Jin Tae Kwak - RankMe

103 papers Journal 64Unranked 38

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hierarchical Classification for Improved Histopathology Image Analysis. CoRR Keunho Byeon, Jinsol Song, Seong Min Hong, Yosep Chong, Jin Tae Kwak
2025	—	`conf`	A Mixture-of-Experts Decision Support System for Digital Pathology. HICSS Jin Tae Kwak, Doanh C. Bui
2025	J	`jnl`	Benchmarking pathology foundation models: Adaptation strategies and scenarios. Comput. Biol. Medicine Jaeung Lee, Jeewoo Lim, Keunho Byeon, Jin Tae Kwak
2025	—	`conf`	Clinical XAI For Classification in Pathology Images Via Vision-Language Model. ICIPW Jinsol Song, Chaeyeon Lee, Jin Tae Kwak
2025	J	`jnl`	DIOR-ViT: Differential ordinal learning Vision Transformer for cancer classification in pathology images. Medical Image Anal. Ju Cheon Lee, Keunho Byeon, Boram Song, Kyungeun Kim, Jin Tae Kwak
2025	J	`jnl`	DeLECA: Deblurring for Long and short Exposure images with a dual-branch multimodal cross attention mechanism. ICT Express Keunho Byeon, Jeewoo Lim, Jin Tae Kwak
2025	J	`jnl`	Domain Generalization in Computational Pathology: Survey and Guidelines. ACM Comput. Surv. 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
2025	—	`conf`	From Pathology to Radiology: Evaluating the Applicability of Pathology Foundation Models. MedAGI Hyun Yang, Sumin Jung, Jin Tae Kwak
2025	—	`conf`	Lightweight Look-ahead Multi-context Vision Transformer. ICEIC Keunho Byeon, Jeewoo Lim, Jaeung Lee, Chiwon Han, SungYun Bay, Giho Park, Jin Tae Kwak
2025	J	`jnl`	MoMA: Momentum contrastive learning with multi-head attention-based knowledge distillation for histopathology image analysis. Medical Image Anal. Trinh Thi Le Vuong, Jin Tae Kwak
2025	J	`jnl`	Normal and Abnormal Pathology Knowledge-Augmented Vision-Language Model for Anomaly Detection in Pathology Images. CoRR Jinsol Song, Jiamu Wang, Anh Tien Nguyen, Keunho Byeon, Sangjeong Ahn, Sung Hak Lee, Jin Tae Kwak
2025	J	`jnl`	NucleiMix: Realistic data augmentation for nuclei instance segmentation. Comput. Biol. Medicine Jiamu Wang, Jin Tae Kwak
2025	J	`jnl`	Patch Stitching Data Augmentation for Cancer Classification in Pathology Images. CoRR Jiamu Wang, Chang-Su Kim, Jin Tae Kwak
2025	—	`conf`	Pathology-Informed Latent Diffusion Model for Anomaly Detection in Lymph Node Metastasis. MICCAI (2) Jiamu Wang, Keunho Byeon, Jinsol Song, Anh Tien Nguyen, Sangjeong Ahn, Sung Hak Lee, Jin Tae Kwak
2025	J	`jnl`	Pathology-Informed Latent Diffusion Model for Anomaly Detection in Lymph Node Metastasis. CoRR Jiamu Wang, Keunho Byeon, Jinsol Song, Anh Tien Nguyen, Sangjeong Ahn, Sung Hak Lee, Jin Tae Kwak
2025	J	`jnl`	Spatially-Constrained and -Unconstrained Bi-Graph Interaction Network for Multi-Organ Pathology Image Classification. IEEE Trans. Medical Imaging Doanh C. Bui, Boram Song, Kyungeun Kim, Jin Tae Kwak
2025	J	`jnl`	USegMix: Unsupervised Segment Mix for Efficient Data Augmentation in Pathology Images. CoRR Jiamu Wang, Jin Tae Kwak
