9 citations · 16 across the 11 of their papers we have counts for
11 papers
Agentic Visual Reasoning in Whole-Slide Pathology Images via Active Perception
Jingyun Chen, Fengchun Liu, Linghan Cai +5
Whole-slide visual reasoning requires identifying sparse diagnostic evidence in gigapixel pathology slides and integrating observations across spatial scales. Existing WSI methods…
Learning Sparse Latent Predictive Foundation Model for Multimodal Neuroimaging
Haoxu Huang, Long Chen, Jingyun Chen +8
Brain MRIs are routinely acquired as multiple complementary sequences with unique contrast weighting, including T1-weighed imaging (T1w) anatomic and fluid-sensitive T2-weighted (T…
PathAgent: Toward Interpretable Analysis of Whole-slide Pathology Images via Large Language Model-based Agentic Reasoning
Jingyun Chen, Linghan Cai, Zhikang Wang +5
Analyzing whole-slide images (WSIs) requires an iterative, evidence-driven reasoning process that parallels how pathologists dynamically zoom, refocus, and self-correct while colle…
UAM: A Unified Attention-Mamba Backbone of Multimodal Framework for Tumor Cell Classification
Taixi Chen, Jingyun Chen, Nancy Guo
Inspired by the recent success of the Mamba architecture in vision and language domains, we introduce a Unified Attention-Mamba (UAM) backbone. Unlike previous hybrid approaches th…
Federated prediction for scalable and privacy-preserved knowledge-based planning in radiotherapy
Jingyun Chen, David Horowitz, Yading Yuan
Background: Deep learning has potential to improve the efficiency and consistency of radiation therapy planning, but clinical adoption is hindered by the limited model generalizabi…
Decentralized Personalization for Federated Medical Image Segmentation via Gossip Contrastive Mutual Learning
Jingyun Chen, Yading Yuan
Federated Learning (FL) presents a promising avenue for collaborative model training among medical centers, facilitating knowledge exchange without compromising data privacy. Howev…
FedKBP: Federated dose prediction framework for knowledge-based planning in radiation therapy
Jingyun Chen, Martin King, Yading Yuan
Dose prediction plays a key role in knowledge-based planning (KBP) by automatically generating patient-specific dose distribution. Recent advances in deep learning-based dose predi…
H2ASeg: Hierarchical Adaptive Interaction and Weighting Network for Tumor Segmentation in PET/CT Images
Jinpeng Lu, Jingyun Chen, Linghan Cai +2
Positron emission tomography (PET) combined with computed tomography (CT) imaging is routinely used in cancer diagnosis and prognosis by providing complementary information. Automa…
Decentralized Gossip Mutual Learning (GML) for brain tumor segmentation on multi-parametric MRI
Jingyun Chen, Yading Yuan
Federated Learning (FL) enables collaborative model training among medical centers without sharing private data. However, traditional FL risks on server failures and suboptimal per…
Decentralized Gossip Mutual Learning (GML) for automatic head and neck tumor segmentation
Jingyun Chen, Yading Yuan
Federated learning (FL) has emerged as a promising strategy for collaboratively training complicated machine learning models from different medical centers without the need of data…
Low Rank plus Sparse Decomposition of ODFs for Improved Detection of Group-level Differences and Variable Correlations in White Matter
Steven H. Baete, Jingyun Chen, Ying-Chia Lin +3
A novel approach is presented for group statistical analysis of diffusion weighted MRI datasets through voxelwise Orientation Distribution Functions (ODF). Recent advances in MRI a…