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20162026
most citedGenerative AI for Synthetic Data Across Multiple Medical Modalities: A Systematic Review of Recent Developments and Challenges

116 citations · 237 across the 34 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

cs.CV2025

Deep learning motion correction of quantitative stress perfusion cardiovascular magnetic resonance

Noortje I. P. Schueler, Nathan C. K. Wong, Richard J. Crawley +3

Background: Quantitative stress perfusion cardiovascular magnetic resonance (CMR) is a powerful tool for assessing myocardial ischemia. Motion correction is essential for accurate…

eess.IV2025

Discriminating Distal Ischemic Stroke from Seizure-Induced Stroke Mimics Using Dynamic Susceptibility Contrast MRI

Marijn Borghouts, Richard McKinley, Manuel Köstner +3

Distinguishing acute ischemic strokes (AIS) from stroke mimics (SMs), particularly in cases involving medium and small vessel occlusions, remains a significant diagnostic challenge…

eess.IV2025

DeepMultiConnectome: Deep Multi-Task Prediction of Structural Connectomes Directly from Diffusion MRI Tractography

Marcus J. Vroemen, Yuqian Chen, Yui Lo +5

Diffusion MRI (dMRI) tractography enables in vivo mapping of brain structural connections, but traditional connectome generation is time-consuming and requires gray matter parcella…

eess.IV2025

A Spatially-Aware Multiple Instance Learning Framework for Digital Pathology

Hassan Keshvarikhojasteh, Mihail Tifrea, Sibylle Hess +2

Multiple instance learning (MIL) is a promising approach for weakly supervised classification in pathology using whole slide images (WSIs). However, conventional MIL methods such a…

eess.IV2025

Adaptive Prototype Learning for Multimodal Cancer Survival Analysis

Hong Liu, Haosen Yang, Federica Eduati +2

Leveraging multimodal data, particularly the integration of whole-slide histology images (WSIs) and transcriptomic profiles, holds great promise for improving cancer survival predi…

cs.CV2025

PathoPainter: Augmenting Histopathology Segmentation via Tumor-aware Inpainting

Hong Liu, Haosen Yang, Evi M. C. Huijben +4

Tumor segmentation plays a critical role in histopathology, but it requires costly, fine-grained image-mask pairs annotated by pathologists. Thus, synthesizing histopathology data…