2025	—	`conf`	VLEER: Vision and Language Embeddings for Explainable Whole Slide Image Representation. iMIMIC@MICCAI Anh Tien Nguyen, Keunho Byeon, Kyungeun Kim, Jin Tae Kwak
2025	J	`jnl`	VLEER: Vision and Language Embeddings for Explainable Whole Slide Image Representation. CoRR Anh Tien Nguyen, Keunho Byeon, Kyungeun Kim, Jin Tae Kwak
2025	J	`jnl`	VideoPath-LLaVA: Pathology Diagnostic Reasoning Through Video Instruction Tuning. CoRR Trinh Thi Le Vuong, Jin Tae Kwak
2025	J	`jnl`	Welcome New Doctor: Continual Learning with Expert Consultation and Autoregressive Inference for Whole Slide Image Analysis. CoRR Doanh C. Bui, Jin Tae Kwak
2024	J	`jnl`	3D mobile regression vision transformer for collateral imaging in acute ischemic stroke. Int. J. Comput. Assist. Radiol. Surg. Sumin Jung, Hyun Yang, Hyun Jeong Kim, Hong Gee Roh, Jin Tae Kwak
2024	J	`jnl`	Benchmarking Pathology Foundation Models: Adaptation Strategies and Scenarios. CoRR Jeaung Lee, Jeewoo Lim, Keunho Byeon, Jin Tae Kwak
2024	J	`jnl`	CAMP: Continuous and Adaptive Learning Model in Pathology. CoRR Anh Tien Nguyen, Keunho Byeon, Kyungeun Kim, Boram Song, Seoung Wan Chae, Jin Tae Kwak
2024	J	`jnl`	DAX-Net: A dual-branch dual-task adaptive cross-weight feature fusion network for robust multi-class cancer classification in pathology images. Comput. Methods Programs Biomed. Doanh C. Bui, Boram Song, Kyungeun Kim, Jin Tae Kwak
2024	J	`jnl`	DIOR-ViT: Differential Ordinal Learning Vision Transformer for Cancer Classification in Pathology Images. CoRR Ju Cheon Lee, Keunho Byeon, Boram Song, Kyungeun Kim, Jin Tae Kwak
2024	—	`conf`	FALFormer: Feature-Aware Landmarks Self-attention for Whole-Slide Image Classification. MICCAI (4) Doanh C. Bui, Trinh Thi Le Vuong, Jin Tae Kwak
2024	J	`jnl`	FALFormer: Feature-aware Landmarks self-attention for Whole-slide Image Classification. CoRR Doanh C. Bui, Trinh Thi Le Vuong, Jin Tae Kwak
2024	J	`jnl`	GPC: Generative and General Pathology Image Classifier. CoRR Anh Tien Nguyen, Jin Tae Kwak
2024	—	`conf`	MECFormer: Multi-task Whole Slide Image Classification with Expert Consultation Network. ACCV (2) Doanh C. Bui, Jin Tae Kwak
2024	J	`jnl`	MECFormer: Multi-task Whole Slide Image Classification with Expert Consultation Network. CoRR Doanh C. Bui, Jin Tae Kwak
2024	J	`jnl`	NucleiMix: Realistic Data Augmentation for Nuclei Instance Segmentation. CoRR Jiamu Wang, Jin Tae Kwak
2024	J	`jnl`	QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. CoRR 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, Tamaz Amiranashvili, Chinmay Prabhakar, Christoph Berger, Jonas Weidner, Michelle Alonso-Basanta, Arif Rashid, Ujjwal Baid, Wesam Adel, Deniz Alis, Bhakti Baheti, Yingbin Bai, Ishaan Bhat, Sabri Can Cetindag, Wenting Chen, Li Cheng, Prasad Dutande, Lara Dular, Mustafa A. Elattar, Ming Feng, Shengbo Gao, Henkjan Huisman, Weifeng Hu, Shubham Innani, Wei Jiat, Davood Karimi, Hugo J. Kuijf, Jin Tae Kwak, Hoang Long Le, Xiang Lia, Huiyan Lin, Tongliang Liu, Jun Ma, Kai Ma, Ting Ma, Ilkay Öksüz, Robbie Holland, Arlindo L. Oliveira, Jimut Bahan Pal, Xuan Pei, Maoying Qiao, Anindo Saha, Raghavendra Selvan, Linlin Shen, João Lourenço Silva, Ziga Spiclin, Sanjay N. Talbar, Dadong Wang, Wei Wang, Xiong Wang, Yin Wang, Ruiling Xia, Kele Xu, Yanwu Yan, Mert Yergin, Shuang Yu, Lingxi Zeng, YingLin Zhang, Jiachen Zhao, Yefeng Zheng, Martin Zukovec, Richard K. G. Do, Anton S. Becker, Amber L. Simpson, Ender Konukoglu, András Jakab, Spyridon Bakas, Leo Joskowicz, Bjoern H. Menze
