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ORCIDTML4H 2023: Virtual Event
- Hao Chen
, Luyang Luo:
Trustworthy Machine Learning for Healthcare - First International Workshop, TML4H 2023, Virtual Event, May 4, 2023, Proceedings. Lecture Notes in Computer Science 13932, Springer 2023, ISBN 978-3-031-39538-3 - Piotr Keller, Muhammad Dawood, Fayyaz ul Amir Afsar Minhas:
Do Tissue Source Sites Leave Identifiable Signatures in Whole Slide Images Beyond Staining? 1-10 - Luca Franceschi, Cemre Zor, Muhammad Bilal Zafar, Gianluca Detommaso, Cédric Archambeau, Tamas Madl, Michele Donini, Matthias W. Seeger:
Explaining Multiclass Classifiers with Categorical Values: A Case Study in Radiography. 11-24 - Alejandro Guerra-Manzanares, L. Julian Lechuga Lopez, Michail Maniatakos, Farah E. Shamout:
Privacy-Preserving Machine Learning for Healthcare: Open Challenges and Future Perspectives. 25-40 - Kwanhyung Lee, John Won, Heejung Hyun, Sangchul Hahn, Edward Choi, Joohyung Lee:
Self-supervised Predictive Coding with Multimodal Fusion for Patient Deterioration Prediction in Fine-Grained Time Resolution. 41-50 - Isabel Chien, Javier González Hernández, Richard E. Turner:
Safe Exploration in Dose Finding Clinical Trials with Heterogeneous Participants. 51-59 - Konstantin Hemker, Zohreh Shams, Mateja Jamnik:
CGXplain: Rule-Based Deep Neural Network Explanations Using Dual Linear Programs. 60-72 - Maurice Rupp, Oriane Peter, Thirupathi Pattipaka:
ExBEHRT: Extended Transformer for Electronic Health Records. 73-84 - Georgios Efstathiadis, Patrick Emedom-Nnamdi, Arinbjörn Kolbeinsson, Jukka-Pekka Onnela, Junwei Lu:
STASIS: Reinforcement Learning Simulators for Human-Centric Real-World Environments. 85-92 - Zuhui Wang:
Cross-Domain Microscopy Cell Counting By Disentangled Transfer Learning. 93-105 - Maresa Schröder, Alireza Zamanian, Narges Ahmidi:
Post-hoc Saliency Methods Fail to Capture Latent Feature Importance in Time Series Data. 106-121 - Hanxiao Lu, Zeyu Huang, Ren Wang:
Enhancing Healthcare Model Trustworthiness Through Theoretically Guaranteed One-Hidden-Layer CNN Purification. 122-133 - Jong Kwon, Jianbo Jiao, Alice Self, Julia Alison Noble, Aris T. Papageorghiou:
A Kernel Density Estimation Based Quality Metric for Quality Assessment of Obstetric Ultrasound Video. 134-146 - Chongyang Wang, Yuan Gao, Chenyou Fan, Junjie Hu, Tin Lum Lam, Nicholas D. Lane, Nadia Bianchi-Berthouze:
Learn2Agree: Fitting with Multiple Annotators Without Objective Ground Truth. 147-162 - Gilad Kutiel, Regev Cohen, Michael Elad, Daniel Freedman, Ehud Rivlin:
Conformal Prediction Masks: Visualizing Uncertainty in Medical Imaging. 163-176 - Yanqi Cheng, Lihao Liu, Shujun Wang, Yueming Jin, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero:
Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition Through the Lens of Robustness. 177-189 - Xiaoyu Yang, Lijian Xu, Simon Yu, Qing Xia, Hongsheng Li, Shaoting Zhang:
Geometry-Based End-to-End Segmentation of Coronary Artery in Computed Tomography Angiography. 190-196
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