182 citations · 251 across the 7 of their papers we have counts for
7 papers
Artificial-intelligence-based molecular classification of diffuse gliomas using rapid, label-free optical imaging
Todd C. Hollon, Cheng Jiang, Asadur Chowdury +22
Molecular classification has transformed the management of brain tumors by enabling more accurate prognostication and personalized treatment. However, timely molecular diagnostic t…
Hierarchical discriminative learning improves visual representations of biomedical microscopy
Cheng Jiang, Xinhai Hou, Akhil Kondepudi +5
Learning high-quality, self-supervised, visual representations is essential to advance the role of computer vision in biomedical microscopy and clinical medicine. Previous work has…
OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology
Cheng Jiang, Asadur Chowdury, Xinhai Hou +7
Accurate intraoperative diagnosis is essential for providing safe and effective care during brain tumor surgery. Our standard-of-care diagnostic methods are time, resource, and lab…
3D Shuffle-Mixer: An Efficient Context-Aware Vision Learner of Transformer-MLP Paradigm for Dense Prediction in Medical Volume
Jianye Pang, Cheng Jiang, Yihao Chen +4
Dense prediction in medical volume provides enriched guidance for clinical analysis. CNN backbones have met bottleneck due to lack of long-range dependencies and global context mod…
Fusion of medical imaging and electronic health records with attention and multi-head machanisms
Cheng Jiang, Yihao Chen, Jianbo Chang +3
Doctors often make diagonostic decisions based on patient's image scans, such as magnetic resonance imaging (MRI), and patient's electronic health records (EHR) such as age, gender…
Rapid Automated Analysis of Skull Base Tumor Specimens Using Intraoperative Optical Imaging and Artificial Intelligence
Cheng Jiang, Abhishek Bhattacharya, Joseph Linzey +19
Background: Accurate diagnosis of skull base tumors is essential for providing personalized surgical treatment strategies. Intraoperative diagnosis can be challenging due to tumor…