2024	J	`jnl`	QuIIL at T3 challenge: Towards Automation in Life-Saving Intervention Procedures from First-Person View. CoRR Trinh Thi Le Vuong, Doanh C. Bui, Jin Tae Kwak
2024	—	`conf`	Towards a Text-Based Quantitative and Explainable Histopathology Image Analysis. MICCAI (4) Anh Tien Nguyen, Trinh Thi Le Vuong, Jin Tae Kwak
2024	J	`jnl`	Towards a text-based quantitative and explainable histopathology image analysis. CoRR Anh Tien Nguyen, Trinh Thi Le Vuong, Jin Tae Kwak
2024	—	`conf`	USegMix: Unsupervised Segment Mix for Efficient Data Augmentation in Pathology Images. DEMI@MICCAI Jiamu Wang, Jin Tae Kwak
2023	—	`conf`	Boosting Knowledge Distillation via Random Fourier Features for Prostate Cancer Grading in Histopathology Images. DART@MICCAI Trinh Thi Le Vuong, Jin Tae Kwak
2023	J	`jnl`	CaMeL-Net: Centroid-aware metric learning for efficient multi-class cancer classification in pathology images. Comput. Methods Programs Biomed. Jaeung Lee, Chiwon Han, Kyungeun Kim, Giho Park, Jin Tae Kwak
2023	—	`conf`	Centroid-Aware Feature Recalibration for Cancer Grading in Pathology Images. MICCAI (2) Jaeung Lee, Keunho Byeon, Jin Tae Kwak
2023	J	`jnl`	Centroid-aware feature recalibration for cancer grading in pathology images. CoRR Jaeung Lee, Keunho Byeon, Jin Tae Kwak
2023	J	`jnl`	CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot
2023	J	`jnl`	Domain Generalization in Computational Pathology: Survey and Guidelines. CoRR 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
2023	—	`conf`	GPC: Generative and General Pathology Image Classifier. ISIC/Care-AI/MedAGI/DeCaF@MICCAI Anh Tien Nguyen, Jin Tae Kwak
2023	J	`jnl`	MoMA: Momentum Contrastive Learning with Multi-head Attention-based Knowledge Distillation for Histopathology Image Analysis. CoRR Trinh Thi Le Vuong, Jin Tae Kwak
2023	J	`jnl`	Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images. Medical Image Anal. Syed Farhan Abbas, Trinh Thi Le Vuong, Kyungeun Kim, Boram Song, Jin Tae Kwak
2023	—	`conf`	Order-ViT: Order Learning Vision Transformer for Cancer Classification in Pathology Images. ICCV (Workshops) Ju Cheon Lee, Jin Tae Kwak
2023	J	`jnl`	PAIP 2020: Microsatellite instability prediction in colorectal cancer. Medical Image Anal. 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, Ramin Nateghi, Fattaneh Pourakpour, Xiyue Wang, Sen Yang, Seyed Alireza Fatemi Jahromi, Aliasghar Khani, Hwa-Rang Kim, Doo-Hyun Choi, Chang Hee Han, Jin Tae Kwak, Fan Zhang, Bing Han, David Joon Ho, Gyeong Hoon Kang, Se Young Chun, Won-Ki Jeong, Peom Park, Jinwook Choi
2023	—	`conf`	QuIIL at T3 Challenge: Towards Automation in Life-Saving Intervention Procedures from First-Person View. BONBID-HIE@MICCAI Trinh Thi Le Vuong, Doanh C. Bui, Jin Tae Kwak
