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UNSURE@MICCAI
2023
2023
2023
Keyphrases
Publications
2023
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)
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)
Lawrence Schobs
,
Thomas M. McDonald
,
Haiping Lu
Bayesian Uncertainty Estimation in Landmark Localization Using Convolutional Gaussian Processes.
UNSURE@MICCAI
(2023)
Shishuai Wang
,
Johan Nuyts
,
Marina Filipovic
Uncertainty Estimation in Liver Tumor Segmentation Using the Posterior Bootstrap.
UNSURE@MICCAI
(2023)
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)
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)
Johanna P. Müller
,
Matthew Baugh
,
Jeremy Tan
,
Mischa Dombrowski
,
Bernhard Kainz
Confidence-Aware and Self-supervised Image Anomaly Localisation.
UNSURE@MICCAI
(2023)
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)
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)
Jadie Adams
,
Shireen Y. Elhabian
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation.
UNSURE@MICCAI
(2023)
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)
Hendrik Alexander Mehrtens
,
Tabea-Clara Bucher
,
Titus J. Brinker
Pitfalls of Conformal Predictions for Medical Image Classification.
UNSURE@MICCAI
(2023)
Daria Frolova
,
Aleksandr Katrutsa
,
Ivan V. Oseledets
Feature-Based Pipeline for Improving Unsupervised Anomaly Segmentation on Medical Images.
UNSURE@MICCAI
(2023)
Anton Vasiliuk
,
Daria Frolova
,
Mikhail Belyaev
,
Boris Shirokikh
Redesigning Out-of-Distribution Detection on 3D Medical Images.
UNSURE@MICCAI
(2023)
Mobarakol Islam
,
Zeju Li
,
Ben Glocker
Robustness Stress Testing in Medical Image Classification.
UNSURE@MICCAI
(2023)
Harry Anthony
,
Konstantinos Kamnitsas
On the Use of Mahalanobis Distance for Out-of-distribution Detection with Neural Networks for Medical Imaging.
UNSURE@MICCAI
(2023)
Benjamin Lambert
,
Florence Forbes
,
Senan Doyle
,
Michel Dojat
TriadNet: Sampling-Free Predictive Intervals for Lesional Volume in 3D Brain MR Images.
UNSURE@MICCAI
(2023)
Paul Fischer
,
K. Thomas
,
Christian F. Baumgartner
Uncertainty Estimation and Propagation in Accelerated MRI Reconstruction.
UNSURE@MICCAI
(2023)
Yizhe Zhang
,
Shuo Wang
,
Yejia Zhang
,
Danny Z. Chen
RR-CP: Reliable-Region-Based Conformal Prediction for Trustworthy Medical Image Classification.
UNSURE@MICCAI
(2023)
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)
Benjamin Lambert
,
Florence Forbes
,
Senan Doyle
,
Michel Dojat
Multi-layer Aggregation as a Key to Feature-Based OOD Detection.
UNSURE@MICCAI
(2023)
volume 14291, 2023
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
UNSURE@MICCAI
14291 (2023)
2022
Cheng Ouyang
,
Shuo Wang
,
Chen Chen
,
Zeju Li
,
Wenjia Bai
,
Bernhard Kainz
,
Daniel Rueckert
Improved Post-hoc Probability Calibration for Out-of-Domain MRI Segmentation.
UNSURE@MICCAI
(2022)
Luke Whitbread
,
Mark Jenkinson
Uncertainty Categories in Medical Image Segmentation: A Study of Source-Related Diversity.
UNSURE@MICCAI
(2022)
Gangin Park
,
Chunsan Hong
,
Bohyung Kim
,
Won Hwa Kim
What Do Untargeted Adversarial Examples Reveal in Medical Image Segmentation?
UNSURE@MICCAI
(2022)
Ishaan Bhat
,
Josien P. W. Pluim
,
Hugo J. Kuijf
Generalized Probabilistic U-Net for Medical Image Segementation.
UNSURE@MICCAI
(2022)
Dimitri Hamzaoui
,
Sarah Montagne
,
Raphaële Renard-Penna
,
Nicholas Ayache
,
Hervé Delingette
MOrphologically-Aware Jaccard-Based ITerative Optimization (MOJITO) for Consensus Segmentation.
UNSURE@MICCAI
(2022)
Hariharan Ravishankar
,
Rohan Patil
,
Deepa Anand
,
Vanika Singhal
,
Utkarsh Agrawal
,
Rahul Venkataramani
,
Prasad Sudhakar
Stochastic Weight Perturbations Along the Hessian: A Plug-and-Play Method to Compute Uncertainty.
UNSURE@MICCAI
(2022)
Katarína Tóthová
,
Lubor Ladicky
,
Daniel Thul
,
Marc Pollefeys
,
Ender Konukoglu
Quantification of Predictive Uncertainty via Inference-Time Sampling.
UNSURE@MICCAI
(2022)
Parinaz Roshanzamir
,
Hassan Rivaz
,
Joshua Ahn
,
Hamza Mirza
,
Neda Naghdi
,
Meagan Anstruther
,
Michele C. Battié
,
Maryse Fortin
,
Yiming Xiao
Joint Paraspinal Muscle Segmentation and Inter-rater Labeling Variability Prediction with Multi-task TransUNet.
UNSURE@MICCAI
(2022)
Jacob Carse
,
Andres Alvarez Olmo
,
Stephen J. McKenna
Calibration of Deep Medical Image Classifiers: An Empirical Comparison Using Dermatology and Histopathology Datasets.
UNSURE@MICCAI
(2022)
Martin Van Waerebeke
,
Gregory A. Lodygensky
,
Jose Dolz
On the Pitfalls of Entropy-Based Uncertainty for Multi-class Semi-supervised Segmentation.
UNSURE@MICCAI
(2022)
Prerak Mody
,
Nicolas F. Chaves-de-Plaza
,
Klaus Hildebrandt
,
Marius Staring
Improving Error Detection in Deep Learning Based Radiotherapy Autocontouring Using Bayesian Uncertainty.
UNSURE@MICCAI
(2022)
Raghav Mehta
,
Changjian Shui
,
Brennan Nichyporuk
,
Tal Arbel
Information Gain Sampling for Active Learning in Medical Image Classification.
UNSURE@MICCAI
(2022)
Matthew Baugh
,
Jeremy Tan
,
Athanasios Vlontzos
,
Johanna P. Müller
,
Bernhard Kainz
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods.
UNSURE@MICCAI
(2022)
volume 13563, 2022
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - 4th International Workshop, UNSURE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings
UNSURE@MICCAI
13563 (2022)