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MIDL 2023

112 papers

Know Your Space: Inlier and Outlier Construction for Calibrating Medical OOD Detectors

Vivek Narayanaswamy, Yamen Mubarka, Rushil Anirudh, Deepta Rajan, Andreas Spanias

Self-Supervised CSF Inpainting for Improved Accuracy Validation of Cortical Surface Analyses

Jiacheng Wang, Kathleen Larson, Ipek Oguz

Simple and Efficient Confidence Score for Grading Whole Slide Images

Melanie Lubrano, Yaëlle Bellahsen Harrar, Rutger RH Fick, Cécile Badoual, Thomas Walter

DRIMET: Deep Registration-based 3D Incompressible Motion Estimation in Tagged-MRI with Application to the Tongue

Zhangxing Bian, Fangxu Xing, Jinglun Yu, Muhan Shao, Yihao Liu

SuperMask: Generating High-resolution object masks from multi-view, unaligned low-resolution MRIs

Hanxue Gu, Hongyu He, Roy Colglazier, Jordan Axelrod, Robert French

Decoding natural image stimuli from fMRI data with a surface-based convolutional network

Zijin Gu, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu

Reproducibility of the Methods in Medical Imaging with Deep Learning.

Attila Simkó, Anders Garpebring, Joakim Jonsson, Tufve Nyholm, Tommy Löfstedt

Unsupervised Stain Decomposition via Inversion Regulation for Multiplex Immunohistochemistry Images

Shahira Abousamra, Danielle Fassler, Jiachen Yao, Rajarsi R. Gupta, Tahsin Kurc

Vision-Language Modelling For Radiological Imaging and Reports In The Low Data Regime

Rhydian Windsor, Amir Jamaludin, Timor Kadir, Andrew Zisserman

Generalizing Unsupervised Anomaly Detection: Towards Unbiased Pathology Screening

Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A Schnabel

Joint Breast Neoplasm Detection and Subtyping using Multi-Resolution Network Trained on Large-Scale H&E Whole Slide Images with Weak Labels

Adam Casson, Siqi Liu, Ran A Godrich, Hamed Aghdam, Brandon Rothrock

Sparse Activations for Interpretable Disease Grading

Kerol R. Djoumessi Donteu, Indu Ilanchezian, Laura Kühlewein, Hanna Faber, Christian F. Baumgartner