2023	—	`conf`	Quintet margin loss for an improved knowledge distillation in histopathology image analysis. Digital and Computational Pathology Trinh Thi Le Vuong, Jin Tae Kwak
2022	J	`jnl`	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. Comput. Methods Programs Biomed. Hoang Long Le, Hong Gee Roh, Hyun Jeong Kim, Jin Tae Kwak
2022	—	`conf`	A hybrid computational pathology method for the detection of perineural invasion junctions. Digital and Computational Pathology Chang Hee Han, Jin Tae Kwak
2022	—	`conf`	GradMix for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets. MICCAI (2) Tan N. N. Doan, Kyungeun Kim, Boram Song, Jin Tae Kwak
2022	J	`jnl`	GradMix for nuclei segmentation and classification in imbalanced pathology image datasets. CoRR Tan Nhu Nhat Doan, Kyungeun Kim, Boram Song, Jin Tae Kwak
2022	—	`conf`	IMPaSh: A Novel Domain-Shift Resistant Representation for Colorectal Cancer Tissue Classification. ECCV Workshops (3) Trinh Thi Le Vuong, Quoc Dang Vu, Mostafa Jahanifar, Simon Graham, Jin Tae Kwak, Nasir M. Rajpoot
2022	J	`jnl`	IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue Classification. CoRR Trinh Thi Le Vuong, Quoc Dang Vu, Mostafa Jahanifar, Simon Graham, Jin Tae Kwak, Nasir M. Rajpoot
2022	J	`jnl`	Multi-Scale Binary Pattern Encoding Network for Cancer Classification in Pathology Images. IEEE J. Biomed. Health Informatics Trinh Thi Le Vuong, Boram Song, Kyungeun Kim, Yong M. Cho, Jin Tae Kwak
2022	J	`jnl`	SONNET: A Self-Guided Ordinal Regression Neural Network for Segmentation and Classification of Nuclei in Large-Scale Multi-Tissue Histology Images. IEEE J. Biomed. Health Informatics Tan N. N. Doan, Boram Song, Trinh Thi Le Vuong, Kyungeun Kim, Jin Tae Kwak
2021	—	`conf`	3-D multitask deep neural networks for collateral imaging from dynamic susceptibility contrast-enhanced magnetic resonance perfusion. Computer-Aided Diagnosis Hoang Long Le, Yejin Jeon, Hong Gee Roh, Hyun Jeong Kim, Jin Tae Kwak
2021	—	`conf`	Distance ordinal regression loss for an improved nuclei segmentation. Digital Pathology Tan Nhu Nhat Doan, Chang Hee Han, Jin Tae Kwak
2021	—	`conf`	Dual-Encoding Style Transfer for Korean Font Generation. ICTC Daigeun Lee, Jin Tae Kwak
2021	J	`jnl`	Joint categorical and ordinal learning for cancer grading in pathology images. Medical Image Anal. Trinh Thi Le Vuong, Kyungeun Kim, Boram Song, Jin Tae Kwak
2021	—	`conf`	Ranking Loss: A Ranking-Based Deep Neural Network for Colorectal Cancer Grading in Pathology Images. MICCAI (8) Trinh Thi Le Vuong, Kyungeun Kim, Boram Song, Jin Tae Kwak
2021	J	`jnl`	Unsupervised Tumor Characterization via Conditional Generative Adversarial Networks. IEEE J. Biomed. Health Informatics Quoc Dang Vu, Kyungeun Kim, Jin Tae Kwak
2020	J	`jnl`	A Multi-Organ Nucleus Segmentation Challenge. IEEE Trans. Medical Imaging Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi
2020	—	`conf`	Deep Learning Framework for Epithelium Density Estimation in Prostate Multi-Parametric Magnetic Resonance Imaging. ISBI Minh Nguyen Nhat To, Sandeep Sankineni, Sheng Xu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Vanessa Moreno, María Merino, Bradford J. Wood, Jin Tae Kwak
