A new segmentation framework for infrared spectroscopic imaging using frequent pattern mining. - Jin Tae Kwak; Saurabh Sinha; Rohit Bhargava (ISBI, 2011)

Computational methods for cancer diagnosis and prognosis from FT-IR spectroscopy data - Jin Tae Kwak (2012)

Ultrasound-Based Predication of Prostate Cancer in MRI-guided Biopsy. - Nishant Uniyal; Farhad Imani; Amir M. Tahmasebi; Harsh K. Agarwal; Shyam Bharat; Pingkun Yan; Jochen Kruecker; Jin Tae Kwak; Sheng Xu 001; Bradford J. Wood; Peter A. Pinto; Baris Turkbey; et al. (CLIP@MICCAI, 2014)

A multiview boosting approach to tissue segmentation. - Jin Tae Kwak; Sheng Xu 001; Peter A. Pinto; Baris Turkbey; Marcelino Bernardo; Peter L. Choyke; Bradford J. Wood (Digital Pathology, 2014)

Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks. - Shekoofeh Azizi; Farhad Imani; Bo Zhuang; Amir M. Tahmasebi; Jin Tae Kwak; Sheng Xu 001; Nishant Uniyal; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Mehdi Moradi; et al. (MICCAI (2), 2015)

Nucleus detection using gradient orientation information and linear least squares regression. - Jin Tae Kwak; Stephen M. Hewitt; Sheng Xu 001; Peter A. Pinto; Bradford J. Wood (Digital Pathology, 2015)

Augmenting MRI-transrectal ultrasound-guided prostate biopsy with temporal ultrasound data: a clinical feasibility study. - Farhad Imani; Bo Zhuang; Amir M. Tahmasebi; Jin Tae Kwak; Sheng Xu 001; Harsh K. Agarwal; Shyam Bharat; Nishant Uniyal; Ismail Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; et al. (Int. J. Comput. Assist. Radiol. Surg., 2015)

Efficient data mining for local binary pattern in texture image analysis. - Jin Tae Kwak; Sheng Xu 001; Bradford J. Wood (Expert Syst. Appl., 2015)

Classifying Cancer Grades Using Temporal Ultrasound for Transrectal Prostate Biopsy. - Shekoofeh Azizi; Farhad Imani; Jin Tae Kwak; Amir M. Tahmasebi; Sheng Xu 001; Pingkun Yan; Jochen Kruecker; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Parvin Mousavi; et al. (MICCAI (1), 2016)

High-definition Fourier transform infrared spectroscopic imaging of prostate tissue. - Tomasz P. Wrobel; Jin Tae Kwak; Andre Kadjacsy-Balla; Rohit Bhargava (Digital Pathology, 2016)

Automated prostate tissue referencing for cancer detection and diagnosis. - Jin Tae Kwak; Stephen M. Hewitt; André Alexander Kajdacsy-Balla; Saurabh Sinha; Rohit Bhargava (BMC Bioinform., 2016)

Detection of prostate cancer using temporal sequences of ultrasound data: a large clinical feasibility study. - Shekoofeh Azizi; Farhad Imani; Sahar Ghavidel; Amir M. Tahmasebi; Jin Tae Kwak; Sheng Xu 001; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Parvin Mousavi; Purang Abolmaesumi (Int. J. Comput. Assist. Radiol. Surg., 2016)

Correlation of magnetic resonance imaging with digital histopathology in prostate. - Jin Tae Kwak; Sandeep Sankineni; Sheng Xu 001; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; María Merino 002; Bradford J. Wood (Int. J. Comput. Assist. Radiol. Surg., 2016)

Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRI. - Yohannes Tsehay; Nathan Lay; Xiaosong Wang 001; Jin Tae Kwak; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Ronald M. Summers (ISBI, 2017)

Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images. - Yohannes K. Tsehay; Nathan S. Lay; Holger R. Roth; Xiaosong Wang 001; Jin Tae Kwak; Baris Turkbey; Peter A. Pinto; Bradford J. Wood; Ronald M. Summers (Computer-Aided Diagnosis, 2017)

Lumen-based detection of prostate cancer via convolutional neural networks. - Jin Tae Kwak; Stephen M. Hewitt (Digital Pathology, 2017)

Nuclear Architecture Analysis of Prostate Cancer via Convolutional Neural Networks. - Jin Tae Kwak; Stephen M. Hewitt (IEEE Access, 2017)

