most citedThe Multi-modality Cell Segmentation Challenge: Towards Universal Solutions

151 citations · 159 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024

WangLab at MEDIQA-M3G 2024: Multimodal Medical Answer Generation using Large Language Models

Ronald Xie, Steven Palayew, Augustin Toma +2

This paper outlines our submission to the MEDIQA2024 Multilingual and Multimodal Medical Answer Generation (M3G) shared task. We report results for two standalone solutions under t…

cs.CL2024★ 1 cited

WangLab at MEDIQA-CORR 2024: Optimized LLM-based Programs for Medical Error Detection and Correction

Augustin Toma, Ronald Xie, Steven Palayew +2

Medical errors in clinical text pose significant risks to patient safety. The MEDIQA-CORR 2024 shared task focuses on detecting and correcting these errors across three subtasks: i…

eess.IV2023★ 151 cited

The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions

Jun Ma, Ronald Xie, Shamini Ayyadhury +37

Cell segmentation is a critical step for quantitative single-cell analysis in microscopy images. Existing cell segmentation methods are often tailored to specific modalities or req…

cs.CL2023★ 1 cited

WangLab at MEDIQA-Chat 2023: Clinical Note Generation from Doctor-Patient Conversations using Large Language Models

John Giorgi, Augustin Toma, Ronald Xie +4

This paper describes our submission to the MEDIQA-Chat 2023 shared task for automatic clinical note generation from doctor-patient conversations. We report results for two approach…

cs.CV2023★ 6 cited

Spatially Resolved Gene Expression Prediction from H&E Histology Images via Bi-modal Contrastive Learning

Ronald Xie, Kuan Pang, Sai W. Chung +4

Histology imaging is an important tool in medical diagnosis and research, enabling the examination of tissue structure and composition at the microscopic level. Understanding the u…