2020	J	`jnl`	Deep regression neural networks for collateral imaging from dynamic susceptibility contrast-enhanced magnetic resonance perfusion in acute ischemic stroke. Int. J. Comput. Assist. Radiol. Surg. Minh Nguyen Nhat To, Hyun Jeong Kim, Hong Gee Roh, Yoon-Sik Cho, Jin Tae Kwak
2020	J	`jnl`	Fusarium Wilt of Radish Detection Using RGB and Near Infrared Images from Unmanned Aerial Vehicles. Remote. Sens. Lien Minh Dang, Hanxiang Wang, Yanfen Li, Kyungbok Min, Jin Tae Kwak, O. New Lee, Hanyong Park, Hyeonjoon Moon
2020	—	`conf`	Improving Dense Pixelwise Prediction of Epithelial Density Using Unsupervised Data Augmentation for Consistency Regularization. MICCAI (1) Minh Nguyen Nhat To, Sandeep Sankineni, Sheng Xu, Baris Turkbey, Peter A. Pinto, Vanessa Moreno, María Merino, Bradford J. Wood, Jin Tae Kwak
2020	J	`jnl`	Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound. Int. J. Comput. Assist. Radiol. Surg. 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, Purang Abolmaesumi, Parvin Mousavi
2019	J	`jnl`	A dense multi-path decoder for tissue segmentation in histopathology images. Comput. Methods Programs Biomed. Quoc Dang Vu, Jin Tae Kwak
2019	J	`jnl`	Deep neural maps for unsupervised visualization of high-grade cancer in prostate biopsies. Int. J. Comput. Assist. Radiol. Surg. Alireza Sedghi, Mehran Pesteie, Golara Javadi, Shekoofeh Azizi, Pingkun Yan, Jin Tae Kwak, Sheng Xu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Robert Rohling, Purang Abolmaesumi, Parvin Mousavi
2019	J	`jnl`	Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images. Medical Image Anal. Simon Graham, Quoc Dang Vu, Shan E Ahmed Raza, Ayesha Azam, Yee-Wah Tsang, Jin Tae Kwak, Nasir M. Rajpoot
2019	—	`conf`	Scale embedding shared neural networks for multiscale histological analysis of prostate cancer. Digital Pathology Quy Dinh Duong, Quoc Dang Vu, Daigeun Lee, Stephen M. Hewitt, Kyungeun Kim, Jin Tae Kwak
2018	J	`jnl`	BACH: Grand Challenge on Breast Cancer Histology Images. CoRR 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, Matthias Kohl, Christoph Walz, Florian Ludwig, Stefan Braunewell, Maximilian Baust, Quoc Dang Vu, Minh Nguyen Nhat To, Eal Kim, Jin Tae Kwak, Sameh Galal, Veronica Sanchez-Freire, Nadia Brancati, Maria Frucci, Daniel Riccio, Yaqi Wang, Lingling Sun, Kaiqiang Ma, Jiannan Fang, Ismaël Koné, Lahsen Boulmane, Aurélio Campilho, Catarina Eloy, António Polónia, Paulo Aguiar
2018	J	`jnl`	Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound. IEEE Trans. Medical Imaging Shekoofeh Azizi, Sharareh Bayat, Pingkun Yan, Amir Tahmasebi, Jin Tae Kwak, Sheng Xu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Parvin Mousavi, Purang Abolmaesumi
2018	J	`jnl`	Deep dense multi-path neural network for prostate segmentation in magnetic resonance imaging. Int. J. Comput. Assist. Radiol. Surg. Minh Nguyen Nhat To, Quoc Dang Vu, Baris Turkbey, Peter L. Choyke, Jin Tae Kwak