Leukocytes Classification and Segmentation in Microscopic Blood Smear: A Resource-Aware Healthcare Service in Smart Cities. - Muhammad Sajjad; Siraj Khan; Zahoor Jan; Khan Muhammad 001; Hyeonjoon Moon; Jin Tae Kwak; Seungmin Rho; Sung Wook Baik; Irfan Mehmood (IEEE Access, 2017)

Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations. - Shekoofeh Azizi; Sharareh Bayat; Pingkun Yan; Amir M. Tahmasebi; Guy Nir; Jin Tae Kwak; Sheng Xu 001; Storey Wilson; Kenneth A. Iczkowski; M. Scott Lucia; Larry Goldenberg; Septimiu E. Salcudean; et al. (Int. J. Comput. Assist. Radiol. Surg., 2017)

Transfer learning from RF to B-mode temporal enhanced ultrasound features for prostate cancer detection. - Shekoofeh Azizi; Parvin Mousavi; Pingkun Yan; Amir M. Tahmasebi; Jin Tae Kwak; Sheng Xu 001; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Purang Abolmaesumi (Int. J. Comput. Assist. Radiol. Surg., 2017)

Multiview boosting digital pathology analysis of prostate cancer. - Jin Tae Kwak; Stephen M. Hewitt (Comput. Methods Programs Biomed., 2017)

Micro and Macro Breast Histology Image Analysis by Partial Network Re-use. - Quoc Dang Vu; Minh Nguyen Nhat To; Eal Kim; Jin Tae Kwak (ICIAR, 2018)

Learning from Noisy Label Statistics: Detecting High Grade Prostate Cancer in Ultrasound Guided Biopsy. - Shekoofeh Azizi; Pingkun Yan; Amir M. Tahmasebi; Peter A. Pinto; Bradford J. Wood; Jin Tae Kwak; Sheng Xu 001; Baris Turkbey; Peter L. Choyke; Parvin Mousavi; Purang Abolmaesumi (MICCAI (4), 2018)

Toward a real-time system for temporal enhanced ultrasound-guided prostate biopsy. - Shekoofeh Azizi; Nathan Van Woudenberg; Samira Sojoudi; Ming Li 052; Sheng Xu 001; Emran Mohammad Abu Anas; Pingkun Yan; Amir M. Tahmasebi; Jin Tae Kwak; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; et al. (Int. J. Comput. Assist. Radiol. Surg., 2018)

Deep dense multi-path neural network for prostate segmentation in magnetic resonance imaging. - Minh Nguyen Nhat To; Quoc Dang Vu; Baris Turkbey; Peter L. Choyke; Jin Tae Kwak (Int. J. Comput. Assist. Radiol. Surg., 2018)

BACH: Grand Challenge on Breast Cancer Histology Images. - Guilherme Aresta; Teresa Araújo; Scotty Kwok; Sai Saketh Chennamsetty; Mohammed Safwan K. P.; Alex Varghese; Bahram Marami; Marcel Prastawa; Monica Chan; Michael J. Donovan; Gerardo Fernandez; Jack Zeineh; et al. (CoRR, 2018)

Methods for Segmentation and Classification of Digital Microscopy Tissue Images. - Quoc Dang Vu; Simon Graham; Minh Nguyen Nhat To; Muhammad Shaban; Talha Qaiser; Navid Alemi Koohbanani; Syed Ali Khurram; Tahsin M. Kurç; Keyvan Farahani; Tianhao Zhao; Rajarsi R. Gupta; Jin Tae Kwak; et al. (CoRR, 2018)

XY Network for Nuclear Segmentation in Multi-Tissue Histology Images. - Simon Graham; Quoc Dang Vu; Shan E Ahmed Raza; Jin Tae Kwak; Nasir M. Rajpoot (CoRR, 2018)

Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound. - Shekoofeh Azizi; Sharareh Bayat; Pingkun Yan; Amir Tahmasebi; Jin Tae Kwak; Sheng Xu 001; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Parvin Mousavi; Purang Abolmaesumi (IEEE Trans. Medical Imaging, 2018)

Scale embedding shared neural networks for multiscale histological analysis of prostate cancer. - Quy Dinh Duong; Quoc Dang Vu; Daigeun Lee; Stephen M. Hewitt; Kyungeun Kim; Jin Tae Kwak (Digital Pathology, 2019)

