Jin Tae Kwak

发表

Classifying Cancer Grades Using Temporal Ultrasound for Transrectal Prostate Biopsy

Purang Abolmaesumi, Shekoofeh Azizi, Farhad Imani, 2016, MICCAI.

Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images

Ronald M. Summers, Jin Tae Kwak, Baris Turkbey, 2017, Medical Imaging.

Convolutional Neural Networks for Prostate Cancer Detection

Jin Tae Kwak, 2017 .

Multi-task Deep Learning for Colon Cancer Grading

Jin Tae Kwak, Thi Le Trinh Vuong, Daigeun Lee, 2020, 2020 International Conference on Electronics, Information, and Communication (ICEIC).

Quantitative assessment of colorectal cancer via conditional generative adversarial networks

Jin Tae Kwak, Kyungeun Kim, Quoc Dang Vu, 2019 .

Fusarium Wilt of Radish Detection Using RGB and Near Infrared Images from Unmanned Aerial Vehicles

Jin Tae Kwak, Hyeonjoon Moon, L. Minh Dang, 2020, Remote. Sens..

Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images

Jin Tae Kwak, Nasir M. Rajpoot, Quoc Dang Vu, 2018, Medical Image Anal..

Deep convolution and up-convolution network for plant segmentation

Jin Tae Kwak, Hyeonjoon Moon, Suhyeon Im, 2018, 2018 International Conference on Electronics, Information, and Communication (ICEIC).

A new segmentation framework for infrared spectroscopic imaging using frequent pattern mining

Jin Tae Kwak, Saurabh Sinha, Rohit Bhargava, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

BACH: Grand Challenge on Breast Cancer Histology Images

Catarina Eloy, Jin Tae Kwak, Maximilian Baust, 2018, Medical Image Anal..

Augmenting MRI–transrectal ultrasound-guided prostate biopsy with temporal ultrasound data: a clinical feasibility study

Purang Abolmaesumi, Farhad Imani, Jin Tae Kwak, 2015, International Journal of Computer Assisted Radiology and Surgery.

Nuclear Architecture Analysis of Prostate Cancer via Convolutional Neural Networks

Jin Tae Kwak, Stephen M. Hewitt, S. Hewitt, 2017, IEEE Access.

Deep neural maps for unsupervised visualization of high-grade cancer in prostate biopsies

Purang Abolmaesumi, Shekoofeh Azizi, Jin Tae Kwak, 2019, International Journal of Computer Assisted Radiology and Surgery.

Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound

Purang Abolmaesumi, Shekoofeh Azizi, Jin Tae Kwak, 2018, IEEE Transactions on Medical Imaging.

Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRI

Ronald M. Summers, Nathan Lay, Jin Tae Kwak, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Deep Neural Networks for Korean Fonts Generation

Jin Tae Kwak, Daigeun Lee, 2020, 2020 International Conference on Electronics, Information, and Communication (ICEIC).

Deep Learning Framework for Epithelium Density Estimation in Prostate Multi-Parametric Magnetic Resonance Imaging

Jin Tae Kwak, Sheng Xu, Baris Turkbey, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Methods for Segmentation and Classification of Digital Microscopy Tissue Images

Joel H. Saltz, Jin Tae Kwak, Nasir M. Rajpoot, 2018, Front. Bioeng. Biotechnol..

Scale embedding shared neural networks for multiscale histological analysis of prostate cancer

Jin Tae Kwak, Stephen M. Hewitt, Daigeun Lee, 2019, Medical Imaging.

Nucleus detection using gradient orientation information and linear least squares regression

Jin Tae Kwak, Sheng Xu, Peter A. Pinto, 2015, Medical Imaging.

Lumen-based detection of prostate cancer via convolutional neural networks

Jin Tae Kwak, Stephen M. Hewitt, S. Hewitt, 2017, Medical Imaging.

A Multi-Organ Nucleus Segmentation Challenge

Hao Chen, Minh-Triet Tran, Alison Q. O'Neil, 2020, IEEE Transactions on Medical Imaging.

Detection of prostate cancer in multiparametric MRI using random forest with instance weighting

Nathan Lay, Jin Tae Kwak, Baris Turkbey, 2017, Journal of medical imaging.

Improving Dense Pixelwise Prediction of Epithelial Density Using Unsupervised Data Augmentation for Consistency Regularization

María Merino, Jin Tae Kwak, Peter A. Pinto, 2020, MICCAI.

Correlation of magnetic resonance imaging with digital histopathology in prostate

María Merino, Jin Tae Kwak, Sheng Xu, 2016, International Journal of Computer Assisted Radiology and Surgery.

Transfer learning from RF to B-mode temporal enhanced ultrasound features for prostate cancer detection

Purang Abolmaesumi, Shekoofeh Azizi, Jin Tae Kwak, 2017, International Journal of Computer Assisted Radiology and Surgery.

A dense multi-path decoder for tissue segmentation in histopathology images

Jin Tae Kwak, Quoc Dang Vu, J. T. Kwak, 2019, Comput. Methods Programs Biomed..

Efficient data mining for local binary pattern in texture image analysis

Jin Tae Kwak, Sheng Xu, Bradford J. Wood, 2015, Expert Syst. Appl..

Deep regression neural networks for collateral imaging from dynamic susceptibility contrast-enhanced magnetic resonance perfusion in acute ischemic stroke

Jin Tae Kwak, Minh Nguyen Nhat To, Hyun Jeong Kim, 2019, International Journal of Computer Assisted Radiology and Surgery.

