Picture for Michael Krauthammer

Michael Krauthammer

Towards Scalable and Cross-Lingual Specialist Language Models for Oncology

Add code
Mar 11, 2025
Viaarxiv icon

Uncertainty Modeling in Multimodal Speech Analysis Across the Psychosis Spectrum

Add code
Feb 25, 2025
Viaarxiv icon

RadVLM: A Multitask Conversational Vision-Language Model for Radiology

Add code
Feb 05, 2025
Figure 1 for RadVLM: A Multitask Conversational Vision-Language Model for Radiology
Figure 2 for RadVLM: A Multitask Conversational Vision-Language Model for Radiology
Figure 3 for RadVLM: A Multitask Conversational Vision-Language Model for Radiology
Figure 4 for RadVLM: A Multitask Conversational Vision-Language Model for Radiology
Viaarxiv icon

A Variational Perspective on Generative Protein Fitness Optimization

Add code
Jan 31, 2025
Figure 1 for A Variational Perspective on Generative Protein Fitness Optimization
Figure 2 for A Variational Perspective on Generative Protein Fitness Optimization
Figure 3 for A Variational Perspective on Generative Protein Fitness Optimization
Figure 4 for A Variational Perspective on Generative Protein Fitness Optimization
Viaarxiv icon

TAMER: A Test-Time Adaptive MoE-Driven Framework for EHR Representation Learning

Add code
Jan 10, 2025
Viaarxiv icon

Learning Personalized Treatment Decisions in Precision Medicine: Disentangling Treatment Assignment Bias in Counterfactual Outcome Prediction and Biomarker Identification

Add code
Oct 01, 2024
Figure 1 for Learning Personalized Treatment Decisions in Precision Medicine: Disentangling Treatment Assignment Bias in Counterfactual Outcome Prediction and Biomarker Identification
Figure 2 for Learning Personalized Treatment Decisions in Precision Medicine: Disentangling Treatment Assignment Bias in Counterfactual Outcome Prediction and Biomarker Identification
Figure 3 for Learning Personalized Treatment Decisions in Precision Medicine: Disentangling Treatment Assignment Bias in Counterfactual Outcome Prediction and Biomarker Identification
Figure 4 for Learning Personalized Treatment Decisions in Precision Medicine: Disentangling Treatment Assignment Bias in Counterfactual Outcome Prediction and Biomarker Identification
Viaarxiv icon

Semi-Supervised Generative Models for Disease Trajectories: A Case Study on Systemic Sclerosis

Add code
Jul 16, 2024
Viaarxiv icon

Clustering of Disease Trajectories with Explainable Machine Learning: A Case Study on Postoperative Delirium Phenotypes

Add code
May 06, 2024
Figure 1 for Clustering of Disease Trajectories with Explainable Machine Learning: A Case Study on Postoperative Delirium Phenotypes
Figure 2 for Clustering of Disease Trajectories with Explainable Machine Learning: A Case Study on Postoperative Delirium Phenotypes
Figure 3 for Clustering of Disease Trajectories with Explainable Machine Learning: A Case Study on Postoperative Delirium Phenotypes
Figure 4 for Clustering of Disease Trajectories with Explainable Machine Learning: A Case Study on Postoperative Delirium Phenotypes
Viaarxiv icon

Towards AI-Based Precision Oncology: A Machine Learning Framework for Personalized Counterfactual Treatment Suggestions based on Multi-Omics Data

Add code
Feb 19, 2024
Figure 1 for Towards AI-Based Precision Oncology: A Machine Learning Framework for Personalized Counterfactual Treatment Suggestions based on Multi-Omics Data
Figure 2 for Towards AI-Based Precision Oncology: A Machine Learning Framework for Personalized Counterfactual Treatment Suggestions based on Multi-Omics Data
Figure 3 for Towards AI-Based Precision Oncology: A Machine Learning Framework for Personalized Counterfactual Treatment Suggestions based on Multi-Omics Data
Figure 4 for Towards AI-Based Precision Oncology: A Machine Learning Framework for Personalized Counterfactual Treatment Suggestions based on Multi-Omics Data
Viaarxiv icon

Radiology-Aware Model-Based Evaluation Metric for Report Generation

Add code
Nov 28, 2023
Viaarxiv icon