Hao Chen

Sun Yat-sen University — China

Medicine · Health Sciences

82h-index42.5kcitations792works6.12yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(124), AI in cancer detection(116), Advanced Neural Network Applications(109), Domain Adaptation and Few-Shot Learning(72), COVID-19 diagnosis using AI(62)

Publications791 total

Optimizing potential-based reward automata in partially observable reinforcement learning using genetic local search
Engineering Applications of Artificial Intelligence·2026
KBVQ-MoE: KLT-guided SVD with Bias-Corrected Vector Quantization for MoE Large Language Models
arXiv (Cornell University)·2026Open Access
KBVQ-MoE: KLT-guided SVD with Bias-Corrected Vector Quantization for MoE Large Language Models
ArXiv.org·2026Open Access
Fast Track Anything With Sparse Spatio-Temporal Propagation for Unified Video Segmentation
IEEE Transactions on Image Processing·2026· 1 cited
Retrieval-Enhanced Visual Prompt Learning for Few-shot Classification
IEEE Transactions on Circuits and Systems for Video Technology·2026
LLM-driven Knowledge Enhancement for Multimodal Cancer Survival Prediction
arXiv (Cornell University)·2025Open Access
Pathologic Response and Surgical Outcomes of Neoadjuvant Immunochemotherapy in Locally Advanced NSCLC: A Single-Center, Retrospective Study
2025Open Access
A multimodal knowledge-enhanced whole-slide pathology foundation model
Nature Communications·2025· 7 citedOpen Access
Large-scale generative tumor synthesis in computed tomography images for improving tumor recognition
Nature Communications·2025Open Access
Assembled Gold Superstructure Triggered Synergistic Apoptosis/Ferroptosis via Combined Photo-Enzyme Therapy
ACS Applied Materials & Interfaces·2025
Large-Scale 3D Medical Image Pre-Training With Geometric Context Priors
IEEE Transactions on Pattern Analysis and Machine Intelligence·2025· 4 cited
Perioperative tislelizumab plus neoadjuvant chemotherapy for patients with resectable non-small-cell lung cancer: final analysis of the randomized RATIONALE-315 trial
Annals of Oncology·2025· 1 cited
A Benchmark for Breast Cancer Screening and Diagnosis in Mammogram Visual Question Answering
Nature Communications·2025Open Access
A dual-branch network for lesion segmentation in medical images using state space models
Quantitative Imaging in Medicine and Surgery·2025Open Access
Flow-Guided Implicit Neural Representation for Motion-Aware Dynamic MRI Reconstruction
arXiv (Cornell University)·2025Open Access
PathOrchestra: a comprehensive foundation model for computational pathology with over 100 diverse clinical-grade tasks
npj Digital Medicine·2025· 2 citedOpen Access
Deep-learning radiomics and hand-crafted radiomics utilizing contrast-enhanced MRI to predict early peritumoral recurrence after DEB-TACE with hepatocellular carcinoma: a two-center study
Frontiers in Oncology·2025Open Access
Triglyceride-glucose index as a predictor of cardiovascular multimorbidity: a prospective cohort study
Frontiers in Cardiovascular Medicine·2025Open Access
DeepPMD: A Comprehensive Deep Learning Framework for Primary-Metastatic Classification and Origin Prediction in Lung Adenocarcinoma – Multi-Center Whole Slide Image Validation
2025Open Access
Evaluation of the diagnostic value of magnetic resonance imaging combined with ultrasound and mammography for breast cancer using array spatial sensitivity encoding technique
Frontiers in Oncology·2025Open Access
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Frequent Co-authors

Pheng‐Ann Heng(35), Qi Dou(27), Jing Qin(18), Lequan Yu(15), Zhi Tian(7), Chunhua Shen(7), Xiaojuan Qi(6), Chi‐Wing Fu(6), Yueming Jin(5), Huangjing Lin(4), Nasir Rajpoot(4), Xiaomeng Li(4), Xin Yang(4), Cheng Chen(4), Tong He(3), Bram van Ginneken(3), Colin Jacobs(3), Jun Ma(3), Efstratios Tsougenis(3), Dong Ni(3)