Hongmin Cai
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Discrimination of breast cancer with microcalcifications on mammography by deep learning
J Wang, X Yang, H Cai, W Tan, C Jin, L Li
Scientific reports 6 (1), 1-9, 2016
Multiparametric tissue characterization of brain neoplasms and their recurrence using pattern classification of MR images
R Verma, EI Zacharaki, Y Ou, H Cai, S Chawla, SK Lee, ER Melhem, ...
Academic radiology 15 (8), 966-977, 2008
A new iterative triclass thresholding technique in image segmentation
H Cai, Z Yang, X Cao, W Xia, X Xu
IEEE transactions on image processing 23 (3), 1038-1046, 2014
Repulsive force based snake model to segment and track neuronal axons in 3D microscopy image stacks
H Cai, X Xu, J Lu, JW Lichtman, SP Yung, STC Wong
NeuroImage 32 (4), 1608-1620, 2006
Quantitative analysis and prediction of regional lymph node status in rectal cancer based on computed tomography imaging
C Cui, H Cai, L Liu, L Li, H Tian, L Li
European radiology 21 (11), 2318-2325, 2011
Diagnosis of breast masses from dynamic contrast-enhanced and diffusion-weighted MR: a machine learning approach
H Cai, Y Peng, C Ou, M Chen, L Li
PloS one 9 (1), e87387, 2014
Feature weight estimation for gene selection: a local hyperlinear learning approach
H Cai, P Ruan, M Ng, T Akutsu
BMC bioinformatics 15 (1), 1-13, 2014
Probabilistic segmentation of brain tumors based on multi-modality magnetic resonance images
H Cai, R Verma, Y Ou, S Lee, ER Melhem, C Davatzikos
2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to …, 2007
Diagnostic assessment by dynamic contrast-enhanced and diffusion-weighted magnetic resonance in differentiation of breast lesions under different imaging protocols
H Cai, L Liu, Y Peng, Y Wu, L Li
BMC cancer 14 (1), 1-12, 2014
Effective image noise removal based on difference eigenvalue
H Tian, H Cai, JH Lai, X Xu
2011 18th IEEE International Conference on Image Processing, 3357-3360, 2011
Breast microcalcification diagnosis using deep convolutional neural network from digital mammograms
H Cai, Q Huang, W Rong, Y Song, J Li, J Wang, J Chen, L Li
Computational and mathematical methods in medicine 2019, 2019
Molecular prognostic prediction for locally advanced nasopharyngeal carcinoma by support vector machine integrated approach
XB Wan, Y Zhao, XJ Fan, HM Cai, Y Zhang, MY Chen, J Xu, XY Wu, HB Li, ...
PloS one 7 (3), e31989, 2012
Using nonlinear diffusion and mean shift to detect and connect cross-sections of axons in 3D optical microscopy images
H Cai, X Xu, J Lu, J Lichtman, SP Yung, STC Wong
Medical Image Analysis 12 (6), 666-675, 2008
Epithelial–mesenchymal transition biomarkers and support vector machine guided model in preoperatively predicting regional lymph node metastasis for rectal cancer
XJ Fan, XB Wan, Y Huang, HM Cai, XH Fu, ZL Yang, DK Chen, SX Song, ...
British journal of cancer 106 (11), 1735-1741, 2012
Radiomics on multi-modalities MR sequences can subtype patients with non-metastatic nasopharyngeal carcinoma (NPC) into distinct survival subgroups
EH Zhuo, WJ Zhang, HJ Li, GY Zhang, BZ Jing, J Zhou, CY Cui, MY Chen, ...
European radiology 29 (10), 5590-5599, 2019
Simultaneous interrogation of cancer omics to identify subtypes with significant clinical differences
A Xu, J Chen, H Peng, GQ Han, H Cai
Frontiers in genetics 10, 236, 2019
HOGMMNC: a higher order graph matching with multiple network constraints model for gene–drug regulatory modules identification
J Chen, H Peng, G Han, H Cai, J Cai
Bioinformatics 35 (4), 602-610, 2019
Shape-constrained repulsive snake method to segment and track neurons in 3D microscopy images
H Cai, X Xu, J Lu, J Lichtman, SP Yung, STC Wong
3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006 …, 2006
Optimal combination of feature selection and classification via local hyperplane based learning strategy
X Cheng, H Cai, Y Zhang, B Xu, W Su
BMC bioinformatics 16 (1), 1-10, 2015
Using deep‐learning algorithms to classify fetal brain ultrasound images as normal or abnormal
HN Xie, N Wang, M He, LH Zhang, HM Cai, JB Xian, MF Lin, J Zheng, ...
Ultrasound in Obstetrics & Gynecology 56 (4), 579-587, 2020
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