2018	—	`conf`	Learning from Noisy Label Statistics: Detecting High Grade Prostate Cancer in Ultrasound Guided Biopsy. MICCAI (4) Shekoofeh Azizi, Pingkun Yan, Amir M. Tahmasebi, Peter A. Pinto, Bradford J. Wood, Jin Tae Kwak, Sheng Xu, Baris Turkbey, Peter L. Choyke, Parvin Mousavi, Purang Abolmaesumi
2018	J	`jnl`	Methods for Segmentation and Classification of Digital Microscopy Tissue Images. CoRR 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, Nasir M. Rajpoot, Joel H. Saltz
2018	—	`conf`	Micro and Macro Breast Histology Image Analysis by Partial Network Re-use. ICIAR Quoc Dang Vu, Minh Nguyen Nhat To, Eal Kim, Jin Tae Kwak
2018	J	`jnl`	Toward a real-time system for temporal enhanced ultrasound-guided prostate biopsy. Int. J. Comput. Assist. Radiol. Surg. Shekoofeh Azizi, Nathan Van Woudenberg, Samira Sojoudi, Ming Li, Sheng Xu, Emran Mohammad Abu Anas, Pingkun Yan, Amir M. Tahmasebi, Jin Tae Kwak, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Parvin Mousavi, Purang Abolmaesumi
2018	J	`jnl`	XY Network for Nuclear Segmentation in Multi-Tissue Histology Images. CoRR Simon Graham, Quoc Dang Vu, Shan E Ahmed Raza, Jin Tae Kwak, Nasir M. Rajpoot
2017	—	`conf`	Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRI. ISBI Yohannes Tsehay, Nathan Lay, Xiaosong Wang, Jin Tae Kwak, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Ronald M. Summers
2017	—	`conf`	Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images. Computer-Aided Diagnosis Yohannes K. Tsehay, Nathan S. Lay, Holger R. Roth, Xiaosong Wang, Jin Tae Kwak, Baris Turkbey, Peter A. Pinto, Bradford J. Wood, Ronald M. Summers
2017	J	`jnl`	Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations. Int. J. Comput. Assist. Radiol. Surg. Shekoofeh Azizi, Sharareh Bayat, Pingkun Yan, Amir M. Tahmasebi, Guy Nir, Jin Tae Kwak, Sheng Xu, Storey Wilson, Kenneth A. Iczkowski, M. Scott Lucia, Larry Goldenberg, Septimiu E. Salcudean, Peter A. Pinto, Bradford J. Wood, Purang Abolmaesumi, Parvin Mousavi
2017	J	`jnl`	Leukocytes Classification and Segmentation in Microscopic Blood Smear: A Resource-Aware Healthcare Service in Smart Cities. IEEE Access Muhammad Sajjad, Siraj Khan, Zahoor Jan, Khan Muhammad, Hyeonjoon Moon, Jin Tae Kwak, Seungmin Rho, Sung Wook Baik, Irfan Mehmood
2017	—	`conf`	Lumen-based detection of prostate cancer via convolutional neural networks. Digital Pathology Jin Tae Kwak, Stephen M. Hewitt
2017	J	`jnl`	Multiview boosting digital pathology analysis of prostate cancer. Comput. Methods Programs Biomed. Jin Tae Kwak, Stephen M. Hewitt
2017	J	`jnl`	Nuclear Architecture Analysis of Prostate Cancer via Convolutional Neural Networks. IEEE Access Jin Tae Kwak, Stephen M. Hewitt
2017	J	`jnl`	Transfer learning from RF to B-mode temporal enhanced ultrasound features for prostate cancer detection. Int. J. Comput. Assist. Radiol. Surg. Shekoofeh Azizi, Parvin Mousavi, Pingkun Yan, Amir M. Tahmasebi, Jin Tae Kwak, Sheng Xu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Purang Abolmaesumi