Deep dense multi-path neural network for prostate segmentation in magnetic resonance imaging

Jin Tae Kwak, Baris Turkbey, Peter L. Choyke, 2018, International Journal of Computer Assisted Radiology and Surgery.

Toward a real-time system for temporal enhanced ultrasound-guided prostate biopsy

Ming Li, Purang Abolmaesumi, Shekoofeh Azizi, 2018, International Journal of Computer Assisted Radiology and Surgery.

Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations

Purang Abolmaesumi, Shekoofeh Azizi, Jin Tae Kwak, 2017, International Journal of Computer Assisted Radiology and Surgery.

XY Network for Nuclear Segmentation in Multi-Tissue Histology Images pdf

Jin Tae Kwak, Nasir M. Rajpoot, Quoc Dang Vu, 2018, ArXiv.

Learning from Noisy Label Statistics: Detecting High Grade Prostate Cancer in Ultrasound Guided Biopsy

Purang Abolmaesumi, Shekoofeh Azizi, Jin Tae Kwak, 2018, MICCAI.

Ultrasound-Based Predication of Prostate Cancer in MRI-guided Biopsy

Purang Abolmaesumi, Farhad Imani, Jin Tae Kwak, 2014, CLIP@MICCAI.

Unsupervised Tumor Characterization via Conditional Generative Adversarial Networks

Jin Tae Kwak, Quoc Dang Vu, Kyungeun Kim, 2020, IEEE Journal of Biomedical and Health Informatics.

High-definition Fourier transform infrared spectroscopic imaging of prostate tissue

Jin Tae Kwak, Rohit Bhargava, Andre Kadjacsy-Balla, 2016, SPIE Medical Imaging.

A multiview boosting approach to tissue segmentation

Jin Tae Kwak, Sheng Xu, Baris Turkbey, 2014, Medical Imaging.

Automated prostate tissue referencing for cancer detection and diagnosis

Jin Tae Kwak, Saurabh Sinha, Stephen M. Hewitt, 2016, BMC Bioinformatics.

Detection of prostate cancer using temporal sequences of ultrasound data: a large clinical feasibility study

Purang Abolmaesumi, Shekoofeh Azizi, Farhad Imani, 2016, International Journal of Computer Assisted Radiology and Surgery.

Leukocytes Classification and Segmentation in Microscopic Blood Smear: A Resource-Aware Healthcare Service in Smart Cities

Sung Wook Baik, Seungmin Rho, Jin Tae Kwak, 2017, IEEE Access.

Multiview boosting digital pathology analysis of prostate cancer

Jin Tae Kwak, Stephen M. Hewitt, S. Hewitt, 2017, Comput. Methods Programs Biomed..

Deep convolutional neural network for classifying Fusarium wilt of radish from unmanned aerial vehicles

Jin Tae Kwak, Hyeonjoon Moon, Minh Dang, 2017 .

Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound

Parvin Mousavi, Purang Abolmaesumi, William M. Wells, 2020, International Journal of Computer Assisted Radiology and Surgery.

Micro and Macro Breast Histology Image Analysis by Partial Network Re-use

Jin Tae Kwak, Quoc Dang Vu, Eal Kim, 2018, ICIAR.

Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks

Purang Abolmaesumi, Shekoofeh Azizi, Farhad Imani, 2015, MICCAI.

Dual-Encoding Style Transfer for Korean Font Generation

Jin Tae Kwak, Daigeun Lee, 2021, 2021 International Conference on Information and Communication Technology Convergence (ICTC).

Joint categorical and ordinal learning for cancer grading in pathology images

Jin Tae Kwak, Boram Song, Trinh Thi Le Vuong, 2021, Medical Image Anal..

Distance ordinal regression loss for an improved nuclei segmentation

Jin Tae Kwak, Chang Hee Han, Tan Nhu Nhat Doan, 2021, Medical Imaging.

3-D multitask deep neural networks for collateral imaging from dynamic susceptibility contrast-enhanced magnetic resonance perfusion

Jin Tae Kwak, Yejin Jeon, Hong Gee Roh, 2021, Medical Imaging.

Ranking Loss: A Ranking-Based Deep Neural Network for Colorectal Cancer Grading in Pathology Images

Jin Tae Kwak, Boram Song, Trinh Thi Le Vuong, 2021, MICCAI.

Prostate Cancer: A Correlative Study of Multiparametric MR Imaging and Digital Histopathology.

Jin Tae Kwak, Baris Turkbey, Sandeep Sankineni, 2017, Radiology.

Analysis of variance in spectroscopic imaging data from human tissues.

Saurabh Sinha, Jin Tae Kwak, Rohit Bhargava, 2012, Analytical chemistry.

Multimodal microscopy for automated histologic analysis of prostate cancer

Jin Tae Kwak, Saurabh Sinha, Rohit Bhargava, 2011, BMC Cancer.

Is Visual Registration Equivalent to Semiautomated Registration in Prostate Biopsy?

Jin Tae Kwak, Pingkun Yan, Baris Turkbey, 2015, BioMed research international.

Automated prostate cancer detection using T2-weighted and high-b-value diffusion-weighted magnetic resonance imaging.

Jin Tae Kwak, Baris Turkbey, Shijun Wang, 2015, Medical physics.