Accepted papers

This is the list of all accepted papers. You can find more information about the accepted papers by visiting OpenReview. 

Statistics

In total, we have received a grand total of 31 submissions, out of which 18 have been accepted (58%) as oral presentations.

• 8 long presentations

• 10 short presentations

Congratulations to all authors!

Best Paper Award

• Title: CGXplain: Rule-Based Deep Neural Network Explanations Using Dual Linear Programs

Authors: Konstantin Hemker, Zohreh Shams, Mateja Jamnik

For proposing a flexible rule-based decompositional method to explain deep neural networks at high alignment and stability.

Best Paper Honorable Mention

• Title: Considerations for Distribution Shift Robustness in Health

Authors: Arno Blaas, Andrew Miller, Luca Zappella, Joern-Henrik Jacobsen, Christina Heinze-Deml

For providing a new insight on the situations where the covariates and target outcomes have a causal association other than spurious association.

• Title: Self-Supervised Predictive Coding with Multimodal Fusion for Patient Deterioration Prediction in Fine-grained Time Resolution

Authors: Kwanhyung Lee, John Won, Heejung Hyun, Sangchul Hahn, Edward Choi, Joohyung Lee

For proposing a novel hourly prediction method based on self-supervised predictive coding and multi-modal fusion.

Long presentation papers

• Do Tissue Source Sites leave identifiable Signatures in Whole Slide Images beyond staining? 

Muhammad Dawood, Piotr Keller, Fayyaz ul Amir Afsar Minhas

• Explaining Multiclass Classifiers with Categorical Values: A Case Study in Radiography 

Luca Franceschi, Cemre Zor, Muhammad Bilal Zafar, Gianluca Detommaso, Cedric Archambeau, Tamas Madl, Michele Donini, Matthias Seeger

• Considerations for Distribution Shift Robustness in Health 

• Arno Blaas, Andrew Miller, Luca Zappella, Joern-Henrik Jacobsen, Christina Heinze-Deml

• Privacy-preserving machine learning for healthcare: open challenges and future perspectives 

Alejandro Guerra-Manzanares, Leopoldo Julian Lechuga Lopez, Michail Maniatakos, Farah Shamout

• Self-Supervised Predictive Coding with Multimodal Fusion for Patient Deterioration Prediction in Fine-grained Time Resolution

Kwanhyung Lee, John Won, Heejung Hyun, Sangchul Hahn, Edward Choi, Joohyung Lee

• Safe Exploration in Dose Finding Clinical Trials with Heterogeneous Participants 

Isabel Chien, Javier Gonzalez Hernandez, Richard E Turner

• CGXplain: Rule-Based Deep Neural Network Explanations Using Dual Linear Programs 

Konstantin Hemker, Zohreh Shams, Mateja Jamnik

• ExBEHRT: Extended Transformer for Electronic Health Records

Maurice Rupp, Oriane Peter, Thirupathi Pattipaka

Short presentation papers

• Stasis: Reinforcement Learning Simulators for Human-Centric Real-World Environments 

Georgios Efstathiadis, Patrick Emedom-Nnamdi, Arinbjörn Kolbeinsson, Jukka-Pekka Onnela, Junwei Lu

• Cross-domain Microscopy Cell Counting by Disentangled Transfer Learning

Zuhui Wang

• Post-hoc Saliency Methods Fail to Capture Latent Feature Importance in Time Series Data 

Maresa Schröder, Alireza Zamanian, Narges Ahmidi

• Enhancing Healthcare Model Trustworthiness through Theoretically Guaranteed One-Hidden-Layer CNN Purification 

Hanxiao Lu, ZEYU HUANG, Ren Wang

• A Kernel Density Estimation based Quality Metric for Quality Assessment of Obstetric Ultrasound Video 

Jong Kwon, Jianbo Jiao, Alice Self, Alison Noble, Aris Papageorghiou

• Learn2Agree: Fitting with Multiple Annotators without Objective Ground Truth 

Chongyang Wang, Yuan Gao, Chenyou Fan, Junjie Hu, Tin Lun Lam, Nicholas Donald Lane, Nadia Berthouze

• XMI-ICU: Explainable Machine Learning Model for Pseudo-Dynamic Prediction of Mortality and Heart Attack in the ICU

Munib Mesinovic, Peter Watkinson, Tingting Zhu

• Conformal Prediction Masks: Visualizing Uncertainty in Medical Imaging

Gilad Kutiel, Regev Cohen, Michael Elad, Daniel Freedman, Ehud Rivlin

• Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition through the Lens of Robustness

Yanqi Cheng, Lihao Liu, Shujun Wang, Yueming Jin, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero

• GEOMETRY-BASED END-TO-END SEGMENTATION OF CORONARY ARTERY IN COMPUTED TOMOGRAPHY ANGIOGRAPH

Xiaoyu Yang, Lijian Xu, Simon Chun Ho Yu, Qing Xia, Hongsheng Li, Shaoting Zhang