Title
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries F. Jonske M. Kim Enrico Nasca J. Evers Johannes Haubold ... F. Nensa Michael Kamp C. Seibold Jan Egger Jens Kleesiek 150 1 0 17 Feb 2025
A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation Robin Camarasa D. Bos J. Hendrikse P. Nederkoorn D. Epidemiology D. Neurology Department of Computer Science UQCV 46 12 0 22 Sep 2021
A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation Richard Shaw Carole H. Sudre Sebastien Ourselin M. Jorge Cardoso H. Pemberton UQCV 79 5 0 06 Sep 2021
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification Ujjwal Baid S. Ghodasara S. Mohan Michel Bilello Evan Calabrese ... M. Weber A. Mahajan Bjoern Menze Adam Flanders Spyridon Bakas 131 631 0 05 Jul 2021
The Medical Segmentation Decathlon Michela Antonelli Annika Reinke Spyridon Bakas Keyvan Farahani AnnetteKopp-Schneider ... Zhanwei Xu Yefeng Zheng Amber L. Simpson Lena Maier-Hein M. Jorge Cardoso OOD 106 981 0 10 Jun 2021
The Federated Tumor Segmentation (FeTS) Challenge Sarthak Pati Ujjwal Baid M. Zenk Brandon Edwards Micah J. Sheller ... Lena Maier-Hein Jens Kleesiek Bjoern Menze Klaus Maier-Hein Spyridon Bakas FedML OOD 78 75 0 12 May 2021
Common Limitations of Image Processing Metrics: A Picture Story Annika Reinke M. Tizabi Carole H. Sudre Matthias Eisenmann Tim Radsch ... Gaël Varoquaux Manuel Wiesenfarth Ziv R. Yaniv Paul Jäger Lena Maier-Hein 58 145 0 12 Apr 2021
HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images Saverio Vadacchino Raghav Mehta N. Sepahvand Brennan Nichyporuk James J. Clark Tal Arbel MedIm 44 14 0 30 Mar 2021
MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures Laura Mora Ballestar Verónica Vilaplana 41 36 0 30 Dec 2020
Uncertainty-driven refinement of tumor-core segmentation using 3D-to-2D networks with label uncertainty Richard McKinley M. Rebsamen Katrin Daetwyler Raphael Meier Piotr Radojewski Roland Wiest 3DV 38 27 0 11 Dec 2020
Multi-Decoder Networks with Multi-Denoising Inputs for Tumor Segmentation Minh H. Vu T. Nyholm Tommy Löfstedt MedIm 36 18 0 16 Nov 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 276 1,911 0 12 Nov 2020
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge Yue Sun Kun Gao Zhengwang Wu Zhihao Lei Ying Wei ... Weili Lin V. Jewells Gang Li Dinggang Shen Liwen Wang 53 70 0 04 Jul 2020
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty Miguel A. B. Monteiro Loic Le Folgoc Daniel Coelho De Castro Nick Pawlowski Bernardo Marques Konstantinos Kamnitsas Mark van der Wilk Ben Glocker UQCV BDL 45 114 0 10 Jun 2020
Uncertainty Evaluation Metric for Brain Tumour Segmentation Raghav Mehta Angelos Filos Y. Gal Tal Arbel UQCV 56 16 0 28 May 2020
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning Yeming Wen Dustin Tran Jimmy Ba OOD FedML UQCV 156 491 0 17 Feb 2020
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning Arsenii Ashukha Alexander Lyzhov Dmitry Molchanov Dmitry Vetrov UQCV FedML 77 319 0 15 Feb 2020
Robust Semantic Segmentation of Brain Tumor Regions from 3D MRIs Andriy Myronenko Ali Hatamizadeh 74 47 0 06 Jan 2020
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge N. Heller Fabian Isensee Klaus H. Maier-Hein X. Hou Chunmei Xie ... S. Peterson A. Kalapara N. Sathianathen Nikolaos Papanikolopoulos C. Weight 57 487 0 02 Dec 2019
Multi-Resolution 3D CNN for MRI Brain Tumor Segmentation and Survival Prediction Mehdi Amian Mohammadreza Soltaninejad 50 33 0 19 Nov 2019
$DR$\vert$GRADUATE: uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images$ DR $\vert$ GRADUATE: uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images Teresa Araújo Guilherme Aresta Luís Mendonça S. Penas Carolina Maia Â. Carneiro A. Mendonça A. Campilho MedIm 361 111 0 25 Oct 2019
TuNet: End-to-end Hierarchical Brain Tumor Segmentation using Cascaded Networks Minh H. Vu T. Nyholm Tommy Löfstedt 44 32 0 11 Oct 2019
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs J. Orlando Huazhu Fu J. Barbosa-Breda K. V. Keer Deepti R. Bathula ... Fei Li Xiulan Zhang Yanwu Xu Xiulan Zhang Hrvoje Bogunović 104 610 0 08 Oct 2019
DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images J. Doshi G. Erus Mohamad Habes Christos Davatzikos MedIm 32 27 0 03 Jul 2019
Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment Florin-Cristian Ghesu Bogdan Georgescu Eli Gibson Sebastian Gündel Mannudeep K. Kalra Ramandeep Singh S. Digumarthy Sasa Grbic Dorin Comaniciu UQCV 28 46 0 18 Jun 2019
PHiSeg: Capturing Uncertainty in Medical Image Segmentation Christian F. Baumgartner K. Tezcan K. Chaitanya A. Hötker Urs J. Muehlematter K. Schawkat Anton S. Becker O. Donati E. Konukoglu UQCV 51 203 0 07 Jun 2019
The Probabilistic Object Detection Challenge John Skinner David Hall Haoyang Zhang Feras Dayoub Niko Sünderhauf AAML 25 9 0 19 Mar 2019
A large annotated medical image dataset for the development and evaluation of segmentation algorithms Amber L. Simpson Michela Antonelli Spyridon Bakas Michel Bilello Keyvan Farahani ... M. McHugo S. Napel Eugene Vorontsov Lena Maier-Hein M. Jorge Cardoso 108 859 0 25 Feb 2019
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC) Noel Codella V. Rotemberg P. Tschandl M. E. Celebi Stephen W. Dusza ... Aadi Kalloo Konstantinos Liopyris Michael Marchetti Harald Kittler Allan Halpern 99 1,184 0 09 Feb 2019
Evaluating Bayesian Deep Learning Methods for Semantic Segmentation Jishnu Mukhoti Y. Gal UQCV BDL 68 222 0 30 Nov 2018
Probabilistic Object Detection: Definition and Evaluation David Hall Feras Dayoub John Skinner Haoyang Zhang Dimity Miller Peter Corke G. Carneiro A. Angelova Niko Sünderhauf UQCV 78 110 0 27 Nov 2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge Spyridon Bakas M. Reyes Andras Jakab Stefan Bauer Markus Rempfler ... Jayashree Kalpathy-Cramer Keyvan Farahani Christos Davatzikos Koen van Leemput Bjoern Menze 130 1,631 0 05 Nov 2018
No New-Net Fabian Isensee Philipp Kickingereder Wolfgang Wick Martin Bendszus Klaus H. Maier-Hein SSeg 85 400 0 27 Sep 2018
Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation T. Nair Doina Precup Douglas L. Arnold Tal Arbel UQCV 58 445 0 03 Aug 2018
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition Chun-Fu Chen Quanfu Fan Neil Rohit Mallinar Tom Sercu Rogerio Feris 37 96 0 10 Jul 2018
Confounding variables can degrade generalization performance of radiological deep learning models J. Zech Marcus A. Badgeley Manway Liu A. Costa J. Titano Eric K. Oermann OOD 83 1,173 0 02 Jul 2018
A Probabilistic U-Net for Segmentation of Ambiguous Images Simon A. A. Kohl Bernardino Romera-Paredes Clemens Meyer J. Fauw J. Ledsam Klaus H. Maier-Hein S. M. Ali Eslami Danilo Jimenez Rezende Olaf Ronneberger UQCV SSeg 76 572 0 13 Jun 2018
Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration Adrian Dalca Guha Balakrishnan John Guttag M. Sabuncu DiffM 73 382 0 11 May 2018
Understanding Measures of Uncertainty for Adversarial Example Detection Lewis Smith Y. Gal UQCV 86 363 0 22 Mar 2018
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 401 26,465 0 05 Sep 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 287 5,825 0 14 Jun 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 346 4,700 0 15 Mar 2017
Deep Bayesian Active Learning with Image Data Y. Gal Riashat Islam Zoubin Ghahramani BDL UQCV 68 1,732 0 08 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 774 5,806 0 05 Dec 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 731 36,781 0 25 Aug 2016
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation Özgün Çiçek Ahmed Abdulkadir S. Lienkamp Thomas Brox Olaf Ronneberger 3DV 3DPC SSeg 3DH 148 6,523 0 21 Jun 2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation Fausto Milletari Nassir Navab Seyed-Ahmad Ahmadi 204 8,675 0 15 Jun 2016
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation Konstantinos Kamnitsas C. Ledig Virginia Newcombe Joanna P. Simpson A. D. Kane David Menon Daniel Rueckert Ben Glocker MedIm 3DV 130 3,056 0 18 Mar 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 250 4,787 0 04 Jan 2016
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding Alex Kendall Vijay Badrinarayanan R. Cipolla UQCV BDL 83 1,064 0 09 Nov 2015