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- affiliation: MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, USA
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2020 – today
- 2024
[j48]Benjamin Billot
, Neel Dey, Daniel Moyer, Malte Hoffmann, Esra Abaci Turk, Borjan A. Gagoski, Patricia Ellen Grant, Polina Golland:
SE(3)-Equivariant and Noise-Invariant 3D Rigid Motion Tracking in Brain MRI. IEEE Trans. Medical Imaging 43(11): 4029-4040 (2024)- [c122]Sean I. Young, Yaël Balbastre, Bruce Fischl, Polina Golland, Juan Eugenio Iglesias:
Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI. CVPR 2024: 11535-11545 - [c121]Vivek Gopalakrishnan, Neel Dey, Polina Golland:
Intraoperative 2D/3D Image Registration via Differentiable X-Ray Rendering. CVPR 2024: 11662-11672 - [c120]Sourav Pal, Harshavardhan Adepu, Clinton J. Wang, Polina Golland, Vikas Singh:
Implicit Representations via Operator Learning. ICML 2024 - [c119]Jian Wang, Razieh Faghihpirayesh, Polina Golland, Ali Gholipour:
SpaER: Learning Spatio-temporal Equivariant Representations for Fetal Brain Motion Tracking. PIPPI@MICCAI 2024: 3-13 - [c118]Yiming Chen, Niharika Shimona D'Souza, Akshith Mandepally, Patrick Henninger, Satyananda Kashyap, Neerav Karani, Neel Dey, Marcos Zachary, Raed Rizq, Paul Chouinard, Polina Golland, Tanveer F. Syeda-Mahmood:
Geo-UNet: A Geometrically Constrained Neural Framework for Clinical-Grade Lumen Segmentation in Intravascular Ultrasound. MLMI@MICCAI (1) 2024: 300-309 - [c117]Neel Dey, S. Mazdak Abulnaga, Benjamin Billot, Esra Abaci Turk, Patricia Ellen Grant, Adrian V. Dalca, Polina Golland:
AnyStar: Domain randomized universal star-convex 3D instance segmentation. WACV 2024: 7578-7588 - [e7]Dmytro Chumachenko, Polina Golland, Sergiy Yakovlev:
Proceedings of the 4th International Workshop of IT-professionals on Artificial Intelligence (ProfIT AI 2024) 2024, Cambridge, MA, USA, September 25-27, 2024. CEUR Workshop Proceedings 3777, CEUR-WS.org 2024 [contents] - [i72]Peiqi Wang, Yikang Shen, Zhen Guo, Matthew Stallone, Yoon Kim, Polina Golland, Rameswar Panda:
Diversity Measurement and Subset Selection for Instruction Tuning Datasets. CoRR abs/2402.02318 (2024) - [i71]Molin Zhang, Polina Golland, Patricia Ellen Grant, Elfar Adalsteinsson:
FetalDiffusion: Pose-Controllable 3D Fetal MRI Synthesis with Conditional Diffusion Model. CoRR abs/2404.00132 (2024) - [i70]Clinton J. Wang, Peter Hedman, Polina Golland, Jonathan T. Barron, Daniel Duckworth:
InterNeRF: Scaling Radiance Fields via Parameter Interpolation. CoRR abs/2406.11737 (2024) - [i69]Jian Wang, Razieh Faghihpirayesh, Polina Golland, Ali Gholipour:
SpaER: Learning Spatio-temporal Equivariant Representations for Fetal Brain Motion Tracking. CoRR abs/2407.20198 (2024) - [i68]Yiming Chen, Niharika Shimona D'Souza, Akshith Mandepally, Patrick Henninger, Satyananda Kashyap, Neerav Karani, Neel Dey, Marcos Zachary, Raed Rizq, Paul Chouinard, Polina Golland, Tanveer F. Syeda-Mahmood:
Geo-UNet: A Geometrically Constrained Neural Framework for Clinical-Grade Lumen Segmentation in Intravascular Ultrasound. CoRR abs/2408.04826 (2024) - [i67]Jian Wang, Razieh Faghihpirayesh, Danny Joca, Polina Golland, Ali Gholipour:
UniMo: Universal Motion Correction For Medical Images without Network Retraining. CoRR abs/2409.14204 (2024) - [i66]Paul Weiser, Georg Langs, Wolfgang Bogner, Stanislav Motyka, Bernhard Strasser, Polina Golland, Nalini M. Singh, Jorg Dietrich, Erik Uhlmann, Tracy Batchelor, Daniel Cahill, Malte Hoffmann, Antoine Klauser, Ovidiu C. Andronesi:
Deep-ER: Deep Learning ECCENTRIC Reconstruction for fast high-resolution neurometabolic imaging. CoRR abs/2409.18303 (2024) - [i65]Peiqi Wang, Barbara D. Lam, Yingcheng Liu, Ameneh Asgari-Targhi, Rameswar Panda, William M. Wells III, Tina Kapur, Polina Golland:
Calibrating Expressions of Certainty. CoRR abs/2410.04315 (2024) - [i64]Neel Dey, Benjamin Billot, Hallee E. Wong, Clinton J. Wang, Mengwei Ren, Patricia Ellen Grant, Adrian V. Dalca, Polina Golland:
Learning General-Purpose Biomedical Volume Representations using Randomized Synthesis. CoRR abs/2411.02372 (2024) - [i63]Mohammadhossein Momeni, Vivek Gopalakrishnan, Neel Dey, Polina Golland, Sarah F. Frisken:
Differentiable Voxel-based X-ray Rendering Improves Sparse-View 3D CBCT Reconstruction. CoRR abs/2411.19224 (2024) - 2023
- [j47]Henry F. J. Tregidgo, Sonja Soskic, Juri Althonayan, Chiara Maffei, Koen Van Leemput, Polina Golland, Ricardo Insausti, Garikoitz Lerma-Usabiaga, César Caballero-Gaudes, Pedro M. Paz-Alonso, Anastasia Yendiki, Daniel C. Alexander, Martina Bocchetta, Jonathan D. Rohrer, Juan Eugenio Iglesias:
Accurate Bayesian segmentation of thalamic nuclei using diffusion MRI and an improved histological atlas. NeuroImage 274: 120129 (2023) - [j46]Junshen Xu, Daniel Moyer, Borjan A. Gagoski, Juan Eugenio Iglesias, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson:
NeSVoR: Implicit Neural Representation for Slice-to-Volume Reconstruction in MRI. IEEE Trans. Medical Imaging 42(6): 1707-1719 (2023) - [j45]Clinton J. Wang, Natalia S. Rost, Polina Golland:
Spatial-Intensity Transforms for Medical Image-to-Image Translation. IEEE Trans. Medical Imaging 42(11): 3362-3373 (2023) - [j44]Clinton J. Wang, Polina Golland:
Discretization Invariant Networks for Learning Maps between Neural Fields. Trans. Mach. Learn. Res. 2023 (2023) - [j43]S. Mazdak Abulnaga, Oded Stein, Polina Golland, Justin Solomon:
Symmetric Volume Maps: Order-invariant Volumetric Mesh Correspondence with Free Boundary. ACM Trans. Graph. 42(3): 25:1-25:20 (2023) - [c116]Peiqi Wang, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland:
Using Multiple Instance Learning to Build Multimodal Representations. IPMI 2023: 457-470 - [c115]Yingcheng Liu, Neerav Karani, S. Mazdak Abulnaga, Junshen Xu, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland:
Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series. PIPPI@MICCAI 2023: 77-87 - [c114]Satyananda Kashyap, Neerav Karani, Alexander Shang, Niharika Shimona D'Souza, Neel Dey, Lay Jain, Ray Wang, Hatice Akakin, Qian Li, Wenguang Li, Corydon Carlson, Polina Golland, Tanveer F. Syeda-Mahmood:
Feature Selection for Malapposition Detection in Intravascular Ultrasound - A Comparative Study. AMAI@MICCAI 2023: 165-175 - [c113]Henry F. J. Tregidgo, Sonja Soskic, Mark D. Olchanyi, Juri Althonayan, Benjamin Billot, Chiara Maffei, Polina Golland, Anastasia Yendiki, Daniel C. Alexander, Martina Bocchetta, Jonathan D. Rohrer, Juan Eugenio Iglesias:
Domain-Agnostic Segmentation of Thalamic Nuclei from Joint Structural and Diffusion MRI. MICCAI (8) 2023: 247-257 - [c112]Neerav Karani, Neel Dey, Polina Golland:
