Lingdao Sha

Amazon (Germany) — Germany

Medicine · Health Sciences

7h-index276citations23works3.02yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(5), Face and Expression Recognition(4), AI in cancer detection(4), Sparse and Compressive Sensing Techniques(3), Digital Imaging for Blood Diseases(3)

Publications23 total

Prediction of MET Overexpression in Lung Adenocarcinoma from Hematoxylin and Eosin Images
American Journal Of Pathology·2024· 3 citedOpen Access
Prediction of MET Overexpression in Non-Small Cell Lung Adenocarcinomas from Hematoxylin and Eosin Images
arXiv (Cornell University)·2023Open Access
Imaging-based histological features are predictive of MET alterations in Non-Small Cell Lung Cancer
arXiv (Cornell University)·2022· 1 citedOpen Access
H&E image-based consensus molecular subtype classification of colorectal cancer using weak labeling.
Journal of Clinical Oncology·2020· 2 cited
Learning relevant H&E slide morphologies for prediction of colorectal cancer tumor mutation burden using weakly supervised deep learning.
Journal of Clinical Oncology·2020· 5 cited
Abstract B57: Integrating RNA expression and visual features for immune infiltrate prediction
Cancer Immunology Research·2020
Replicating and identifying large cell neuroblastoma using high-dose intra-tumoral chemotherapy and automated digital analysis
Journal of Pediatric Surgery·2019· 1 citedOpen Access
Dictionary Learning and Sparse Coding for Digital Image Forgery Detection
Electronic Imaging·2019· 2 cited
Multi-Field-of-View Deep Learning Model Predicts Nonsmall Cell Lung Cancer Programmed Death-Ligand 1 Status from Whole-Slide Hematoxylin and Eosin Images
Journal of Pathology Informatics·2019· 123 citedOpen Access
Graph Laplacian Regularization with Sparse Coding for Image Restoration and Representation
IEEE Transactions on Circuits and Systems for Video Technology·2019· 24 cited
Integrating RNA expression and visual features for immune infiltrate prediction
2018· 9 citedOpen Access
Computer vision detects subtle histological effects of dutasteride on benign prostate
British Journal of Urology·2018· 9 cited
Dual graph regularized sparse coding for image representation
2017· 2 cited
Computer Vision Detects Subtle Histological Effects of Dutasteride on Benign Prostate Tissue
The FASEB Journal·2017· 1 cited
Color normalization of histology slides using graph regularized sparse NMF
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE·2017· 11 cited
Locally linear embedded sparse coding for image representation
2017· 4 cited
Graph Regularized Sparse Coding by Modified Online Dictionary Learning
Electronic Imaging·2017· 1 cited
Graph Regularized Sparse Coding by Modified Online Dictionary Learning
2016· 1 citedOpen Access
Empirical comparison of color normalization methods for epithelial-stromal classification in H and E images
Journal of Pathology Informatics·2016· 57 citedOpen Access
Abstract LB-285: Computational pathology for predicting prostate cancer recurrence
Cancer Research·2015· 6 cited
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Frequent Co-authors

Dan Schonfeld(8), Irvin Ho(5), Peter H. Gann(5), Rohan P. Joshi(5), Martin C. Stumpe(5), Ryan Deaton(4), Virgilia Macias(4), Aly A. Khan(4), Amit Sethi(4), Timothy L. Tan(3), Neeraj Kumar(3), Kshitij Ingale(3), Bolesław L. Osinski(2), Amit Sethi(2), Jing Wang(2), Jiajian Yang(2), Yuan Gao(2), Xinrui Yu(2), Derek Reiman(2), Denise Lau(2)