Abstract is missing.
- Propagation and Attribution of Uncertainty in Medical Imaging PipelinesLeonhard F. Feiner, Martin J. Menten, Kerstin Hammernik, Paul Hager, Wenqi Huang, Daniel Rueckert, Rickmer F. Braren, Georgios Kaissis. 1-11 [doi]
- RR-CP: Reliable-Region-Based Conformal Prediction for Trustworthy Medical Image ClassificationYizhe Zhang 0001, Shuo Wang, Yejia Zhang, Danny Z. Chen. 12-21 [doi]
- Bayesian Uncertainty Estimation in Landmark Localization Using Convolutional Gaussian ProcessesLawrence Schobs, Thomas M. McDonald, Haiping Lu. 22-31 [doi]
- TriadNet: Sampling-Free Predictive Intervals for Lesional Volume in 3D Brain MR ImagesBenjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat. 32-41 [doi]
- Examining the Effects of Slice Thickness on the Reproducibility of CT Radiomics for Patients with Colorectal Liver MetastasesJacob J. Peoples, Mohammad Hamghalam, Imani James, Maida Wasim, Natalie Gangai, Hyunseon Christine Kang, Xiujiang John Rong, Yun Shin Chun, Richard K. G. Do, Amber L. Simpson. 42-52 [doi]
- Benchmarking Scalable Epistemic Uncertainty Quantification in Organ SegmentationJadie Adams, Shireen Y. Elhabian. 53-63 [doi]
- Numerical Uncertainty of Convolutional Neural Networks Inference for Structural Brain MRI AnalysisInés Gonzalez Pepe, Vinuyan Sivakolunthu, Hae Lang Park, Yohan Chatelain, Tristan Glatard. 64-73 [doi]
- How Inter-rater Variability Relates to Aleatoric and Epistemic Uncertainty: A Case Study with Deep Learning-Based Paraspinal Muscle SegmentationParinaz Roshanzamir, Hassan Rivaz, Joshua Ahn, Hamza Mirza, Neda Naghdi, Meagan Anstruther, Michele C. Battié, Maryse Fortin, Yiming Xiao. 74-83 [doi]
- Uncertainty Estimation and Propagation in Accelerated MRI ReconstructionPaul Fischer, K. Thomas, Christian F. Baumgartner. 84-94 [doi]
- Uncertainty-Based Quality Assurance of Carotid Artery Wall Segmentation in Black-Blood MRIElina Thibeau-Sutre, Dieuwertje Alblas, Sophie Buurman, Christoph Brune, Jelmer M. Wolterink. 95-103 [doi]
- Multi-layer Aggregation as a Key to Feature-Based OOD DetectionBenjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat. 104-114 [doi]
- Feature-Based Pipeline for Improving Unsupervised Anomaly Segmentation on Medical ImagesDaria Frolova, Aleksandr Katrutsa, Ivan V. Oseledets. 115-125 [doi]
- Redesigning Out-of-Distribution Detection on 3D Medical ImagesAnton Vasiliuk, Daria Frolova, Mikhail Belyaev, Boris Shirokikh. 126-135 [doi]
- On the Use of Mahalanobis Distance for Out-of-distribution Detection with Neural Networks for Medical ImagingHarry Anthony, Konstantinos Kamnitsas. 136-146 [doi]
- Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image SegmentationMcKell Woodland, Nihil Patel, Mais Al Taie, Joshua P. Yung, Tucker J. Netherton, Ankit B. Patel, Kristy K. Brock. 147-156 [doi]
- Breaking Down Covariate Shift on Pneumothorax Chest X-Ray ClassificationBogdan Bercean, Alexandru Buburuzan, Andreea Birhala, Cristian Avramescu, Andrei Tenescu, Marius Marcu. 157-166 [doi]
- Robustness Stress Testing in Medical Image ClassificationMobarakol Islam, Zeju Li, Ben Glocker. 167-176 [doi]
- Confidence-Aware and Self-supervised Image Anomaly LocalisationJohanna P. Müller, Matthew Baugh, Jeremy Tan, Mischa Dombrowski, Bernhard Kainz. 177-187 [doi]
- Uncertainty Estimation in Liver Tumor Segmentation Using the Posterior BootstrapShishuai Wang, Johan Nuyts, Marina Filipovic. 188-197 [doi]
- Pitfalls of Conformal Predictions for Medical Image ClassificationHendrik Alexander Mehrtens, Tabea-Clara Bucher, Titus J. Brinker. 198-207 [doi]
- Proper Scoring Loss Functions Are Simple and Effective for Uncertainty Quantification of White Matter HyperintensitiesBen Philps, Maria del C. Valdés Hernández, Miguel Bernabeu Llinares. 208-218 [doi]