Boundary-Weighted Logit Consistency Improves Calibration of Segmentation Networks. MICCAI (3) 2023: 367-377 - [c111]Nalini M. Singh, Neel Dey, Malte Hoffmann, Bruce Fischl, Elfar Adalsteinsson, Robert Frost, Adrian V. Dalca, Polina Golland:
Data Consistent Deep Rigid MRI Motion Correction. MIDL 2023: 368-381 - [c110]Peiqi Wang, Yingcheng Liu, Ching-Yun Ko, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland:
Sample-Specific Debiasing for Better Image-Text Models. MLHC 2023: 788-803 - [i62]Nalini M. Singh, Neel Dey, Malte Hoffmann, Bruce Fischl, Elfar Adalsteinsson, Robert Frost, Adrian V. Dalca, Polina Golland:
Data Consistent Deep Rigid MRI Motion Correction. CoRR abs/2301.10365 (2023) - [i61]Peiqi Wang, Yingcheng Liu, Ching-Yun Ko, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland:
Sample-Specific Debiasing for Better Image-Text Models. CoRR abs/2304.13181 (2023) - [i60]Henry F. J. Tregidgo, Sonja Soskic, Mark D. Olchanyi, Juri Althonayan, Benjamin Billot, Chiara Maffei, Polina Golland, Anastasia Yendiki, Daniel C. Alexander, Martina Bocchetta, Jonathan D. Rohrer, Juan Eugenio Iglesias:
Domain-agnostic segmentation of thalamic nuclei from joint structural and diffusion MRI. CoRR abs/2305.03413 (2023) - [i59]Neel Dey, S. Mazdak Abulnaga, Benjamin Billot, Esra Abaci Turk, Patricia Ellen Grant, Adrian V. Dalca, Polina Golland:
AnyStar: Domain randomized universal star-convex 3D instance segmentation. CoRR abs/2307.07044 (2023) - [i58]Neerav Karani, Neel Dey, Polina Golland:
Boundary-weighted logit consistency improves calibration of segmentation networks. CoRR abs/2307.08163 (2023) - [i57]Clinton J. Wang, Polina Golland:
Interpolating between Images with Diffusion Models. CoRR abs/2307.12560 (2023) - [i56]Yingcheng Liu, Neerav Karani, Neel Dey, S. Mazdak Abulnaga, Junshen Xu, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland:
Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series. CoRR abs/2310.03870 (2023) - [i55]Dominik Hollidt, Clinton J. Wang, Polina Golland, Marc Pollefeys:
Geometry Aware Field-to-field Transformations for 3D Semantic Segmentation. CoRR abs/2310.05133 (2023) - [i54]Keegan Quigley, Miriam Cha, Josh Barua, Geeticka Chauhan, Seth J. Berkowitz, Steven Horng, Polina Golland:
Bidirectional Captioning for Clinically Accurate and Interpretable Models. CoRR abs/2310.19635 (2023) - [i53]Zeen Chi, Zhongxiao Cong, Clinton J. Wang, Yingcheng Liu, Esra Abaci Turk, Patricia Ellen Grant, S. Mazdak Abulnaga, Polina Golland, Neel Dey:
Dynamic Neural Fields for Learning Atlases of 4D Fetal MRI Time-series. CoRR abs/2311.02874 (2023) - [i52]Sean I. Young, Yaël Balbastre, Bruce Fischl, Polina Golland, Juan Eugenio Iglesias:
Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI. CoRR abs/2312.03102 (2023) - [i51]S. Mazdak Abulnaga, Neel Dey, Sean I. Young, Eileen Pan, Katherine I. Hobgood, Clinton J. Wang, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland:
Shape-aware Segmentation of the Placenta in BOLD Fetal MRI Time Series. CoRR abs/2312.05148 (2023) - [i50]Vivek Gopalakrishnan, Neel Dey, Polina Golland:
Intraoperative 2D/3D Image Registration via Differentiable X-ray Rendering. CoRR abs/2312.06358 (2023) - [i49]Benjamin Billot, Daniel Moyer, Neel Dey, Malte Hoffmann, Esra Abaci Turk, Borjan A. Gagoski, Patricia Ellen Grant, Polina Golland:
SE(3)-Equivariant and Noise-Invariant 3D Motion Tracking in Medical Images. CoRR abs/2312.13534 (2023) - 2022
- [j42]Danielle F. Pace, Adrian V. Dalca, Tom Brosch, Tal Geva, Andrew J. Powell, Jürgen Weese, Mehdi Hedjazi Moghari, Polina Golland:
Learned iterative segmentation of highly variable anatomy from limited data: Applications to whole heart segmentation for congenital heart disease. Medical Image Anal. 80: 102469 (2022) - [j41]Nalini M. Singh, Jordan B. Harrod, Sandya Subramanian, Mitchell B. Robinson, Ken Chang, Suheyla Cetin Karayumak, Adrian Vasile Dalca, Simon B. Eickhoff, Michael Fox, Loraine Franke, Polina Golland, Daniel Haehn, Juan Eugenio Iglesias, Lauren J. O'Donnell, Yangming Ou, Yogesh Rathi, Shan H. Siddiqi, Haoqi Sun, M. Brandon Westover, Susan L. Whitfield-Gabrieli, Randy L. Gollub:
How Machine Learning is Powering Neuroimaging to Improve Brain Health. Neuroinformatics 20(4): 943-964 (2022) - [j40]S. Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, Patricia Ellen Grant, Justin Solomon, Polina Golland:
Volumetric Parameterization of the Placenta to a Flattened Template. IEEE Trans. Medical Imaging 41(4): 925-936 (2022) - [c109]S. Mazdak Abulnaga, Sean I. Young, Katherine Hobgood, Eileen Pan, Clinton J. Wang, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland:
Automatic Segmentation of the Placenta in BOLD MRI Time Series. PIPPI@MICCAI 2022: 1-12 - [c108]Vivek Gopalakrishnan, Polina Golland:
Fast Auto-differentiable Digitally Reconstructed Radiographs for Solving Inverse Problems in Intraoperative Imaging. CLIP@MICCAI 2022: 1-11 - [c107]Junshen Xu, Daniel Moyer, Patricia Ellen Grant, Polina Golland, Juan Eugenio Iglesias, Elfar Adalsteinsson:
SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI. MICCAI (6) 2022: 3-13 - [c106]Keegan Quigley, Miriam Cha, Ruizhi Liao, Geeticka Chauhan, Steven Horng, Seth J. Berkowitz, Polina Golland:
RadTex: Learning Efficient Radiograph Representations from Text Reports. REMIA@MICCAI 2022: 22-31 - [i48]S. Mazdak Abulnaga, Oded Stein, Polina Golland, Justin M. Solomon:
Symmetric Volume Maps. CoRR abs/2202.02568 (2022) - [i47]Sean I. Young, Adrian V. Dalca, Enzo Ferrante, Polina Golland, Bruce Fischl, Juan Eugenio Iglesias:
SUD: Supervision by Denoising for Medical Image Segmentation. CoRR abs/2202.02952 (2022) - [i46]Clinton J. Wang, Polina Golland:
Deep Learning on Implicit Neural Datasets. CoRR abs/2206.01178 (2022) - [i45]Junshen Xu, Daniel Moyer, Patricia Ellen Grant, Polina Golland, Juan Eugenio Iglesias, Elfar Adalsteinsson:
SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI. CoRR abs/2206.10802 (2022) - [i44]S. Mazdak Abulnaga, Sean I. Young, Katherine Hobgood, Eileen Pan, Clinton J. Wang, Patricia Ellen Grant, Esra Abaci Turk, Polina Golland:
Automatic Segmentation of the Placenta in BOLD MRI Time Series. CoRR abs/2208.02895 (2022) - [i43]Keegan Quigley, Miriam Cha, Ruizhi Liao, Geeticka Chauhan, Steven Horng, Seth J. Berkowitz, Polina Golland:
RadTex: Learning Efficient Radiograph Representations from Text Reports. CoRR abs/2208.03218 (2022) - [i42]Vivek Gopalakrishnan, Polina Golland:
Fast Auto-Differentiable Digitally Reconstructed Radiographs for Solving Inverse Problems in Intraoperative Imaging. CoRR abs/2208.12737 (2022) - [i41]Deborah Pereg, Martin Villiger, Brett E. Bouma, Polina Golland:
