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), 27327, 2016
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
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
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 (1), 2717454, 2019
Chataug: Leveraging chatgpt for text data augmentation
H Dai, Z Liu, W Liao, X Huang, Z Wu, L Zhao, W Liu, N Liu, S Li, D Zhu, ...
arXiv preprint arXiv:2302.13007 1 (2), 2023
Auggpt: Leveraging chatgpt for text data augmentation
H Dai, Z Liu, W Liao, X Huang, Y Cao, Z Wu, L Zhao, S Xu, W Liu, N Liu, ...
arXiv preprint arXiv:2302.13007, 2023
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
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
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, 2318-2325, 2011
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, 5590-5599, 2019
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
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
Causalcall: Nanopore basecalling using a temporal convolutional network
J Zeng, H Cai, H Peng, H Wang, Y Zhang, T Akutsu
Frontiers in Genetics 10, 1332, 2020
Differentiating ChatGPT-generated and human-written medical texts: quantitative study
W Liao, Z Liu, H Dai, S Xu, Z Wu, Y Zhang, X Huang, D Zhu, H Cai, Q Li, ...
JMIR Medical Education 9 (1), e48904, 2023
Spatially-invariant style-codes controlled makeup transfer
H Deng, C Han, H Cai, G Han, S He
Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2021
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, 1-12, 2014
Feature weight estimation for gene selection: a local hyperlinear learning approach
H Cai, P Ruan, M Ng, T Akutsu
BMC bioinformatics 15, 1-13, 2014
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
Classification of COVID-19 by compressed chest CT image through deep learning on a large patients cohort
Z Zhu, Z Xingming, G Tao, T Dan, J Li, X Chen, Y Li, Z Zhou, X Zhang, ...
Interdisciplinary Sciences: Computational Life Sciences 13, 73-82, 2021
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