Jianhua Yao
Jianhua Yao
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Deep convolutional neural networks for computer-aided detection: CNN architectures, dataset characteristics and transfer learning
HC Shin, HR Roth, M Gao, L Lu, Z Xu, I Nogues, J Yao, D Mollura, ...
IEEE transactions on medical imaging 35 (5), 1285-1298, 2016
Polyps: Linear and Volumetric Measurement at CT Colonography1
SC Yeshwant, RM Summers, J Yao, DS Brickman, JR Choi, PJ Pickhardt
Radiology 241 (3), 802-811, 2006
Improving computer-aided detection using convolutional neural networks and random view aggregation
HR Roth, L Lu, J Liu, J Yao, A Seff, K Cherry, L Kim, RM Summers
IEEE transactions on medical imaging 35 (5), 1170-1181, 2015
DeepPap: deep convolutional networks for cervical cell classification
L Zhang, L Lu, I Nogues, RM Summers, S Liu, J Yao
IEEE journal of biomedical and health informatics 21 (6), 1633-1643, 2017
Learning to read chest x-rays: Recurrent neural cascade model for automated image annotation
HC Shin, K Roberts, L Lu, D Demner-Fushman, J Yao, RM Summers
Proceedings of the IEEE conference on computer vision and pattern …, 2016
Computed tomographic virtual colonoscopy computer-aided polyp detection in a screening population
RM Summers, J Yao, PJ Pickhardt, M Franaszek, I Bitter, D Brickman, ...
Gastroenterology 129 (6), 1832-1844, 2005
Early triage of critically ill COVID-19 patients using deep learning
Nature Communications, 2020
Genome-wide analysis identifies 12 loci influencing human reproductive behavior
N Barban, R Jansen, R De Vlaming, A Vaez, JJ Mandemakers, FC Tropf, ...
Nature genetics 48 (12), 1462-1472, 2016
Medical image segmentation by combining graph cuts and oriented active appearance models
X Chen, JK Udupa, U Bagci, Y Zhuge, J Yao
IEEE transactions on image processing 21 (4), 2035-2046, 2012
Anatomy-specific classification of medical images using deep convolutional nets
HR Roth, CT Lee, HC Shin, A Seff, L Kim, J Yao, L Lu, RM Summers
2015 IEEE 12th international symposium on biomedical imaging (ISBI), 101-104, 2015
Interleaved text/image deep mining on a large-scale radiology database for automated image interpretation
HC Shin, L Lu, L Kim, A Seff, J Yao, RM Summers
Journal of Machine Learning Research 17 (107), 1-31, 2016
Computer-integrated revision total hip replacement surgery: concept and preliminary results
RH Taylor, L Joskowicz, B Williamson, A Guéziec, A Kalvin, P Kazanzides, ...
Medical image analysis 3 (3), 301-319, 1999
Joint segmentation of anatomical and functional images: Applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images
U Bagci, JK Udupa, N Mendhiratta, B Foster, Z Xu, J Yao, X Chen, ...
Medical image analysis 17 (8), 929-945, 2013
Interstitial myocardial fibrosis assessed as extracellular volume fraction with low-radiation-dose cardiac CT
MS Nacif, N Kawel, JJ Lee, X Chen, J Yao, A Zavodni, CT Sibley, ...
Radiology 264 (3), 876-883, 2012
Automated spinal column extraction and partitioning
J Yao, SD O'Connor, RM Summers
3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006 …, 2006
Predicting lymph node metastasis using histopathological images based on multiple instance learning with deep graph convolution
Y Zhao, F Yang, Y Fang, H Liu, N Zhou, J Zhang, J Sun, S Yang, B Menze, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Vertebral body compression fractures and bone density: automated detection and classification on CT images
JE Burns, J Yao, RM Summers
Radiology 284 (3), 788-797, 2017
Colonic polyp segmentation in CT colonography-based on fuzzy clustering and deformable models
J Yao, M Miller, M Franaszek, RM Summers
IEEE Transactions on Medical Imaging 23 (11), 1344-1352, 2004
scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA-seq data
F Yang, W Wang, F Wang, Y Fang, D Tang, J Huang, H Lu, J Yao
Nature Machine Intelligence 4 (10), 852-866, 2022
Development and interpretation of a pathomics-based model for the prediction of microsatellite instability in colorectal cancer
R Cao, F Yang, SC Ma, L Liu, Y Zhao, Y Li, DH Wu, T Wang, WJ Lu, ...
Theranostics 10 (24), 11080, 2020
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