Poster sessions will be in the Lobby in Building Cure (1920 Terry Ave.)
Presenters – the poster board numbers correspond with your paper ID.
#84 – Bridging the Reliability Gap: INT8 Quantization Effects on Discrimination and Calibration in Medical Imaging
Okan Bilge Ozdemir
#90 – Revisiting Performance Claims for Chest X-Ray Models Using Clinical Context
Andrew Wang
#94 – Can Language Models Identify Side Effects of Breast Cancer Radiation Treatments?
Natalie Seah
#96 – Toward Improving Diagnostic Reasoning for Spina Bifida Care: Benchmarking LLM–Patient Interactions
Asfandyar Azhar
#99 – H-AdminSim: A Multi-Agent Simulator for Realistic Hospital Administrative Workflows with FHIR Integration
Jun-Min Lee
#101 – TEMPO: Transformers for Temporal Disease Progression from Cross-Sectional Data
Hongtao Hao
#103 – CANDOR: Counterfactual ANnotated DOubly Robust Off-Policy Evaluation
Aishwarya Mandyam
#116 – Proto4DME: Interpretable Cell Counting via Additive Prototype Density Decomposition and Optimal-Transport Coverage
Abdurahman Ali Mohammed
#117 – Towards the Anonymization of Masked Language Modeling
Antoine Boutet
#120 – Mechanistically Guided LoRA Improves Paraphrase Consistency in Medical Vision-Language Models
Binesh Sadanandan
#123 – DeconDTN-Toolkit: A Library for Evaluation and Enhancement of Robustness to Provenance Shift
Yongsen Tan
#127 – SocialLM: Using LLMs and contextual aggregation to track patient-provider communication
Manas Bedmutha
#129 – Cached Summary Embeddings for Memory-Efficient EHR Inference
Rafi Al Attrach
#133 – Empirical Analysis of Calibration and Selective Prediction in Multimodal Clinical Condition Classification
Leopoldo Julian Lechuga Lopez
#134 – Learning Under Extreme Label Imbalance in EHRs: A Dependency-Aware Loss for Multi-Label Classification
Iris Szu-Szu Ho
#135 – ALMo: Interactive Aim-Limit-Defined, Multi-Objective System for Personalized High-Dose-Rate Brachytherapy Treatment Planning and Visualization for Cervical Cancer
Edward Chen
#137 – Structured Treatment Modeling in Deep Survival Analysis via Hazard Factorization
Natalia Hong
#138 – ML-Powered Triage and Queue Optimization for Resource-Constrained Free Clinics
Armaan V. Grewal
#141 – Do More Agents Help? A Benchmark Study of LLM Agents for Multimodal Clinical Prediction Tasks
Baraa Al Jorf
#4 – Reconstructing Sepsis Trajectories from Clinical Case Reports using LLMs: the Textual Time Series Corpus for Sepsis
Shahriar Noroozizadeh
#12 – Video-based Disease Progression Simulation
Xu Cao
#23 – A Multi-Dataset Benchmark of Multiple Instance Learning for 3D Neuroimage Classification
Ethan Harvey
#27 – Generating synthetic electronic health record data using agent-based models to evaluate machine learning robustness under mass casualty incidents
Roben Delos Reyes
#29 – Lunguage: A Benchmark for Structured and Sequential Chest X-ray Interpretation
Jong Hak Moon
#30 – Survey-aware Machine Learning: A Guideline for Valid Population Health Inference based on Scoping Review
YongKyung Oh
#34 – A Multi-dimensional Framework for Evaluating Generalization in EEG Foundation Models
Aditya Kommineni
#35 – MSnet: A deep neural network based on piecewise-constant proposals within Multi-State event history analysis
Aziliz Cottin
#38 – Adaptive Test-Time Scaling for Zero-Shot Respiratory Audio Classification
Tsai-Ning Wang
#43 – MAM: Multinomial Attention Masking for Foundation Models on Sparse Single-Cell RNA-seq Data
Amirreza Naziri
#44 – LapDDPM: Spectral Perturbation Diffusion for Robust Single-Cell Manifold Generation
Lorenzo Bini
#48 – Generation of Multi-Lingual Synthetic Clinical Notes for Realistic Data Augmentation
David Lee
#51 – ALPACA: A Reinforcement Learning Environment for Medication Repurposing and Treatment Optimization in Alzheimer’s Disease
Nolan Brady
#56 – Training-Free Adaptation of New-Generation LLMs using Legacy Clinical Models
Sasha Ronaghi
#61 – Counterfactuals for Subjective Wellbeing Panel Data: Integrated Application of Statistical Ensemble and Machine Learning Methods
Jerry Chen
#64 – ASCENT: A Benchmark for Evaluating and Advancing Stepwise Diagnostic Reasoning in Large Language Models on Common Clinical Scenarios
Yera Choi
#67 – Open-Ended Clinical Text Generation for Acute Care: Applying Reinforcement Learning with Clinically Grounded Rewards
Minjia Wang
#70 – ReXSonoVQA: A Video QA Benchmark for Procedure-Centric Ultrasound Understanding
Xucheng Wang
#77 – Evaluating Robustness of LLM-Based Ambient Scribes for SOAP Note Generation
Ehsan Latif
#83 – Enhancing Extubation Failure Prediction with LLM-Derived Features from Respiratory Therapy Clinical Notes
Izzy Chaiken