2016	J	`jnl`	Automated prostate tissue referencing for cancer detection and diagnosis. BMC Bioinform. Jin Tae Kwak, Stephen M. Hewitt, André Alexander Kajdacsy-Balla, Saurabh Sinha, Rohit Bhargava
2016	—	`conf`	Classifying Cancer Grades Using Temporal Ultrasound for Transrectal Prostate Biopsy. MICCAI (1) Shekoofeh Azizi, Farhad Imani, Jin Tae Kwak, Amir M. Tahmasebi, Sheng Xu, Pingkun Yan, Jochen Kruecker, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Parvin Mousavi, Purang Abolmaesumi
2016	J	`jnl`	Correlation of magnetic resonance imaging with digital histopathology in prostate. Int. J. Comput. Assist. Radiol. Surg. Jin Tae Kwak, Sandeep Sankineni, Sheng Xu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, María Merino, Bradford J. Wood
2016	J	`jnl`	Detection of prostate cancer using temporal sequences of ultrasound data: a large clinical feasibility study. Int. J. Comput. Assist. Radiol. Surg. Shekoofeh Azizi, Farhad Imani, Sahar Ghavidel, Amir M. Tahmasebi, Jin Tae Kwak, Sheng Xu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Parvin Mousavi, Purang Abolmaesumi
2016	—	`conf`	High-definition Fourier transform infrared spectroscopic imaging of prostate tissue. Digital Pathology Tomasz P. Wrobel, Jin Tae Kwak, Andre Kadjacsy-Balla, Rohit Bhargava
2015	J	`jnl`	Augmenting MRI-transrectal ultrasound-guided prostate biopsy with temporal ultrasound data: a clinical feasibility study. Int. J. Comput. Assist. Radiol. Surg. Farhad Imani, Bo Zhuang, Amir M. Tahmasebi, Jin Tae Kwak, Sheng Xu, Harsh K. Agarwal, Shyam Bharat, Nishant Uniyal, Ismail Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Mehdi Moradi, Parvin Mousavi, Purang Abolmaesumi
2015	J	`jnl`	Efficient data mining for local binary pattern in texture image analysis. Expert Syst. Appl. Jin Tae Kwak, Sheng Xu, Bradford J. Wood
2015	—	`conf`	Nucleus detection using gradient orientation information and linear least squares regression. Digital Pathology Jin Tae Kwak, Stephen M. Hewitt, Sheng Xu, Peter A. Pinto, Bradford J. Wood
2015	—	`conf`	Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks. MICCAI (2) Shekoofeh Azizi, Farhad Imani, Bo Zhuang, Amir M. Tahmasebi, Jin Tae Kwak, Sheng Xu, Nishant Uniyal, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Mehdi Moradi, Parvin Mousavi, Purang Abolmaesumi
2014	—	`conf`	A multiview boosting approach to tissue segmentation. Digital Pathology Jin Tae Kwak, Sheng Xu, Peter A. Pinto, Baris Turkbey, Marcelino Bernardo, Peter L. Choyke, Bradford J. Wood
2014	—	`conf`	Ultrasound-Based Predication of Prostate Cancer in MRI-guided Biopsy. CLIP@MICCAI Nishant Uniyal, Farhad Imani, Amir M. Tahmasebi, Harsh K. Agarwal, Shyam Bharat, Pingkun Yan, Jochen Kruecker, Jin Tae Kwak, Sheng Xu, Bradford J. Wood, Peter A. Pinto, Baris Turkbey, Peter L. Choyke, Purang Abolmaesumi, Parvin Mousavi, Mehdi Moradi
2012	—	`—`	Computational methods for cancer diagnosis and prognosis from FT-IR spectroscopy data Jin Tae Kwak
2011	—	`conf`	A new segmentation framework for infrared spectroscopic imaging using frequent pattern mining. ISBI Jin Tae Kwak, Saurabh Sinha, Rohit Bhargava