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Jin Tae Kwak

Showing results (1-10 of 53) with videos related to

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Computers in Biology and Medicine|August 19, 2025
NucleiMix: Realistic data augmentation for nuclei instance segmentationJiamu Wang, Jin Tae Kwak
Computer Methods and Programs in Biomedicine|March 23, 2017
Multiview boosting digital pathology analysis of prostate cancerJin Tae Kwak, Stephen M Hewitt
Computer Methods and Programs in Biomedicine|May 4, 2019
A dense multi-path decoder for tissue segmentation in histopathology imagesQuoc Dang Vu, Jin Tae Kwak
European Radiology|May 3, 2022
Biparametric MR signal characteristics can predict histopathological measures of prostate cancerMinh Nguyen Nhat To, Jin Tae Kwak
European Radiology|July 31, 2023
Retraction Note: Biparametric MR signal characteristics can predict histopathological measures of prostate cancerMinh Nguyen Nhat To, Jin Tae Kwak
Medical Image Analysis|December 13, 2024
MoMA: Momentum contrastive learning with multi-head attention-based knowledge distillation for histopathology image analysisTrinh Thi Le Vuong, Jin Tae Kwak
Expert Systems with Applications|March 14, 2015
Efficient Data Mining for Local Binary Pattern in Texture Image AnalysisJin Tae Kwak, Sheng Xu, Bradford J Wood
Plos One|April 1, 2021
Semi-supervised learning for an improved diagnosis of COVID-19 in CT imagesChang Hee Han, Misuk Kim, Jin Tae Kwak
IEEE Journal of Biomedical and Health Informatics|May 13, 2020
Unsupervised Tumor Characterization via Conditional Generative Adversarial NetworksQuoc Dang Vu, Kyungeun Kim, Jin Tae Kwak
Analytical Chemistry|December 14, 2011
Analysis of variance in spectroscopic imaging data from human tissuesJin Tae Kwak, Rohith Reddy, Saurabh Sinha, et al.
Pageof 6

Showing results (1-10 of 53) with videos related to

Sort By:
Pageof 6
Computers in Biology and Medicine|August 19, 2025
NucleiMix: Realistic data augmentation for nuclei instance segmentationJiamu Wang, Jin Tae Kwak
Computer Methods and Programs in Biomedicine|March 23, 2017
Multiview boosting digital pathology analysis of prostate cancerJin Tae Kwak, Stephen M Hewitt
Computer Methods and Programs in Biomedicine|May 4, 2019
A dense multi-path decoder for tissue segmentation in histopathology imagesQuoc Dang Vu, Jin Tae Kwak
European Radiology|May 3, 2022
Biparametric MR signal characteristics can predict histopathological measures of prostate cancerMinh Nguyen Nhat To, Jin Tae Kwak
European Radiology|July 31, 2023
Retraction Note: Biparametric MR signal characteristics can predict histopathological measures of prostate cancerMinh Nguyen Nhat To, Jin Tae Kwak
Medical Image Analysis|December 13, 2024
MoMA: Momentum contrastive learning with multi-head attention-based knowledge distillation for histopathology image analysisTrinh Thi Le Vuong, Jin Tae Kwak
Expert Systems with Applications|March 14, 2015
Efficient Data Mining for Local Binary Pattern in Texture Image AnalysisJin Tae Kwak, Sheng Xu, Bradford J Wood
Plos One|April 1, 2021
Semi-supervised learning for an improved diagnosis of COVID-19 in CT imagesChang Hee Han, Misuk Kim, Jin Tae Kwak
IEEE Journal of Biomedical and Health Informatics|May 13, 2020
Unsupervised Tumor Characterization via Conditional Generative Adversarial NetworksQuoc Dang Vu, Kyungeun Kim, Jin Tae Kwak
Analytical Chemistry|December 14, 2011
Analysis of variance in spectroscopic imaging data from human tissuesJin Tae Kwak, Rohith Reddy, Saurabh Sinha, et al.
Pageof 6