Deep neural maps for unsupervised visualization of high-grade cancer in prostate biopsies. - Alireza Sedghi; Mehran Pesteie; Golara Javadi; Shekoofeh Azizi; Pingkun Yan; Jin Tae Kwak; Sheng Xu 001; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Robert Rohling; et al. (Int. J. Comput. Assist. Radiol. Surg., 2019)

A dense multi-path decoder for tissue segmentation in histopathology images. - Quoc Dang Vu; Jin Tae Kwak (Comput. Methods Programs Biomed., 2019)

Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images. - Simon Graham; Quoc Dang Vu; Shan E Ahmed Raza; Ayesha Azam; Yee-Wah Tsang; Jin Tae Kwak; Nasir M. Rajpoot (Medical Image Anal., 2019)

Deep Learning Framework for Epithelium Density Estimation in Prostate Multi-Parametric Magnetic Resonance Imaging. - Minh Nguyen Nhat To; Sandeep Sankineni; Sheng Xu 001; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Vanessa Moreno; María Merino 002; Bradford J. Wood; Jin Tae Kwak (ISBI, 2020)

Improving Dense Pixelwise Prediction of Epithelial Density Using Unsupervised Data Augmentation for Consistency Regularization. - Minh Nguyen Nhat To; Sandeep Sankineni; Sheng Xu 001; Baris Turkbey; Peter A. Pinto; Vanessa Moreno; María Merino 002; Bradford J. Wood; Jin Tae Kwak (MICCAI (1), 2020)

Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound. - Alireza Sedghi; Alireza Mehrtash; Amoon Jamzad; Amel Amalou; William M. Wells III; Tina Kapur; Jin Tae Kwak; Baris Turkbey; Peter L. Choyke; Peter A. Pinto; Bradford J. Wood; Sheng Xu 001; et al. (Int. J. Comput. Assist. Radiol. Surg., 2020)

Deep regression neural networks for collateral imaging from dynamic susceptibility contrast-enhanced magnetic resonance perfusion in acute ischemic stroke. - Minh Nguyen Nhat To; Hyun Jeong Kim; Hong Gee Roh; Yoon-Sik Cho; Jin Tae Kwak (Int. J. Comput. Assist. Radiol. Surg., 2020)

Fusarium Wilt of Radish Detection Using RGB and Near Infrared Images from Unmanned Aerial Vehicles. - Lien Minh Dang; Hanxiang Wang; Yanfen Li; Kyungbok Min; Jin Tae Kwak; O. New Lee; Hanyong Park; Hyeonjoon Moon (Remote. Sens., 2020)

A Multi-Organ Nucleus Segmentation Challenge. - Neeraj Kumar 002; Ruchika Verma; Deepak Anand; Yanning Zhou 001; Omer Fahri Onder; Efstratios Tsougenis; Hao Chen 011; Pheng-Ann Heng; Jiahui Li 005; Zhiqiang Hu; Yunzhi Wang; Navid Alemi Koohbanani; et al. (IEEE Trans. Medical Imaging, 2020)

Dual-Encoding Style Transfer for Korean Font Generation. - Daigeun Lee; Jin Tae Kwak (ICTC, 2021)

3-D multitask deep neural networks for collateral imaging from dynamic susceptibility contrast-enhanced magnetic resonance perfusion. - Hoang Long Le; Yejin Jeon; Hong Gee Roh; Hyun Jeong Kim; Jin Tae Kwak (Computer-Aided Diagnosis, 2021)

Ranking Loss: A Ranking-Based Deep Neural Network for Colorectal Cancer Grading in Pathology Images. - Trinh Thi Le Vuong; Kyungeun Kim; Boram Song; Jin Tae Kwak (MICCAI (8), 2021)

Distance ordinal regression loss for an improved nuclei segmentation. - Tan Nhu Nhat Doan; Chang Hee Han; Jin Tae Kwak (Digital Pathology, 2021)

Joint categorical and ordinal learning for cancer grading in pathology images. - Trinh Thi Le Vuong; Kyungeun Kim; Boram Song; Jin Tae Kwak (Medical Image Anal., 2021)

Unsupervised Tumor Characterization via Conditional Generative Adversarial Networks. - Quoc Dang Vu; Kyungeun Kim; Jin Tae Kwak (IEEE J. Biomed. Health Informatics, 2021)

