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ORCIDSenan Doyle
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2020 – today
- 2024
[j3]Benjamin Lambert, Florence Forbes, Senan Doyle, Harmonie Dehaene, Michel Dojat
:
Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis. Artif. Intell. Medicine 150: 102830 (2024)- [c11]Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat:
Robust Conformal Volume Estimation in 3D Medical Images. MICCAI (10) 2024: 633-643 - [i8]Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat:
Robust Conformal Volume Estimation in 3D Medical Images. CoRR abs/2407.19938 (2024) - 2023
- [c10]Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat:
TriadNet: Sampling-Free Predictive Intervals for Lesional Volume in 3D Brain MR Images. UNSURE@MICCAI 2023: 32-41 - [c9]Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat:
Multi-layer Aggregation as a Key to Feature-Based OOD Detection. UNSURE@MICCAI 2023: 104-114 - [c8]Benjamin Lambert, Pauline Roca, Florence Forbes, Senan Doyle, Michel Dojat:
Anisotropic Hybrid Networks for Liver Tumor Segmentation with Uncertainty Quantification. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 347-356 - [i7]Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat:
TriadNet: Sampling-free predictive intervals for lesional volume in 3D brain MR images. CoRR abs/2307.15638 (2023) - [i6]Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat:
Multi-layer Aggregation as a key to feature-based OOD detection. CoRR abs/2307.15647 (2023) - [i5]Benjamin Lambert, Pauline Roca, Florence Forbes, Senan Doyle, Michel Dojat:
Anisotropic Hybrid Networks for liver tumor segmentation with uncertainty quantification. CoRR abs/2308.11969 (2023) - 2022
- [c7]Benjamin Lambert, Florence Forbes, Senan Doyle, Alan Tucholka, Michel Dojat:
Beyond Voxel Prediction Uncertainty: Identifying Brain Lesions You Can Trust. iMIMIC@MICCAI 2022: 61-70 - [i4]Benjamin Lambert, Florence Forbes, Senan Doyle, Alan Tucholka, Michel Dojat:
Beyond Voxel Prediction Uncertainty: Identifying brain lesions you can trust. CoRR abs/2209.10877 (2022) - [i3]Benjamin Lambert, Florence Forbes, Alan Tucholka, Senan Doyle, Harmonie Dehaene, Michel Dojat:
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis. CoRR abs/2210.03736 (2022) - [i2]Benjamin Lambert, Florence Forbes, Senan Doyle, Alan Tucholka, Michel Dojat:
Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation. CoRR abs/2211.05421 (2022) - 2021
- [c6]Benjamin Lambert, Maxime Louis, Senan Doyle, Florence Forbes, Michel Dojat, Alan Tucholka:
Leveraging 3d Information In Unsupervised Brain Mri Segmentation. ISBI 2021: 187-190 - [i1]Benjamin Lambert, Maxime Louis, Senan Doyle, Florence Forbes, Michel Dojat, Alan Tucholka:
Leveraging 3D Information in Unsupervised Brain MRI Segmentation. CoRR abs/2101.10674 (2021)
2010 – 2019
- 2017
- [c5]Christophe Maggia, Thomas Mistral, Senan Doyle, Florence Forbes, Alexandre Krainik, Damien Galanaud, Emmanuelle Schmitt, Stéphane Kremer, Irène Troprès, Emmanuel Luc Barbier, Jean-François Payen, Michel Dojat:
Traumatic Brain Lesion Quantification Based on Mean Diffusivity Changes. BrainLes@MICCAI 2017: 88-99 - [c4]Senan Doyle, Florence Forbes, Assia Jaillard, Olivier Heck, Olivier Detante, Michel Dojat:
Sub-acute and Chronic Ischemic Stroke Lesion MRI Segmentation. BrainLes@MICCAI 2017: 111-122 - 2015
- [j2]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) - [c3]Christophe Maggia, Senan Doyle, Florence Forbes, Olivier Heck, Irène Troprès, Corentin Berthet, Yann Teyssier, Lionel Velly, Jean-François Payen, Michel Dojat:
Assessment of Tissue Injury in Severe Brain Trauma. Brainles@MICCAI 2015: 57-68 - 2013
- [j1]M. Charras-Garrido, Lamiae Azizi, Florence Forbes, Senan Doyle, Nathalie Peyrard, D. Abrial:
On the difficulty to delimit disease risk hot spots. Int. J. Appl. Earth Obs. Geoinformation 22: 99-105 (2013) - 2010
- [c2]Florence Forbes, Senan Doyle, Daniel García-Lorenzo, Christian Barillot, Michel Dojat:
Adaptive weighted fusion of multiple MR sequences for brain lesion segmentation. ISBI 2010: 69-72 - [c1]Florence Forbes, Senan Doyle, Daniel García-Lorenzo, Christian Barillot, Michel Dojat:
A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation. AISTATS 2010: 225-232
Coauthor Index
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