J. T. Kwak

发表

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..

Multimodal microscopy for automated histologic analysis of prostate cancer

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

Improving Prediction of Prostate Cancer Recurrence using Chemical Imaging

R. Bhargava, S. Sinha, J. T. Kwak, 2015, Scientific Reports.

Analysis of variance in spectroscopic imaging data from human tissues.

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

SONNET: A Self-Guided Ordinal Regression Neural Network for Segmentation and Classification of Nuclei in Large-Scale Multi-Tissue Histology Images

J. T. Kwak, Kyungeun Kim, T. Doan, 2022, IEEE Journal of Biomedical and Health Informatics.

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.

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.

Prostate Cancer Detection Using Temporal Enhanced Ultrasound

P. Choyke, P. Pinto, Sheng Xu, 2020 .

Unsupervised Tumor Characterization via Conditional Generative Adversarial Networks

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

A 3D Multi-task Regression and Ordinal Regression Deep Neural Network for Collateral Imaging from Dynamic Susceptibility Contrast-Enhanced MR perfusion in Acute Ischemic Stroke

Hoang Long Le, Hyun Jeong Kim, J. T. Kwak, 2022, Comput. Methods Programs Biomed..

Prediction of Epstein-Barr Virus Status in Gastric Cancer Biopsy Specimens Using a Deep Learning Algorithm

J. T. Kwak, Kyungeun Kim, Boram Song, 2022, JAMA network open.

RETRACTED ARTICLE: Biparametric MR signal characteristics can predict histopathological measures of prostate cancer

Minh Nguyen Nhat To, J. T. Kwak, 2022, European Radiology.

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

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

Is Visual Registration Equivalent to Semiautomated Registration in Prostate Biopsy?

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

Methods for Segmentation and Classification of Digital Microscopy Tissue Images

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

Stromal-epithelial responses to fractionated radiotherapy in a breast cancer microenvironment

M. Insana, J. T. Kwak, M. Qayyum, 2015, Cancer Cell International.

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..

Semi-supervised learning for an improved diagnosis of COVID-19 in CT images

Chang Hee Han, J. T. Kwak, Misuk Kim, 2021, PloS one.

BACH: Grand Challenge on Breast Cancer Histology Images

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

Automated prostate tissue referencing for cancer detection and diagnosis

S. Hewitt, R. Bhargava, S. Sinha, 2016, BMC Bioinformatics.

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.

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.

IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue Classification

J. T. Kwak, N. Rajpoot, S. Graham, 2022, ECCV Workshops.

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting

Angelica I. Avilés-Rivero, Josef Lorenz Rumberger, Marcel P. Schilling, 2023, ArXiv.

A Multi-Organ Nucleus Segmentation Challenge

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

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.

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

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

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.

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.

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

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

Multi-Scale Binary Pattern Encoding Network for Cancer Classification in Pathology Images

J. T. Kwak, Kyungeun Kim, Y. Cho, 2021, IEEE Journal of Biomedical and Health Informatics.

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

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

Efficient data mining for local binary pattern in texture image analysis

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

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

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

Stromal-epithelial responses to fractionated radiotherapy in a breast cancer microenvironment

M. Insana, J. T. Kwak, M. Qayyum, 2015, Cancer Cell International.

High-definition Fourier transform infrared spectroscopic imaging of prostate tissue

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

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.

A novel dataset and efficient deep learning framework for automated grading of renal cell carcinoma from kidney histopathology images

Amit Kumar Chanchal, J. T. Kwak, S. Lal, 2023, Scientific Reports.

Nucleus detection using gradient orientation information and linear least squares regression

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

Nuclear Architecture Analysis of Prostate Cancer via Convolutional Neural Networks

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

Multiview boosting digital pathology analysis of prostate cancer

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

GradMix for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets

J. T. Kwak, Kyungeun Kim, Boram Song, 2022, International Conference on Medical Image Computing and Computer-Assisted Intervention.

Lumen-based detection of prostate cancer via convolutional neural networks

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

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).

PAIP 2020: Microsatellite instability prediction in colorectal cancer.

Dong Un Kang, Chang Hee Han, K. Moon, 2023, Medical image analysis.

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.

MoMA: Momentum Contrastive Learning with Multi-head Attention-based Knowledge Distillation for Histopathology Image Analysis

J. T. Kwak, T. Vuong, 2023, ArXiv.

The collateral map: prediction of lesion growth and penumbra after acute anterior circulation ischemic stroke.

Hyun Jeong Kim, J. T. Kwak, I. S. Kim, 2023, European radiology.

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.

BACH: Grand challenge on breast cancer histology images

Sai Saketh Chennamsetty, Minh Nguyen Nhat To, Maximilian Baust, 2018, Medical Image Anal..

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.

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.

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

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

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.

Joint categorical and ordinal learning for cancer grading in pathology images

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

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.

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

Syed Ibrahim Hassan, J. T. Kwak, H. Park, 2017 .

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..

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).

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.