ICML 2023 Workshop IMLH Submissions

Counterfactual Optimization of Treatment Policies Based on Temporal Point Process
Zilin Jing, Chao Yang, Shuang Li
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- IMLH 2023 PosterShortPaper
- Readers: Everyone
(Un)reasonable Allure of Ante-hoc Interpretability for High-stakes Domains: Transparency Is Necessary but Insufficient for Comprehensibility
Kacper Sokol, Julia E Vogt
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- IMLH 2023 PosterShortPaper
- Readers: Everyone
Feature Importance Measurement based on Decision Tree Sampling
CHAO HUANG, Diptesh Das, Koji Tsuda
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- IMLH 2023 PosterShortPaper
- Readers: Everyone
Identifying Inequity in Treatment Allocation
Yewon Byun, Dylan Sam, Zachary Chase Lipton, Bryan Wilder
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- IMLH 2023 PosterShortPaper
- Readers: Everyone
NeuroEvolve: A Dynamic Brain Graph Deep Generative Model
Simeon Emilov Spasov, Alexander Campbell, Nicola Toschi, Pietro Lio
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- IMLH 2023 Poster
- Readers: Everyone
DynDepNet: Learning Time-Varying Dependency Structures from fMRI Data via Dynamic Graph Structure Learning
Alexander Campbell, Antonio Giuliano Zippo, Luca Passamonti, Nicola Toschi, Pietro Lio
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- IMLH 2023 Oral
- Readers: Everyone
A Survey on Knowledge Graphs for Healthcare: Resources, Application Progress, and Promise
Hejie Cui, Jiaying Lu, Shiyu Wang, Ran Xu, Wenjing Ma, Shaojun Yu, Yue Yu, Xuan Kan, Tianfan Fu, Chen Ling, Joyce Ho, Fei Wang, Carl Yang
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- IMLH 2023 Poster
- Readers: Everyone
A ChatGPT Aided Explainable Framework for Zero-Shot Medical Image Diagnosis
Jiaxiang Liu, Tianxiang Hu, Yan Zhang, Xiaotang Gai, YANG FENG, Zuozhu Liu
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- IMLH 2023 Poster
- Readers: Everyone
A Pipeline for Interpretable Clinical Subtyping with Deep Metric Learning
Haoran Zhang, Qixuan Jin, Thomas Hartvigsen, Miriam Udler, Marzyeh Ghassemi
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- IMLH 2023 OralShortPaper
- Readers: Everyone
Signature Activation: A Sparse Signal View for Holistic Saliency
Jose Roberto Tello Ayala, Akl C. Fahed, Weiwei Pan, Eugene V. Pomerantsev, Patrick Thomas Ellinor, Anthony Philippakis, Finale Doshi-Velez
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- IMLH 2023 Oral
- Readers: Everyone
Explanation-guided dynamic feature selection for medical risk prediction
Nicasia Beebe-Wang, Wei Qiu, Su-In Lee
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- IMLH 2023 Poster
- Readers: Everyone
Rethinking Medical Report Generation: Disease Revealing Enhancement with Knowledge Graph
Yixin Wang, Zihao Lin, Haoyu Dong
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- IMLH 2023 Poster
- Readers: Everyone
ADMIRE++: Explainable Anomaly Detection in the Human Brain via Inductive Learning on Temporal Multiplex Networks
Ali Behrouz, Margo Seltzer
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- IMLH 2023 Oral
- Readers: Everyone
Reframing the Brain Age Prediction Problem to a More Interpretable and Quantitative Approach
Neha Gianchandani, Mahsa Dibaji, Mariana Bento, Ethan MacDonald, Roberto Souza
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- IMLH 2023 Poster
- Readers: Everyone
A Unifying Framework to the Analysis of Interaction Methods using Synergy Functions
Daniel Lundstrom, Ali Ghafelebashi, Meisam Razaviyayn
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- IMLH 2023 Oral
- Readers: Everyone
An interpretable data augmentation framework for improving generative modeling of synthetic clinical trial data
Afrah Shafquat, Jason Mezey, Mandis Beigi, Jimeng Sun, Andy Gao, Jacob W. Aptekar
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- IMLH 2023 Oral
- Readers: Everyone
Automated Detection of Interpretable Causal Inference Opportunities: Regression Discontinuity Subgroup Discovery
Tony Liu, Patrick Lawlor, Lyle Ungar, Konrad Kording, Rahul Ladhania
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- IMLH 2023 Poster
- Readers: Everyone
Prospectors: Leveraging Short Contexts to Mine Salient Objects in High-dimensional Imagery
Gautam Machiraju, Arjun D Desai, James Zou, Christopher Re, Parag Mallick
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- IMLH 2023 Poster
- Readers: Everyone
Bridging the Gap: From Post Hoc Explanations to Inherently Interpretable Models for Medical Imaging
Shantanu Ghosh, Ke Yu, Forough Arabshahi, kayhan Batmanghelich
- Published: 20 Jun 2023, Last Modified: 20 Jul 2023
- IMLH 2023 Poster
- Readers: Everyone
Designing optimal tests for slow converging Markov chains
Pratik Worah, Clifford Stein
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- IMLH 2023 PosterShortPaper
- Readers: Everyone
Interpretable Ensemble-based Deep Learning Approach for Automated Detection of Macular Telangiectasia Type 2 by Optical Coherence Tomography
Shahrzad Gholami, Lea Scheppke, Rahul M Dodhia, Juan M Lavista Ferres, Aaron Lee
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- IMLH 2023 PosterShortPaper
- Readers: Everyone
Semi-supervised Ordinal Regression via Cumulative Link Models for Predicting In-Hospital Length-of-Stay
Alexander Arjun Lobo, Preetish Rath, Michael C Hughes
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- IMLH 2023 PosterShortPaper
- Readers: Everyone
Learning where to intervene with a differentiable top-k operator: Towards data-driven strategies to prevent fatal opioid overdoses
Kyle Heuton, Shikhar Shrestha, Thomas Stopka, Michael C Hughes
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- IMLH 2023 PosterShortPaper
- Readers: Everyone
Verifiable Feature Attributions: A Bridge between Post Hoc Explainability and Inherent Interpretability
Usha Bhalla, Suraj Srinivas, Himabindu Lakkaraju
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- IMLH 2023 Poster
- Readers: Everyone
Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models
Cosmin I. Bercea, Michael Neumayr, Daniel Rueckert, Julia A Schnabel
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- IMLH 2023 Poster
- Readers: Everyone