IMPaSh: A Novel Domain-Shift Resistant Representation for Colorectal Cancer Tissue Classification. - Trinh Thi Le Vuong; Quoc Dang Vu; Mostafa Jahanifar; Simon Graham; Jin Tae Kwak; Nasir M. Rajpoot (ECCV Workshops (3), 2022)

GradMix for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets. - Tan N. N. Doan; Kyungeun Kim; Boram Song; Jin Tae Kwak (MICCAI (2), 2022)

A hybrid computational pathology method for the detection of perineural invasion junctions. - Chang Hee Han; Jin Tae Kwak (Digital and Computational Pathology, 2022)

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; Hong Gee Roh; Hyun Jeong Kim; Jin Tae Kwak (Comput. Methods Programs Biomed., 2022)

SONNET: A Self-Guided Ordinal Regression Neural Network for Segmentation and Classification of Nuclei in Large-Scale Multi-Tissue Histology Images. - Tan N. N. Doan; Boram Song; Trinh Thi Le Vuong; Kyungeun Kim; Jin Tae Kwak (IEEE J. Biomed. Health Informatics, 2022)

Multi-Scale Binary Pattern Encoding Network for Cancer Classification in Pathology Images. - Trinh Thi Le Vuong; Boram Song; Kyungeun Kim; Yong M. Cho; Jin Tae Kwak (IEEE J. Biomed. Health Informatics, 2022)

Order-ViT: Order Learning Vision Transformer for Cancer Classification in Pathology Images. - Ju Cheon Lee; Jin Tae Kwak (ICCV (Workshops), 2023)

Centroid-Aware Feature Recalibration for Cancer Grading in Pathology Images. - Jaeung Lee; Keunho Byeon; Jin Tae Kwak (MICCAI (2), 2023)

GPC: Generative and General Pathology Image Classifier. - Anh Tien Nguyen; Jin Tae Kwak (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

QuIIL at T3 Challenge: Towards Automation in Life-Saving Intervention Procedures from First-Person View. - Trinh Thi Le Vuong; Doanh C. Bui; Jin Tae Kwak (BONBID-HIE@MICCAI, 2023)

Boosting Knowledge Distillation via Random Fourier Features for Prostate Cancer Grading in Histopathology Images. - Trinh Thi Le Vuong; Jin Tae Kwak (DART@MICCAI, 2023)

Quintet margin loss for an improved knowledge distillation in histopathology image analysis. - Trinh Thi Le Vuong; Jin Tae Kwak (Digital and Computational Pathology, 2023)

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. - Simon Graham; Quoc Dang Vu; Mostafa Jahanifar; Martin Weigert 001; Uwe Schmidt; Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Jinxi Xiang; Xiyue Wang; Josef Lorenz Rumberger; Elias Baumann; et al. (CoRR, 2023)

PAIP 2020: Microsatellite instability prediction in colorectal cancer. - Kyungmo Kim; Kyoungbun Lee; Sungduk Cho; Dong Un Kang; Seongkeun Park; Yunsook Kang; Hyunjeong Kim; Gheeyoung Choe; Kyung Chul Moon; Kyu Sang Lee; Jeong Hwan Park; Choyeon Hong; et al. (Medical Image Anal., 2023)

CaMeL-Net: Centroid-aware metric learning for efficient multi-class cancer classification in pathology images. - Jaeung Lee; Chiwon Han; Kyungeun Kim; Giho Park; Jin Tae Kwak (Comput. Methods Programs Biomed., 2023)

Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images. - Syed Farhan Abbas; Trinh Thi Le Vuong; Kyungeun Kim; Boram Song; Jin Tae Kwak (Medical Image Anal., 2023)

MECFormer: Multi-task Whole Slide Image Classification with Expert Consultation Network. - Doanh C. Bui; Jin Tae Kwak (ACCV (2), 2024)

FALFormer: Feature-Aware Landmarks Self-attention for Whole-Slide Image Classification. - Doanh C. Bui; Trinh Thi Le Vuong; Jin Tae Kwak (MICCAI (4), 2024)

Towards a Text-Based Quantitative and Explainable Histopathology Image Analysis. - Anh Tien Nguyen; Trinh Thi Le Vuong; Jin Tae Kwak (MICCAI (4), 2024)

USegMix: Unsupervised Segment Mix for Efficient Data Augmentation in Pathology Images. - Jiamu Wang; Jin Tae Kwak (DEMI@MICCAI, 2024)

