Senan Doyle - RankMe

22 papers A 1Journal 11Unranked 10

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Robust Conformal Volume Estimation in 3D Medical Images. MICCAI (10) Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat
2024	J	`jnl`	Robust Conformal Volume Estimation in 3D Medical Images. CoRR Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat
2024	J	`jnl`	Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis. Artif. Intell. Medicine Benjamin Lambert, Florence Forbes, Senan Doyle, Harmonie Dehaene, Michel Dojat
2023	—	`conf`	Anisotropic Hybrid Networks for Liver Tumor Segmentation with Uncertainty Quantification. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI Benjamin Lambert, Pauline Roca, Florence Forbes, Senan Doyle, Michel Dojat
2023	J	`jnl`	Anisotropic Hybrid Networks for liver tumor segmentation with uncertainty quantification. CoRR Benjamin Lambert, Pauline Roca, Florence Forbes, Senan Doyle, Michel Dojat
2023	—	`conf`	Multi-layer Aggregation as a Key to Feature-Based OOD Detection. UNSURE@MICCAI Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat
2023	J	`jnl`	Multi-layer Aggregation as a key to feature-based OOD detection. CoRR Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat
2023	—	`conf`	TriadNet: Sampling-Free Predictive Intervals for Lesional Volume in 3D Brain MR Images. UNSURE@MICCAI Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat
2023	J	`jnl`	TriadNet: Sampling-free predictive intervals for lesional volume in 3D brain MR images. CoRR Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat
2022	—	`conf`	Beyond Voxel Prediction Uncertainty: Identifying Brain Lesions You Can Trust. iMIMIC@MICCAI Benjamin Lambert, Florence Forbes, Senan Doyle, Alan Tucholka, Michel Dojat
2022	J	`jnl`	Beyond Voxel Prediction Uncertainty: Identifying brain lesions you can trust. CoRR Benjamin Lambert, Florence Forbes, Senan Doyle, Alan Tucholka, Michel Dojat
2022	J	`jnl`	Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation. CoRR Benjamin Lambert, Florence Forbes, Senan Doyle, Alan Tucholka, Michel Dojat
2022	J	`jnl`	Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis. CoRR Benjamin Lambert, Florence Forbes, Alan Tucholka, Senan Doyle, Harmonie Dehaene, Michel Dojat
2021	J	`jnl`	Leveraging 3D Information in Unsupervised Brain MRI Segmentation. CoRR Benjamin Lambert, Maxime Louis, Senan Doyle, Florence Forbes, Michel Dojat, Alan Tucholka
2021	—	`conf`	Leveraging 3d Information In Unsupervised Brain Mri Segmentation. ISBI Benjamin Lambert, Maxime Louis, Senan Doyle, Florence Forbes, Michel Dojat, Alan Tucholka
2017	—	`conf`	Sub-acute and Chronic Ischemic Stroke Lesion MRI Segmentation. BrainLes@MICCAI Senan Doyle, Florence Forbes, Assia Jaillard, Olivier Heck, Olivier Detante, Michel Dojat
2017	—	`conf`	Traumatic Brain Lesion Quantification Based on Mean Diffusivity Changes. BrainLes@MICCAI 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
2015	—	`conf`	Assessment of Tissue Injury in Severe Brain Trauma. Brainles@MICCAI Christophe Maggia, Senan Doyle, Florence Forbes, Olivier Heck, Irène Troprès, Corentin Berthet, Yann Teyssier, Lionel Velly, Jean-François Payen, Michel Dojat
2015	J	`jnl`	The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS). IEEE Trans. Medical Imaging 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
2013	J	`jnl`	On the difficulty to delimit disease risk hot spots. Int. J. Appl. Earth Obs. Geoinformation M. Charras-Garrido, Lamiae Azizi, Florence Forbes, Senan Doyle, Nathalie Peyrard, D. Abrial
2010	A	`conf`	A Weighted Multi-Sequence Markov Model For Brain Lesion Segmentation. AISTATS Florence Forbes, Senan Doyle, Daniel García-Lorenzo, Christian Barillot, Michel Dojat
2010	—	`conf`	Adaptive weighted fusion of multiple MR sequences for brain lesion segmentation. ISBI Florence Forbes, Senan Doyle, Daniel García-Lorenzo, Christian Barillot, Michel Dojat