Less is More: Rethinking Few-Shot Learning and Recurrent Neural Nets. CoRR abs/2209.14267 (2022) - [i40]Peiqi Wang, William M. Wells III, Seth J. Berkowitz, Steven Horng, Polina Golland:
Using Multiple Instance Learning to Build Multimodal Representations. CoRR abs/2212.05561 (2022) - 2021
- [j39]Juan Eugenio Iglesias, Benjamin Billot, Yaël Balbastre, Azadeh Tabari, John Conklin, R. Gilberto González, Daniel C. Alexander, Polina Golland, Brian L. Edlow, Bruce Fischl:
Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast. NeuroImage 237: 118206 (2021) - [c105]Sungmin Hong, Razvan V. Marinescu, Adrian V. Dalca, Anna K. Bonkhoff, Martin Bretzner, Natalia S. Rost, Polina Golland:
3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images. DGM4MICCAI/DALI@MICCAI 2021: 24-34 - [c104]Daniel Moyer, Esra Abaci Turk, Patricia Ellen Grant, William M. Wells III, Polina Golland:
Equivariant Filters for Efficient Tracking in 3D Imaging. MICCAI (4) 2021: 193-202 - [c103]Junshen Xu, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson:
STRESS: Super-Resolution for Dynamic Fetal MRI Using Self-supervised Learning. MICCAI (7) 2021: 197-206 - [c102]Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth J. Berkowitz, Steven Horng, Polina Golland, William M. Wells III:
Multimodal Representation Learning via Maximization of Local Mutual Information. MICCAI (2) 2021: 273-283 - [c101]Peiqi Wang, Ruizhi Liao, Daniel Moyer, Seth J. Berkowitz, Steven Horng, Polina Golland:
Image Classification with Consistent Supporting Evidence. ML4H@NeurIPS 2021: 168-180 - [i39]Daniel Moyer, Polina Golland:
Harmonization and the Worst Scanner Syndrome. CoRR abs/2101.06255 (2021) - [i38]Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth J. Berkowitz, Steven Horng, Polina Golland, William M. Wells III:
Multimodal Representation Learning via Maximization of Local Mutual Information. CoRR abs/2103.04537 (2021) - [i37]Daniel Moyer, Esra Abaci Turk, Patricia Ellen Grant, William M. Wells III, Polina Golland:
Equivariant Filters for Efficient Tracking in 3D Imaging. CoRR abs/2103.10255 (2021) - [i36]Vedvayas Mallela, Polina Golland, Razvan V. Marinescu:
BrainPainter v2: Mouse Brain Visualization Software. CoRR abs/2103.14696 (2021) - [i35]Mohammad Haft-Javaherian, Martin Villiger, Kenichiro Otsuka, Joost Daemen, Peter Libby, Polina Golland, Brett E. Bouma:
Segmentation of Anatomical Layers and Artifacts in Intravascular Polarization Sensitive Optical Coherence Tomography Using Attending Physician and Boundary Cardinality Lost Terms. CoRR abs/2105.05137 (2021) - [i34]Junshen Xu, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson:
STRESS: Super-Resolution for Dynamic Fetal MRI using Self-Supervised Learning. CoRR abs/2106.12407 (2021) - [i33]Sungmin Hong, Razvan V. Marinescu, Adrian V. Dalca, Anna K. Bonkhoff, Martin Bretzner, Natalia S. Rost, Polina Golland:
3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images. CoRR abs/2107.09700 (2021) - [i32]Peiqi Wang, Ruizhi Liao, Daniel Moyer, Seth J. Berkowitz, Steven Horng, Polina Golland:
Image Classification with Consistent Supporting Evidence. CoRR abs/2111.07048 (2021) - [i31]S. Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, Patricia Ellen Grant, Justin Solomon, Polina Golland:
Volumetric Parameterization of the Placenta to a Flattened Template. CoRR abs/2111.07900 (2021) - [i30]Sungmin Hong, Anna K. Bonkhoff, Andrew Hoopes, Martin Bretzner, Markus D. Schirmer, Anne-Katrin Giese, Adrian V. Dalca, Polina Golland, Natalia S. Rost:
Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels. CoRR abs/2112.06693 (2021) - 2020
- [j38]Christian Wachinger, Matthew Toews, Georg Langs, William M. Wells III, Polina Golland:
Keypoint Transfer for Fast Whole-Body Segmentation. IEEE Trans. Medical Imaging 39(2): 273-282 (2020) - [c100]Mohammad Haft-Javaherian, Martin Villiger, Chris B. Schaffer, Nozomi Nishimura, Polina Golland, Brett E. Bouma:
A topological encoding convolutional neural network for segmentation of 3D multiphoton images of brain vasculature using persistent homology. CVPR Workshops 2020: 4262-4271 - [c99]Junshen Xu, Molin Zhang, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson:
3D Fetal Pose Estimation with Adaptive Variance and Conditional Generative Adversarial Network. ASMUS/PIPPI@MICCAI 2020: 201-210 - [c98]Junshen Xu, Sayeri Lala, Borjan A. Gagoski, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson:
Semi-supervised Learning for Fetal Brain MRI Quality Assessment with ROI Consistency. MICCAI (6) 2020: 386-395 - [c97]Molin Zhang, Junshen Xu, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson:
Enhanced Detection of Fetal Pose in 3D MRI by Deep Reinforcement Learning with Physical Structure Priors on Anatomy. MICCAI (6) 2020: 396-405 - [c96]Geeticka Chauhan, Ruizhi Liao, William M. Wells III, Jacob Andreas, Xin Wang, Seth J. Berkowitz, Steven Horng, Peter Szolovits, Polina Golland:
Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment. MICCAI (2) 2020: 529-539 - [c95]Clinton J. Wang, Natalia S. Rost, Polina Golland:
Spatial-Intensity Transform GANs for High Fidelity Medical Image-to-Image Translation. MICCAI (2) 2020: 749-759 - [c94]Alireza Mehrtash, Purang Abolmaesumi, Polina Golland, Tina Kapur, Demian Wassermann, William M. Wells III:
PEP: Parameter Ensembling by Perturbation. NeurIPS 2020 - [i29]Polina Golland, Jack L. Gallant, Greg Hager, Hanspeter Pfister, Christos H. Papadimitriou, Stefan Schaal, Joshua T. Vogelstein:
A New Age of Computing and the Brain. CoRR abs/2004.12926 (2020) - [i28]Junshen Xu, Sayeri Lala, Borjan A. Gagoski, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson:
Semi-Supervised Learning for Fetal Brain MRI Quality Assessment with ROI consistency. CoRR abs/2006.12704 (2020) - [i27]Nalini M. Singh, Juan Eugenio Iglesias, Elfar Adalsteinsson, Adrian V. Dalca, Polina Golland:
Joint Frequency- and Image-Space Learning for Fourier Imaging. CoRR abs/2007.01441 (2020) - [i26]Molin Zhang, Junshen Xu, Esra Abaci Turk, Patricia Ellen Grant, Polina Golland, Elfar Adalsteinsson:
Enhanced detection of fetal pose in 3D MRI by Deep Reinforcement Learning with physical structure priors on anatomy. CoRR abs/2007.08146 (2020) - [i25]Steven Horng, Ruizhi Liao, Xin Wang, Sandeep Dalal, Polina Golland, Seth J. Berkowitz:
Deep Learning to Quantify Pulmonary Edema in Chest Radiographs. CoRR abs/2008.05975 (2020) - [i24]Geeticka Chauhan, Ruizhi Liao, William M. Wells III, Jacob Andreas, Xin Wang, Seth J. Berkowitz, Steven Horng, Peter Szolovits, Polina Golland:
Joint Modeling of Chest Radiographs and Radiology Reports for Pulmonary Edema Assessment. CoRR abs/2008.09884 (2020) - [i23]Ruizhi Liao, Daniel Moyer, Polina Golland, William M. Wells III:
DEMI: Discriminative Estimator of Mutual Information. CoRR abs/2010.01766 (2020) - [i22]Adrian V. Dalca, Ramesh Sridharan, Mert R. Sabuncu, Polina Golland:
Predictive Modeling of Anatomy with Genetic and Clinical Data. CoRR abs/2010.04757 (2020) - [i21]Alireza Mehrtash, Purang Abolmaesumi, Polina Golland, Tina Kapur, Demian Wassermann, William M. Wells III:
PEP: Parameter Ensembling by Perturbation. CoRR abs/2010.12721 (2020) - [i20]Razvan V. Marinescu, Daniel Moyer, Polina Golland:
Bayesian Image Reconstruction using Deep Generative Models. CoRR abs/2012.04567 (2020) - [i19]Juan Eugenio Iglesias, Benjamin Billot, Yaël Balbastre, Azadeh Tabari, John Conklin, Daniel C. Alexander, Polina Golland, Brian L. Edlow, Bruce Fischl:
Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast. CoRR abs/2012.13340 (2020)
2010 – 2019
- 2019
- [j37]Inês Machado, Matthew Toews, Elizabeth George, Prashin Unadkat, Walid Essayed, Jie Luo, Pedro Teodoro, Herculano Carvalho, Jorge Martins, Polina Golland, Steve Pieper, Sarah F. Frisken, Alexandra J. Golby, William M. Wells III, Yangming Ou:
Deformable MRI-Ultrasound registration using correlation-based attribute matching for brain shift correction: Accuracy and generality in multi-site data. NeuroImage 202 (2019) - [j36]Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland:
Medical Image Imputation From Image Collections. IEEE Trans. Medical Imaging 38(2): 504-514 (2019) - [c93]Juan Eugenio Iglesias, Koen Van Leemput, Polina Golland, Anastasia Yendiki:
Joint Inference on Structural and Diffusion MRI for Sequence-Adaptive Bayesian Segmentation of Thalamic Nuclei with Probabilistic Atlases. IPMI 2019: 767-779 - [c92]Razvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young, Esther E. Bron, Arthur W. Toga, Michael W. Weiner, Frederik Barkhof, Nick C. Fox, Polina Golland, Stefan Klein, Daniel C. Alexander:
TADPOLE Challenge: Accurate Alzheimer's Disease Prediction Through Crowdsourced Forecasting of Future Data. PRIME@MICCAI 2019: 1-10 - [c91]Sayed Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, Patricia Ellen Grant, Justin Solomon, Polina Golland:
Placental Flattening via Volumetric Parameterization. MICCAI (4) 2019: 39-47 - [c90]Bernhard Egger, Markus D. Schirmer, Florian Dubost, Marco J. Nardin, Natalia S. Rost, Polina Golland:
Patient-Specific Conditional Joint Models of Shape, Image Features and Clinical Indicators. MICCAI (4) 2019: 93-101 - [c89]Razvan V. Marinescu, Arman Eshaghi, Daniel C. Alexander, Polina Golland:
BrainPainter: A Software for the Visualisation of Brain Structures, Biomarkers and Associated Pathological Processes. MBIA/MFCA@MICCAI 2019: 112-120 - [c88]Adrian V. Dalca, Evan M. Yu, Polina Golland, Bruce Fischl, Mert R. Sabuncu, Juan Eugenio Iglesias:
Unsupervised Deep Learning for Bayesian Brain MRI Segmentation. MICCAI (3) 2019: 356-365 - [c87]Junshen Xu, Molin Zhang, Esra Abaci Turk, Larry Zhang, Patricia Ellen Grant, Kui Ying, Polina Golland, Elfar Adalsteinsson:
Fetal Pose Estimation in Volumetric MRI Using a 3D Convolution Neural Network. MICCAI (4) 2019: 403-410 - [c86]Razvan V. Marinescu, Marco Lorenzi, Stefano B. Blumberg, Alexandra L. Young, Pere Planell-Morell, Neil P. Oxtoby, Arman Eshaghi, Keir X. Yong, Sebastian J. Crutch, Polina Golland, Daniel C. Alexander:
Disease Knowledge Transfer Across Neurodegenerative Diseases. MICCAI (2) 2019: 860-868 - [i18]Ruizhi Liao, Jonathan Rubin, Grace Lam, Seth J. Berkowitz, Sandeep Dalal, William M. Wells III, Steven Horng, Polina Golland:
Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images. CoRR abs/1902.10785 (2019) - [i17]Ruizhi Liao, Esra Abaci Turk, Miaomiao Zhang, Jie Luo, Elfar Adalsteinsson, Patricia Ellen Grant, Polina Golland:
Temporal Registration in Application to In-utero MRI Time Series. CoRR abs/1903.02959 (2019) - [i16]Juan Eugenio Iglesias, Koen Van Leemput, Polina Golland, Anastasia Yendiki:
Joint inference on structural and diffusion MRI for sequence-adaptive Bayesian segmentation of thalamic nuclei with probabilistic atlases. CoRR abs/1903.04352 (2019) - [i15]Sayed Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev, Patricia Ellen Grant, Justin Solomon, Polina Golland:
Placental Flattening via Volumetric Parameterization. CoRR abs/1903.05044 (2019) - [i14]Adrian V. Dalca, Evan M. Yu, Polina Golland, Bruce Fischl, Mert R. Sabuncu, Juan Eugenio Iglesias:
Unsupervised deep learning for Bayesian brain MRI segmentation. CoRR abs/1904.11319 (2019) - [i13]Razvan V. Marinescu, Daniel C. Alexander, Polina Golland:
BrainPainter: A software for the visualisation of brain structures, biomarkers and associated pathological processes. CoRR abs/1905.08627 (2019) - [i12]Junshen Xu, Molin Zhang, Esra Abaci Turk, Larry Zhang, Patricia Ellen Grant, Kui Ying, Polina Golland, Elfar Adalsteinsson:
Fetal Pose Estimation in Volumetric MRI using a 3D Convolution Neural Network. CoRR abs/1907.04500 (2019) - [i11]Bernhard Egger, Markus D. Schirmer, Florian Dubost, Marco J. Nardin, Natalia S. Rost, Polina Golland:
Patient-specific Conditional Joint Models of Shape, Image Features and Clinical Indicators. CoRR abs/1907.07783 (2019) - 2018
- [j35]Inês Machado, Matthew Toews, Jie Luo, Prashin Unadkat, Walid Essayed, Elizabeth George, Pedro Teodoro, Herculano Carvalho, Jorge Martins, Polina Golland, Steve Pieper, Sarah F. Frisken, Alexandra J. Golby, William M. Wells III:
Non-rigid registration of 3D ultrasound for neurosurgery using automatic feature detection and matching. Int. J. Comput. Assist. Radiol. Surg. 13(10): 1525-1538 (2018) - [j34]Jie Luo, Sarah F. Frisken, Inês Machado, Miaomiao Zhang, Steve Pieper, Polina Golland, Matthew Toews, Prashin Unadkat, Alireza Sedghi, Haoyin Zhou, Alireza Mehrtash, Frank Preiswerk, Cheng-Chieh Cheng, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III:
Using the variogram for vector outlier screening: application to feature-based image registration. Int. J. Comput. Assist. Radiol. Surg. 13(12): 1871-1880 (2018) - [c85]Jie Luo, Matthew Toews, Inês Machado, Sarah F. Frisken, Miaomiao Zhang, Frank Preiswerk, Alireza Sedghi, Hongyi Ding, Steve Pieper, Polina Golland, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III:
A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation. MICCAI (4) 2018: 30-38 - [c84]Inês Machado, Matthew Toews, Jie Luo, Prashin Unadkat, Walid Essayed, Elizabeth George, Pedro Teodoro, Herculano Carvalho, Jorge Martins, Polina Golland, Steve Pieper, Sarah F. Frisken, Alexandra J. Golby, William M. Wells III, Yangming Ou:
Deformable MRI-Ultrasound Registration via Attribute Matching and Mutual-Saliency Weighting for Image-Guided Neurosurgery. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI 2018: 165-171 - [c83]Danielle F. Pace, Adrian V. Dalca, Tom Brosch, Tal Geva, Andrew J. Powell, Jürgen Weese, Mehdi Hedjazi Moghari, Polina Golland:
Iterative Segmentation from Limited Training Data: Applications to Congenital Heart Disease. DLMIA/ML-CDS@MICCAI 2018: 334-342 - [c82]Jian Wang, William M. Wells III, Polina Golland, Miaomiao Zhang:
Efficient Laplace Approximation for Bayesian Registration Uncertainty Quantification. MICCAI (1) 2018: 880-888 - [i10]Jie Luo, Sarah F. Frisken, Karteek Popuri, Dana Cobzas, Frank Preiswerk, Matthew Toews, Miaomiao Zhang, Hongyi Ding, Polina Golland, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III:
On the Ambiguity of Registration Uncertainty. CoRR abs/1803.05266 (2018) - [i9]Jie Luo, Matthew Toews, Inês Machado, Sarah F. Frisken, Miaomiao Zhang, Frank Preiswerk, Alireza Sedghi, Hongyi Ding, Steve Pieper, Polina Golland, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III:
A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation. CoRR abs/1803.07682 (2018) - [i8]Christian Wachinger, Matthew Toews, Georg Langs, William M. Wells III, Polina Golland:
Keypoint Transfer for Fast Whole-Body Segmentation. CoRR abs/1806.08723 (2018) - [i7]Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland:
Medical Image Imputation from Image Collections. CoRR abs/1808.05732 (2018) - [i6]Danielle F. Pace, Adrian V. Dalca, Tom Brosch, Tal Geva, Andrew J. Powell, Jürgen Weese, Mehdi Hedjazi Moghari, Polina Golland:
Iterative Segmentation from Limited Training Data: Applications to Congenital Heart Disease. CoRR abs/1809.04182 (2018) - 2017
- [j33]Miaomiao Zhang, William M. Wells III, Polina Golland:
Probabilistic modeling of anatomical variability using a low dimensional parameterization of diffeomorphisms. Medical Image Anal. 41: 55-62 (2017) - [j32]Christian Wachinger, Matthew S. Brennan, Gregory C. Sharp, Polina Golland:
Efficient Descriptor-Based Segmentation of Parotid Glands With Nonlocal Means. IEEE Trans. Biomed. Eng. 64(7): 1492-1502 (2017) - [c81]Miaomiao Zhang, Ruizhi Liao, Adrian V. Dalca, Esra Abaci Turk, Jie Luo, Patricia Ellen Grant, Polina Golland:
Frequency Diffeomorphisms for Efficient Image Registration. IPMI 2017: 559-570 - [c80]Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland:
Population Based Image Imputation. IPMI 2017: 659-671 - [c79]Yi Hong, Polina Golland, Miaomiao Zhang:
Fast Geodesic Regression for Population-Based Image Analysis. MICCAI (1) 2017: 317-325 - 2016
- [j31]Miaomiao Zhang, Polina Golland:
Statistical shape analysis: From landmarks to diffeomorphisms. Medical Image Anal. 33: 155-158 (2016) - [j30]Bjoern H. Menze, Koen Van Leemput, Danial Lashkari, Tammy Riklin-Raviv, Ezequiel Geremia, Esther Alberts, Philipp Gruber, Susanne Wegener, Marc-André Weber, Gábor Székely, Nicholas Ayache, Polina Golland:
A Generative Probabilistic Model and Discriminative Extensions for Brain Lesion Segmentation - With Application to Tumor and Stroke. IEEE Trans. Medical Imaging 35(4): 933-946 (2016) - [c78]Ruizhi Liao, Esra Abaci Turk, Miaomiao Zhang, Jie Luo, Patricia Ellen Grant, Elfar Adalsteinsson, Polina Golland:
Temporal Registration in In-Utero Volumetric MRI Time Series. MICCAI (3) 2016: 54-62 - [c77]Adrian V. Dalca, Andreea Bobu, Natalia S. Rost, Polina Golland:
Patch-Based Discrete Registration of Clinical Brain Images. Patch-MI@MICCAI 2016: 60-67 - [c76]Miaomiao Zhang, William M. Wells III, Polina Golland:
Low-Dimensional Statistics of Anatomical Variability via Compact Representation of Image Deformations. MICCAI (3) 2016: 166-173 - [c75]Polina Binder, Nematollah Kayhan Batmanghelich, Raúl San José Estépar, Polina Golland:
Unsupervised Discovery of Emphysema Subtypes in a Large Clinical Cohort. MLMI@MICCAI 2016: 180-187 - [i5]Ruizhi Liao, Esra Abaci Turk, Miaomiao Zhang, Jie Luo, Patricia Ellen Grant, Elfar Adalsteinsson, Polina Golland:
Temporal Registration in In-Utero Volumetric MRI Time Series. CoRR abs/1608.03907 (2016) - 2015
- [j29]Christian Barillot, Polina Golland, Nobuhiko Hata, Joachim Hornegger, Robert D. Howe:
MEDIA special issue on MICCAI 2014. Medical Image Anal. 25(1): 1 (2015) - [j28]Christian Wachinger, Polina Golland, William S. Kremen, Bruce Fischl, Martin Reuter:
BrainPrint: A discriminative characterization of brain morphology. NeuroImage 109: 232-248 (2015) - [j27]Bjoern H. Menze, András Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin S. Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, Levente Lanczi, Elizabeth R. Gerstner, Marc-André Weber, Tal Arbel, Brian B. Avants, Nicholas Ayache, Patricia Buendia, D. Louis Collins, Nicolas Cordier, Jason J. Corso, Antonio Criminisi, Tilak Das, Herve Delingette, Çagatay Demiralp, Christopher R. Durst, Michel Dojat, Senan Doyle, Joana Festa, Florence Forbes, Ezequiel Geremia, Ben Glocker, Polina Golland, Xiaotao Guo, Andac Hamamci, Khan M. Iftekharuddin, Raj Jena, Nigel M. John, Ender Konukoglu, Danial Lashkari, José Antonio Mariz, Raphael Meier, Sérgio Pereira, Doina Precup, Stephen J. Price, Tammy Riklin Raviv, Syed M. S. Reza, Michael T. Ryan, Duygu Sarikaya, Lawrence H. Schwartz, Hoo-Chang Shin, Jamie Shotton, Carlos A. Silva, Nuno J. Sousa, Nagesh K. Subbanna, Gábor Székely, Thomas J. Taylor, Owen M. Thomas, Nicholas J. Tustison, Gözde B. Ünal, Flor Vasseur, Max Wintermark, Dong Hye Ye, Liang Zhao, Binsheng Zhao, Darko Zikic, Marcel Prastawa, Mauricio Reyes, Koen Van Leemput:
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging 34(10): 1993-2024 (2015) - [c74]Nematollah Kayhan Batmanghelich, Ardavan Saeedi, Michael H. Cho, Raúl San José Estépar, Polina Golland:
Generative Method to Discover Genetically Driven Image Biomarkers. IPMI 2015: 30-42 - [c73]Christian Wachinger, Matthew Toews, Georg Langs, William M. Wells III, Polina Golland:
Keypoint Transfer Segmentation. IPMI 2015: 233-245 - [c72]Christian Wachinger, Polina Golland:
Sampling from Determinantal Point Processes for Scalable Manifold Learning. IPMI 2015: 687-698 - [c71]Danielle F. Pace, Adrian V. Dalca, Tal Geva, Andrew J. Powell, Mehdi Hedjazi Moghari, Polina Golland:
Interactive Whole-Heart Segmentation in Congenital Heart Disease. MICCAI (3) 2015: 80-88 - [c70]George H. Chen, Devavrat Shah, Polina Golland:
A Latent Source Model for Patch-Based Image Segmentation. MICCAI (3) 2015: 140-148 - [c69]Georg Langs, Polina Golland, Satrajit S. Ghosh:
Predicting Activation Across Individuals with Resting-State Functional Connectivity Based Multi-Atlas Label Fusion. MICCAI (2) 2015: 313-320 - [c68]Adrian V. Dalca, Ramesh Sridharan, Mert R. Sabuncu, Polina Golland:
Predictive Modeling of Anatomy with Genetic and Clinical Data. MICCAI (3) 2015: 519-526 - [i4]Christian Wachinger, Polina Golland:
Diverse Landmark Sampling from Determinantal Point Processes for Scalable Manifold Learning. CoRR abs/1503.03506 (2015) - [i3]George H. Chen, Devavrat Shah, Polina Golland:
A Latent Source Model for Patch-Based Image Segmentation. CoRR abs/1510.01648 (2015) - 2014
- [j26]Alexandra Woolgar, Polina Golland, Stefan Bode:
Coping with confounds in multivoxel pattern analysis: What should we do about reaction time differences? A comment on Todd, Nystrom & Cohen 2013. NeuroImage 98: 506-512 (2014) - [j25]Georg Langs, Andrew Sweet, Danial Lashkari, Yanmei Tie, Laura Rigolo, Alexandra J. Golby, Polina Golland:
Decoupling function and anatomy in atlases of functional connectivity patterns: Language mapping in tumor patients. NeuroImage 103: 462-475 (2014) - [c67]Kayhan N. Batmanghelich, Michael H. Cho, Raúl San José Estépar, Polina Golland:
Spherical Topic Models for Imaging Phenotype Discovery in Genetic Studies. BAMBI 2014: 107-117 - [c66]Christian Wachinger, Polina Golland, Martin Reuter:
BrainPrint : Identifying Subjects by Their Brain. MICCAI (3) 2014: 41-48 - [c65]Christian Wachinger, Polina Golland, Martin Reuter, William M. Wells III:
Gaussian Process Interpolation for Uncertainty Estimation in Image Registration. MICCAI (1) 2014: 267-274 - [c64]Christian Wachinger, Polina Golland:
Atlas-Based Under-Segmentation. MICCAI (1) 2014: 315-322 - [c63]Adrian Vasile Dalca, Ramesh Sridharan, Lisa Cloonan, Kaitlin M. Fitzpatrick, Allison Kanakis, Karen L. Furie, Jonathan Rosand, Ona Wu, Mert R. Sabuncu, Natalia S. Rost, Polina Golland:
Segmentation of Cerebrovascular Pathologies in Stroke Patients with Spatial and Shape Priors. MICCAI (2) 2014: 773-780 - [e6]Polina Golland, Nobuhiko Hata, Christian Barillot, Joachim Hornegger, Robert D. Howe:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014 - 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part I. Lecture Notes in Computer Science 8673, Springer 2014, ISBN 978-3-319-10403-4 [contents] - [e5]Polina Golland, Nobuhiko Hata, Christian Barillot, Joachim Hornegger, Robert D. Howe:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014 - 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part II. Lecture Notes in Computer Science 8674, Springer 2014, ISBN 978-3-319-10469-0 [contents] - [e4]Polina Golland, Nobuhiko Hata, Christian Barillot, Joachim Hornegger, Robert D. Howe:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014 - 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part III. Lecture Notes in Computer Science 8675, Springer 2014, ISBN 978-3-319-10442-3 [contents] - [i2]Nematollah Kayhan Batmanghelich, Gerald T. Quon, Alex Kulesza, Manolis Kellis, Polina Golland, Luke Bornn:
Diversifying Sparsity Using Variational Determinantal Point Processes. CoRR abs/1411.6307 (2014) - 2013
- [j24]Hervé Delingette, Polina Golland, Kensaku Mori:
Editorial for the MEDIA special issue on MICCAI 2012. Medical Image Anal. 17(7): 711 (2013) - [j23]Archana Venkataraman, Marek Kubicki, Polina Golland:
From Connectivity Models to Region Labels: Identifying Foci of a Neurological Disorder. IEEE Trans. Medical Imaging 32(11): 2078-2098 (2013) - [c62]George H. Chen, Christian Wachinger, Polina Golland:
Sparse Projections of Medical Images onto Manifolds. IPMI 2013: 292-303 - [c61]Nematollah Batmanghelich, Adrian V. Dalca, Mert R. Sabuncu, Polina Golland:
Joint Modeling of Imaging and Genetics. IPMI 2013: 766-777 - [c60]Ramesh Sridharan, Adrian V. Dalca, Kaitlin M. Fitzpatrick, Lisa Cloonan, Allison Kanakis, Ona Wu, Karen L. Furie, Jonathan Rosand, Natalia S. Rost, Polina Golland:
Quantification and Analysis of Large Multimodal Clinical Image Studies: Application to Stroke. MBIA 2013: 18-30 - [c59]Andrew Sweet, Archana Venkataraman, Steven M. Stufflebeam, Hesheng Liu, Naoro Tanaka, Joseph R. Madsen, Polina Golland:
Detecting Epileptic Regions Based on Global Brain Connectivity Patterns. MICCAI (1) 2013: 98-105 - [c58]Christian Wachinger, Gregory C. Sharp, Polina Golland:
Contour-Driven Regression for Label Inference in Atlas-Based Segmentation. MICCAI (3) 2013: 211-218 - [i1]George H. Chen, Christian Wachinger, Polina Golland:
Sparse Projections of Medical Images onto Manifolds. CoRR abs/1303.5508 (2013) - 2012
- [j22]Danial Lashkari, Ramesh Sridharan, Edward Vul, Po-Jang Hsieh, Nancy Kanwisher, Polina Golland:
Search for patterns of functional specificity in the brain: A nonparametric hierarchical Bayesian model for group fMRI data. NeuroImage 59(2): 1348-1368 (2012) - [j21]Archana Venkataraman, Yogesh Rathi, Marek Kubicki, Carl-Fredrik Westin, Polina Golland:
Joint Modeling of Anatomical and Functional Connectivity for Population Studies. IEEE Trans. Medical Imaging 31(2): 164-182 (2012) - [c57]Christian Wachinger, Polina Golland:
Spectral Label Fusion. MICCAI (3) 2012: 410-417 - [c56]Archana Venkataraman, Marek Kubicki, Polina Golland:
From Brain Connectivity Models to Identifying Foci of a Neurological Disorder. MICCAI (1) 2012: 715-722 - [e3]Nicholas Ayache, Hervé Delingette, Polina Golland, Kensaku Mori:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012 - 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part I. Lecture Notes in Computer Science 7510, Springer 2012, ISBN 978-3-642-33414-6 [contents] - [e2]Nicholas Ayache, Hervé Delingette, Polina Golland, Kensaku Mori:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012 - 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part II. Lecture Notes in Computer Science 7511, Springer 2012, ISBN 978-3-642-33417-7 [contents] - [e1]Nicholas Ayache, Hervé Delingette, Polina Golland, Kensaku Mori:
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012 - 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part III. Lecture Notes in Computer Science 7512, Springer 2012, ISBN 978-3-642-33453-5 [contents] - 2011
- [j20]Georg Langs, Bjoern H. Menze, Danial Lashkari, Polina Golland:
Detecting stable distributed patterns of brain activation using Gini contrast. NeuroImage 56(2): 497-507 (2011) - [c55]Marta Peroni, Polina Golland, Gregory C. Sharp, Guido Baroni:
Ranking of stopping criteria for log domain diffeomorphic demons application in clinical radiation therapy. EMBC 2011: 4884-4887 - [c54]Polina Golland, Mert R. Sabuncu:
Modeling anatomical heterogeneity in populations. ICASSP 2011: 5776-5779 - [c53]Georg Langs, Danial Lashkari, Andrew Sweet, Yanmei Tie, Laura Rigolo, Alexandra J. Golby, Polina Golland:
Learning an Atlas of a Cognitive Process in Its Functional Geometry. IPMI 2011: 135-146 - [c52]Bjoern H. Menze, Koen Van Leemput, Antti Honkela, Ender Konukoglu, Marc-André Weber, Nicholas Ayache, Polina Golland:
A Generative Approach for Image-Based Modeling of Tumor Growth. IPMI 2011: 735-747 - [c51]Adrian V. Dalca, Giovanna Danagoulian, Ron Kikinis, Ehud J. Schmidt, Polina Golland:
Segmentation of Nerve Bundles and Ganglia in Spine MRI Using Particle Filters. MICCAI (3) 2011: 537-545 - [c50]George H. Chen, Evelina Fedorenko, Nancy Kanwisher, Polina Golland:
Deformation-Invariant Sparse Coding for Modeling Spatial Variability of Functional Patterns in the Brain. MLINI 2011: 68-75 - 2010
- [j19]Wanmei Ou, William M. Wells III, Polina Golland:
Combining spatial priors and anatomical information for fMRI detection. Medical Image Anal. 14(3): 318-331 (2010) - [j18]Tammy Riklin-Raviv, Koen Van Leemput, Bjoern H. Menze, William M. Wells III, Polina Golland:
Segmentation of image ensembles via latent atlases. Medical Image Anal. 14(5): 654-665 (2010) - [j17]Danial Lashkari, Ed Vul, Nancy Kanwisher, Polina Golland:
Discovering structure in the space of fMRI selectivity profiles. NeuroImage 50(3): 1085-1098 (2010) - [j16]Wanmei Ou, Aapo Nummenmaa, Jyrki Ahveninen, John W. Belliveau, Matti S. Hämäläinen, Polina Golland:
Multimodal functional imaging using fMRI-informed regional EEG/MEG source estimation. NeuroImage 52(1): 97-108 (2010) - [j15]B. T. Thomas Yeo, Mert R. Sabuncu, Tom Vercauteren, Nicholas Ayache, Bruce Fischl, Polina Golland:
Spherical Demons: Fast Diffeomorphic Landmark-Free Surface Registration. IEEE Trans. Medical Imaging 29(3): 650-668 (2010) - [j14]B. T. Thomas Yeo, Mert R. Sabuncu, Tom Vercauteren, Daphne J. Holt, Katrin Amunts, Karl Zilles, Polina Golland, Bruce Fischl:
Learning Task-Optimal Registration Cost Functions for Localizing Cytoarchitecture and Function in the Cerebral Cortex. IEEE Trans. Medical Imaging 29(7): 1424-1441 (2010) - [j13]Mert R. Sabuncu, B. T. Thomas Yeo, Koenraad Van Leemput, Bruce Fischl, Polina Golland:
A Generative Model for Image Segmentation Based on Label Fusion. IEEE Trans. Medical Imaging 29(10): 1714-1729 (2010) - [c49]Danial Lashkari, Ramesh Sridharan, Ed Vul, Po-Jang Hsieh, Nancy Kanwisher, Polina Golland:
Nonparametric hierarchical Bayesian model for functional brain parcellation. CVPR Workshops 2010: 15-22 - [c48]Archana Venkataraman, Marek Kubicki, Carl-Fredrik Westin, Polina Golland:
Robust feature selection in resting-state fMRI connectivity based on population studies. CVPR Workshops 2010: 63-70 - [c47]Carolina Wählby, Tammy Riklin-Raviv, Vebjorn Ljosa, Annie L. Conery, Polina Golland, Frederick M. Ausubel, Anne E. Carpenter:
Resolving clustered worms via probabilistic shape models. ISBI 2010: 552-555 - [c46]Michal Depa, Mert R. Sabuncu, Godtfred Holmvang, Reza Nezafat, Ehud J. Schmidt, Polina Golland:
Robust Atlas-Based Segmentation of Highly Variable Anatomy: Left Atrium Segmentation. STACOM/CESC 2010: 85-94 - [c45]Bjoern H. Menze, Koenraad Van Leemput, Danial Lashkari, Marc-André Weber, Nicholas Ayache, Polina Golland:
A Generative Model for Brain Tumor Segmentation in Multi-Modal Images. MICCAI (2) 2010: 151-159 - [c44]Archana Venkataraman, Yogesh Rathi, Marek Kubicki, Carl-Fredrik Westin, Polina Golland:
Joint Generative Model for fMRI/DWI and Its Application to Population Studies. MICCAI (1) 2010: 191-199 - [c43]Tammy Riklin Raviv, Vebjorn Ljosa, Annie L. Conery, Frederick M. Ausubel, Anne E. Carpenter, Polina Golland, Carolina Wählby:
Morphology-Guided Graph Search for Untangling Objects: C. elegans Analysis. MICCAI (3) 2010: 634-641 - [c42]Georg Langs, Yanmei Tie, Laura Rigolo, Alexandra J. Golby, Polina Golland:
Functional Geometry Alignment and Localization of Brain Areas. NIPS 2010: 1225-1233 - [c41]Danial Lashkari, Ramesh Sridharan, Polina Golland:
Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations. NIPS 2010: 1252-1260
2000 – 2009
- 2009
- [j12]Wanmei Ou, Matti S. Hämäläinen, Polina Golland:
A distributed spatio-temporal EEG/MEG inverse solver. NeuroImage 44(3): 932-946 (2009) - [j11]Mert R. Sabuncu, Serdar K. Balci, Martha Elizabeth Shenton, Polina Golland:
Image-Driven Population Analysis Through Mixture Modeling. IEEE Trans. Medical Imaging 28(9): 1473-1487 (2009) - [j10]B. T. Thomas Yeo, Tom Vercauteren, Pierre Fillard, Jean-Marc Peyrat, Xavier Pennec, Polina Golland, Nicholas Ayache, Olivier Clatz:
DT-REFinD: Diffusion Tensor Registration With Exact Finite-Strain Differential. IEEE Trans. Medical Imaging 28(12): 1914-1928 (2009) - [c40]Archana Venkataraman, Koene R. A. Van Dijk, Randy L. Buckner, Polina Golland:
Exploring functional connectivity in fMRI via clustering. ICASSP 2009: 441-444 - [c39]Wanmei Ou, Aapo Nummenmaa, Matti S. Hämäläinen, Polina Golland:
Multimodal Functional Imaging Using fMRI-Informed Regional EEG/MEG Source Estimation. IPMI 2009: 88-100 - [c38]Danial Lashkari, Polina Golland:
Exploratory fMRI Analysis without Spatial Normalization. IPMI 2009: 398-410 - [c37]Tammy Riklin Raviv, Koen Van Leemput, William M. Wells III, Polina Golland:
Joint Segmentation of Image Ensembles via Latent Atlases. MICCAI (1) 2009: 272-280 - [c36]Mert R. Sabuncu, B. T. Thomas Yeo, Koen Van Leemput, Tom Vercauteren, Polina Golland:
Asymmetric Image-Template Registration. MICCAI (1) 2009: 565-573 - [c35]B. T. Thomas Yeo, Mert R. Sabuncu, Polina Golland, Bruce Fischl:
Task-Optimal Registration Cost Functions. MICCAI (1) 2009: 598-606 - [c34]Wanmei Ou, Tommi Raij, Fa-Hsuan Lin, Polina Golland, Matti S. Hämäläinen:
Modeling Adaptation Effects in fMRI Analysis. MICCAI (1) 2009: 1009-1017 - [c33]Mert R. Sabuncu, B. T. Thomas Yeo, Koen Van Leemput, Bruce Fischl, Polina Golland:
Supervised Nonparametric Image Parcellation. MICCAI (1) 2009: 1075-1083 - 2008
- [j9]Thouis R. Jones, In Han Kang, Douglas B. Wheeler, Robert A. Lindquist, Adam Papallo, David M. Sabatini, Polina Golland, Anne E. Carpenter:
CellProfiler Analyst: data exploration and analysis software for complex image-based screens. BMC Bioinform. 9 (2008) - [j8]B. T. Thomas Yeo, Mert R. Sabuncu, Rahul Desikan, Bruce Fischl, Polina Golland:
Effects of registration regularization and atlas sharpness on segmentation accuracy. Medical Image Anal. 12(5): 603-615 (2008) - [j7]B. T. Thomas Yeo, Wanmei Ou, Polina Golland:
On the Construction of Invertible Filter Banks on the 2-Sphere. IEEE Trans. Image Process. 17(3): 283-300 (2008) - [c32]Polina Golland, Danial Lashkari, Archana Venkataraman:
Spatial patterns and functional profiles for discovering structure in fMRI data. ACSCC 2008: 1402-1409 - [c31]B. T. Thomas Yeo, Tom Vercauteren, Pierre Fillard, Xavier Pennec, Polina Golland, Nicholas Ayache, Olivier Clatz:
DTI registration with exact finite-strain differential. ISBI 2008: 700-703 - [c30]Wanmei Ou, Polina Golland, Matti S. Hämäläinen:
A Distributed Spatio-temporal EEG/MEG Inverse Solver. MICCAI (1) 2008: 26-34 - [c29]Koen Van Leemput, Akram Bakkour, Thomas Benner, Graham C. Wiggins, Lawrence L. Wald, Jean Augustinack, Bradford C. Dickerson, Polina Golland, Bruce Fischl:
Model-Based Segmentation of Hippocampal Subfields in Ultra-High Resolution In Vivo MRI. MICCAI (1) 2008: 235-243 - [c28]Mert R. Sabuncu, Serdar K. Balci, Polina Golland:
Discovering Modes of an Image Population through Mixture Modeling. MICCAI (2) 2008: 381-389 - [c27]B. T. Thomas Yeo, Peng Yu, Patricia Ellen Grant, Bruce Fischl, Polina Golland:
Shape Analysis with Overcomplete Spherical Wavelets. MICCAI (1) 2008: 468-476 - [c26]B. T. Thomas Yeo, Mert R. Sabuncu, Tom Vercauteren, Nicholas Ayache, Bruce Fischl, Polina Golland:
Spherical Demons: Fast Surface Registration. MICCAI (1) 2008: 745-753 - [c25]Sune Darkner, Mert R. Sabuncu, Polina Golland, Rasmus R. Paulsen, Rasmus Larsen:
Analysis of Surfaces Using Constrained Regression Models. MICCAI (1) 2008: 842-849 - [c24]Danial Lashkari, Ed Vul, Nancy Kanwisher, Polina Golland:
Discovering Structure in the Space of Activation Profiles in fMRI. MICCAI (1) 2008: 1016-1024 - 2007
- [j6]Peng Yu, Patricia Ellen Grant, Yuan Qi, Xiao Han, Florent Ségonne, Rudolph Pienaar, Evelina Busa, Jenni Pacheco, Nikos Makris, Randy L. Buckner, Polina Golland, Bruce Fischl:
Cortical Surface Shape Analysis Based on Spherical Wavelets. IEEE Trans. Medical Imaging 26(4): 582-597 (2007) - [j5]Daniel Rueckert, Polina Golland:
Guest Editorial Special Issue on Mathematical Modeling in Biomedical Image Analysis. IEEE Trans. Medical Imaging 26(9): 1133-1135 (2007) - [c23]B. T. Thomas Yeo, Mert R. Sabuncu, Hartmut Mohlberg, Katrin Amunts, Karl Zilles, Polina Golland, Bruce Fischl:
What Data to Co-register for Computing Atlases. ICCV 2007: 1-8 - [c22]Peng Yu, B. T. Thomas Yeo, Patricia Ellen Grant, Bruce Fischl, Polina Golland:
Cortical Folding Development Study based on Over-Complete Spherical Wavelets. ICCV 2007: 1-8 - [c21]Polina Golland, Yulia Golland, Rafael Malach:
Detection of Spatial Activation Patterns as Unsupervised Segmentation of fMRI Data. MICCAI (1) 2007: 110-118 - [c20]B. T. Thomas Yeo, Mert R. Sabuncu, Rahul Desikan, Bruce Fischl, Polina Golland:
Effects of Registration Regularization and Atlas Sharpness on Segmentation Accuracy. MICCAI (1) 2007: 683-691 - [c19]Wanmei Ou, Polina Golland, Matti S. Hämäläinen:
Sources of Variability in MEG. MICCAI (2) 2007: 751-759 - [c18]Danial Lashkari, Polina Golland:
Convex Clustering with Exemplar-Based Models. NIPS 2007: 825-832 - 2006
- [c17]Peng Yu, Xiao Han, Florent Ségonne, Rudolph Pienaar, Randy L. Buckner, Polina Golland, Patricia Ellen Grant, Bruce Fischl:
Cortical Surface Shape Analysis Based on Spherical Wavelet Transformation. CVPR Workshops 2006: 60 - [c16]B. T. Thomas Yeo, Wanmei Ou, Polina Golland:
Invertible Filter Banks on the 2-Sphere. ICIP 2006: 2161-2164 - [c15]Peng Yu, Xiao Han, Florent Ségonne, Arthur K. Liu, Russell A. Poldrack, Polina Golland, Bruce Fischl:
Shape-based Discrimination and Classification of Cortical Surfaces. ICPR (3) 2006: 445-448 - 2005
- [j4]Polina Golland, W. Eric L. Grimson, Martha Elizabeth Shenton, Ron Kikinis:
Detection and analysis of statistical differences in anatomical shape. Medical Image Anal. 9(1): 69-86 (2005) - [c14]Polina Golland, Feng Liang, Sayan Mukherjee, Dmitry Panchenko:
Permutation Tests for Classification. COLT 2005: 501-515 - [c13]W. Eric L. Grimson, Polina Golland:
Analyzing Anatomical Structures: Leveraging Multiple Sources of Knowledge. CVBIA 2005: 3-12 - [c12]Thouis R. Jones, Anne E. Carpenter, Polina Golland:
Voronoi-Based Segmentation of Cells on Image Manifolds. CVBIA 2005: 535-543 - [c11]Wanmei Ou, Polina Golland:
From Spatial Regularization to Anatomical Priors in fMRI Analysis. IPMI 2005: 88-100 - 2003
- [c10]Polina Golland, Bruce Fischl:
Permutation Tests for Classification: Towards Statistical Significance in Image-Based Studies. IPMI 2003: 330-341 - 2002
- [c9]Samson J. Timoner, Polina Golland, Ron Kikinis, Martha Elizabeth Shenton, W. Eric L. Grimson, William M. Wells III:
Performance Issues in Shape Classification. MICCAI (1) 2002: 355-362 - [c8]Polina Golland, Bruce Fischl, Mona Spiridon, Nancy Kanwisher, Randy L. Buckner, Martha Elizabeth Shenton, Ron Kikinis, Anders M. Dale, W. Eric L. Grimson:
Discriminative Analysis for Image-Based Studies. MICCAI (1) 2002: 508-515 - 2001
- [b1]Polina Golland:
Statistical shape analysis of anatomical structures. Massachusetts Institute of Technology, Cambridge, MA, USA, 2001 - [c7]Polina Golland, W. Eric L. Grimson, Martha Elizabeth Shenton, Ron Kikinis:
Deformation Analysis for Shape Based Classification. IPMI 2001: 517-530 - [c6]Polina Golland:
Discriminative Direction for Kernel Classifiers. NIPS 2001: 745-752 - 2000
- [c5]Polina Golland, W. Eric L. Grimson:
Fixed Topology Skeletons. CVPR 2000: 1010-1017 - [c4]Polina Golland, W. Eric L. Grimson, Martha Elizabeth Shenton, Ron Kikinis:
Small Sample Size Learning for Shape Analysis of Anatomical Structures. MICCAI 2000: 72-82
1990 – 1999
- 1999
- [j3]Richard Szeliski, Polina Golland:
Stereo Matching with Transparency and Matting. Int. J. Comput. Vis. 32(1): 45-61 (1999) - [c3]Polina Golland, W. Eric L. Grimson, Ron Kikinis:
Statistical Shape Analysis Using Fixed Topology Skeletons: Corpus Callosum Study. IPMI 1999: 382-387 - 1998
- [c2]Richard Szeliski, Polina Golland:
Stereo Matching with Transparency and Matting. ICCV 1998: 517-526 - [c1]Polina Golland, Ron Kikinis, Christopher Umans, Michael Halle, Martha Elizabeth Shenton, Jens A. Richolt:
AnatomyBrowser: A Framework for Integration of Medical Information. MICCAI 1998: 720-731 - 1997
- [j2]Polina Golland, Alfred M. Bruckstein:
Motion from Color. Comput. Vis. Image Underst. 68(3): 346-362 (1997) - 1996
- [j1]Polina Golland, Alfred M. Bruckstein:
Why R.G.B.? Or How to Design Color Displays for Martians. CVGIP Graph. Model. Image Process. 58(5): 405-412 (1996)
Coauthor Index
S. Mazdak Abulnaga
aka: Sayed Mazdak Abulnaga
aka: Sayed Mazdak Abulnaga
Kayhan Batmanghelich
aka: Kayhan N. Batmanghelich
aka: Nematollah Kayhan Batmanghelich
aka: Nematollah Batmanghelich
aka: Kayhan N. Batmanghelich
aka: Nematollah Kayhan Batmanghelich
aka: Nematollah Batmanghelich
Adrian V. Dalca
aka: Adrian Vasile Dalca
aka: Adrian Vasile Dalca
Koenraad Van Leemput
aka: Koen Van Leemput
aka: Koen Van Leemput
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