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2020 – today
- 2024
[i14]Jesús M. Rodríguez-de-Vera, Imanol G. Estepa, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva:
Precision at Scale: Domain-Specific Datasets On-Demand. CoRR abs/2407.03463 (2024)- 2023
- [j3]Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li
, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze:
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84: 102680 (2023) - [c12]Imanol G. Estepa, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva:
All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction. ICCV 2023: 16197-16207 - [c11]Jesús M. Rodríguez-de-Vera, Pablo Villacorta, Imanol G. Estepa, Marc Bolaños, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva:
Dining on Details: LLM-Guided Expert Networks for Fine-Grained Food Recognition. MADiMa@MM 2023: 43-52 - [i13]Pablo Villacorta, Jesús M. Rodríguez-de-Vera, Marc Bolaños, Ignacio Sarasua, Bhalaji Nagarajan, Petia Radeva:
ELFIS: Expert Learning for Fine-grained Image Recognition Using Subsets. CoRR abs/2303.09269 (2023) - [i12]Imanol G. Estepa, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva:
All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction. CoRR abs/2303.09417 (2023) - 2022
- [c10]Anne-Marie Rickmann, Fabian Bongratz, Sebastian Pölsterl, Ignacio Sarasua, Christian Wachinger:
Joint Reconstruction and Parcellation of Cortical Surfaces. MLCN@MICCAI 2022: 3-12 - [c9]Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger:
CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis. MICCAI (1) 2022: 44-54 - [c8]Marla Narazani, Ignacio Sarasua, Sebastian Pölsterl, Aldana Lizarraga, Igor Yakushev, Christian Wachinger:
Is a PET All You Need? A Multi-modal Study for Alzheimer's Disease Using 3D CNNs. MICCAI (1) 2022: 66-76 - [i11]Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger:
CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis. CoRR abs/2207.02091 (2022) - [i10]Marla Narazani, Ignacio Sarasua, Sebastian Pölsterl, Aldana Lizarraga, Igor Yakushev, Christian Wachinger:
Is a PET all you need? A multi-modal study for Alzheimer's disease using 3D CNNs. CoRR abs/2207.02094 (2022) - [i9]Anne-Marie Rickmann, Fabian Bongratz, Sebastian Pölsterl, Ignacio Sarasua, Christian Wachinger:
Joint Reconstruction and Parcellation of Cortical Surfaces. CoRR abs/2210.01772 (2022) - 2021
- [j2]Benjamín Gutiérrez-Becker, Ignacio Sarasua, Christian Wachinger:
Discriminative and generative models for anatomical shape analysis on point clouds with deep neural networks. Medical Image Anal. 67: 101852 (2021) - [c7]Ignacio Sarasua, Jonwong Lee, Christian Wachinger:
Geometric Deep Learning on Anatomical Meshes for the Prediction of Alzheimer's Disease. ISBI 2021: 1356-1359 - [c6]Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger:
TransforMesh: A Transformer Network for Longitudinal Modeling of Anatomical Meshes. MLMI@MICCAI 2021: 209-218 - [i8]Ignacio Sarasua, Jonwong Lee, Christian Wachinger:
Geometric Deep Learning on Anatomical Meshes for the Prediction of Alzheimer's Disease. CoRR abs/2104.10047 (2021) - [i7]Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Stephan Heckers, Henkjan J. Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer Goli-Pernicka, Kawal S. Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Alexandra Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, BeomHee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso:
The Medical Segmentation Decathlon. CoRR abs/2106.05735 (2021) - [i6]Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger:
TransforMesh: A Transformer Network for Longitudinal modeling of Anatomical Meshes. CoRR abs/2109.00532 (2021) - 2020
- [j1]Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Christian Wachinger:
Recalibrating 3D ConvNets With Project & Excite. IEEE Trans. Medical Imaging 39(7): 2461-2471 (2020) - [c5]Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger:
Recalibration of Neural Networks for Point Cloud Analysis. 3DV 2020: 443-451 - [i5]Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Christian Wachinger:
Recalibrating 3D ConvNets with Project & Excite. CoRR abs/2002.10994 (2020) - [i4]Benjamín Gutiérrez-Becker, Ignacio Sarasua, Christian Wachinger:
Discriminative and Generative Models for Anatomical Shape Analysison Point Clouds with Deep Neural Networks. CoRR abs/2010.00820 (2020) - [i3]Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger:
Recalibration of Neural Networks for Point Cloud Analysis. CoRR abs/2011.12888 (2020)
2010 – 2019
- 2019
- [c4]Sebastian Pölsterl, Benjamín Gutiérrez-Becker, Ignacio Sarasua, Abhijit Guha Roy, Christian Wachinger:
Prediction of Fluid Intelligence from T1-Weighted Magnetic Resonance Images. ABCD-NP@MICCAI 2019: 35-46 - [c3]Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Nassir Navab, Christian Wachinger:
'Project & Excite' Modules for Segmentation of Volumetric Medical Scans. MICCAI (2) 2019: 39-47 - [c2]Sebastian Pölsterl, Benjamín Gutiérrez-Becker, Ignacio Sarasua, Abhijit Guha Roy, Christian Wachinger:
An AutoML Approach for the Prediction of Fluid Intelligence from MRI-Derived Features. ABCD-NP@MICCAI 2019: 99-107 - [c1]Sebastian Pölsterl, Ignacio Sarasua, Benjamín Gutiérrez-Becker, Christian Wachinger:
A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data. PKDD/ECML Workshops (1) 2019: 453-464 - [i2]Anne-Marie Rickmann, Abhijit Guha Roy, Ignacio Sarasua, Nassir Navab, Christian Wachinger:
'Project & Excite' Modules for Segmentation of Volumetric Medical Scans. CoRR abs/1906.04649 (2019) - [i1]Sebastian Pölsterl, Ignacio Sarasua, Benjamín Gutiérrez-Becker, Christian Wachinger:
A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data. CoRR abs/1909.03890 (2019)
Coauthor Index
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