DAX-Net: A dual-branch dual-task adaptive cross-weight feature fusion network for robust multi-class cancer classification in pathology images. - Doanh C. Bui; Boram Song; Kyungeun Kim; Jin Tae Kwak (Comput. Methods Programs Biomed., 2024)

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. - Hongwei Bran Li; Fernando Navarro; Ivan Ezhov; Amirhossein Bayat; Dhritiman Das; Florian Kofler; Suprosanna Shit; Diana Waldmannstetter; Johannes C. Paetzold; Xiaobin Hu; Benedikt Wiestler; Lucas Zimmer; et al. (CoRR, 2024)

CAMP: Continuous and Adaptive Learning Model in Pathology. - Anh Tien Nguyen; Keunho Byeon; Kyungeun Kim; Boram Song; Seoung Wan Chae; Jin Tae Kwak (CoRR, 2024)

Benchmarking Pathology Foundation Models: Adaptation Strategies and Scenarios. - Jeaung Lee; Jeewoo Lim; Keunho Byeon; Jin Tae Kwak (CoRR, 2024)

NucleiMix: Realistic Data Augmentation for Nuclei Instance Segmentation. - Jiamu Wang; Jin Tae Kwak (CoRR, 2024)

3D mobile regression vision transformer for collateral imaging in acute ischemic stroke. - Sumin Jung; Hyun Yang; Hyun Jeong Kim; Hong Gee Roh; Jin Tae Kwak (Int. J. Comput. Assist. Radiol. Surg., 2024)

Lightweight Look-ahead Multi-context Vision Transformer. - Keunho Byeon; Jeewoo Lim; Jaeung Lee; Chiwon Han; SungYun Bay; Giho Park; Jin Tae Kwak (ICEIC, 2025)

Benchmarking pathology foundation models: Adaptation strategies and scenarios. - Jaeung Lee; Jeewoo Lim; Keunho Byeon; Jin Tae Kwak (Comput. Biol. Medicine, 2025)

DeLECA: Deblurring for Long and short Exposure images with a dual-branch multimodal cross attention mechanism. - Keunho Byeon; Jeewoo Lim; Jin Tae Kwak (ICT Express, 2025)

DIOR-ViT: Differential ordinal learning Vision Transformer for cancer classification in pathology images. - Ju Cheon Lee; Keunho Byeon; Boram Song; Kyungeun Kim; Jin Tae Kwak (Medical Image Anal., 2025)

MoMA: Momentum contrastive learning with multi-head attention-based knowledge distillation for histopathology image analysis. - Trinh Thi Le Vuong; Jin Tae Kwak (Medical Image Anal., 2025)

Spatially-Constrained and -Unconstrained Bi-Graph Interaction Network for Multi-Organ Pathology Image Classification. - Doanh C. Bui; Boram Song; Kyungeun Kim; Jin Tae Kwak (IEEE Trans. Medical Imaging, 2025)

Patch Stitching Data Augmentation for Cancer Classification in Pathology Images. - Jiamu Wang; Chang-Su Kim 001; Jin Tae Kwak (CoRR, 2025)

VLEER: Vision and Language Embeddings for Explainable Whole Slide Image Representation. - Anh Tien Nguyen; Keunho Byeon; Kyungeun Kim; Jin Tae Kwak (CoRR, 2025)

VideoPath-LLaVA: Pathology Diagnostic Reasoning Through Video Instruction Tuning. - Trinh Thi Le Vuong; Jin Tae Kwak (CoRR, 2025)

Welcome New Doctor: Continual Learning with Expert Consultation and Autoregressive Inference for Whole Slide Image Analysis. - Doanh C. Bui; Jin Tae Kwak (CoRR, 2025)

Normal and Abnormal Pathology Knowledge-Augmented Vision-Language Model for Anomaly Detection in Pathology Images. - Jinsol Song; Jiamu Wang; Anh Tien Nguyen; Keunho Byeon; Sangjeong Ahn; Sung Hak Lee; Jin Tae Kwak (CoRR, 2025)

Domain Generalization in Computational Pathology: Survey and Guidelines. - Mostafa Jahanifar; Manahil Raza; Kesi Xu; Trinh Thi Le Vuong; Robert Jewsbury; Adam Shephard; Neda Zamanitajeddin; Jin Tae Kwak; Shan E Ahmed Raza; Fayyaz Minhas; Nasir M. Rajpoot (ACM Comput. Surv., 2025)