• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 22 matches

• 2023
• 
  Jadie Adams, Shireen Y. Elhabian:
  Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation. UNSURE@MICCAI 2023: 53-63
• 
  Harry Anthony, Konstantinos Kamnitsas:
  On the Use of Mahalanobis Distance for Out-of-distribution Detection with Neural Networks for Medical Imaging. UNSURE@MICCAI 2023: 136-146
• 
  Bogdan Bercean, Alexandru Buburuzan, Andreea Birhala, Cristian Avramescu, Andrei Tenescu, Marius Marcu:
  Breaking Down Covariate Shift on Pneumothorax Chest X-Ray Classification. UNSURE@MICCAI 2023: 157-166
• 
  Leonhard F. Feiner, Martin J. Menten, Kerstin Hammernik, Paul Hager, Wenqi Huang, Daniel Rueckert, Rickmer F. Braren, Georgios Kaissis:
  Propagation and Attribution of Uncertainty in Medical Imaging Pipelines. UNSURE@MICCAI 2023: 1-11
• 
  Paul Fischer, Thomas Küstner, Christian F. Baumgartner:
  Uncertainty Estimation and Propagation in Accelerated MRI Reconstruction. UNSURE@MICCAI 2023: 84-94
• 
  Daria Frolova, Aleksandr Katrutsa, Ivan V. Oseledets:
  Feature-Based Pipeline for Improving Unsupervised Anomaly Segmentation on Medical Images. UNSURE@MICCAI 2023: 115-125
• 
  Mobarakol Islam, Zeju Li, Ben Glocker:
  Robustness Stress Testing in Medical Image Classification. UNSURE@MICCAI 2023: 167-176
• 
  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
• 
  Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat:
  Multi-layer Aggregation as a Key to Feature-Based OOD Detection. UNSURE@MICCAI 2023: 104-114
• 
  Hendrik Alexander Mehrtens, Tabea-Clara Bucher, Titus J. Brinker:
  Pitfalls of Conformal Predictions for Medical Image Classification. UNSURE@MICCAI 2023: 198-207
• 
  Johanna P. Müller, Matthew Baugh, Jeremy Tan, Mischa Dombrowski, Bernhard Kainz:
  Confidence-Aware and Self-supervised Image Anomaly Localisation. UNSURE@MICCAI 2023: 177-187
• 
  Jacob 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:
  Examining the Effects of Slice Thickness on the Reproducibility of CT Radiomics for Patients with Colorectal Liver Metastases. UNSURE@MICCAI 2023: 42-52
• 
  Inés Gonzalez Pepe, Vinuyan Sivakolunthu, Hae Lang Park, Yohan Chatelain, Tristan Glatard:
  Numerical Uncertainty of Convolutional Neural Networks Inference for Structural Brain MRI Analysis. UNSURE@MICCAI 2023: 64-73
• 
  Ben Philps, Maria del C. Valdés Hernández, Miguel Bernabeu Llinares:
  Proper Scoring Loss Functions Are Simple and Effective for Uncertainty Quantification of White Matter Hyperintensities. UNSURE@MICCAI 2023: 208-218
• 
  Parinaz Roshanzamir, Hassan Rivaz, Joshua Ahn, Hamza Mirza, Neda Naghdi, Meagan Anstruther, Michele C. Battié, Maryse Fortin, Yiming Xiao:
  How Inter-rater Variability Relates to Aleatoric and Epistemic Uncertainty: A Case Study with Deep Learning-Based Paraspinal Muscle Segmentation. UNSURE@MICCAI 2023: 74-83
• 
  Lawrence Schobs, Thomas M. McDonald, Haiping Lu:
  Bayesian Uncertainty Estimation in Landmark Localization Using Convolutional Gaussian Processes. UNSURE@MICCAI 2023: 22-31
• 
  Elina Thibeau-Sutre, Dieuwertje Alblas, Sophie Buurman, Christoph Brune, Jelmer M. Wolterink:
  Uncertainty-Based Quality Assurance of Carotid Artery Wall Segmentation in Black-Blood MRI. UNSURE@MICCAI 2023: 95-103
• 
  Anton Vasiliuk, Daria Frolova, Mikhail Belyaev, Boris Shirokikh:
  Redesigning Out-of-Distribution Detection on 3D Medical Images. UNSURE@MICCAI 2023: 126-135
• 
  Shishuai Wang, Johan Nuyts, Marina Filipovic:
  Uncertainty Estimation in Liver Tumor Segmentation Using the Posterior Bootstrap. UNSURE@MICCAI 2023: 188-197
• 
  McKell Woodland, Nihil Patel, Mais Al Taie, Joshua P. Yung, Tucker J. Netherton, Ankit B. Patel, Kristy K. Brock:
  Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation. UNSURE@MICCAI 2023: 147-156
• 
  Yizhe Zhang, Shuo Wang, Yejia Zhang, Danny Z. Chen:
  RR-CP: Reliable-Region-Based Conformal Prediction for Trustworthy Medical Image Classification. UNSURE@MICCAI 2023: 12-21
• 
  Carole H. Sudre, Christian F. Baumgartner, Adrian V. Dalca, Raghav Mehta, Chen Qin, William M. Wells:
  Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - 5th International Workshop, UNSURE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings. Lecture Notes in Computer Science 14291, Springer 2023, ISBN 978-3-031-44335-0 [contents]