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Jin Tae Kwak
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2020 – today
- 2025
- [j31]Trinh Thi Le Vuong, Jin Tae Kwak:
MoMA: Momentum contrastive learning with multi-head attention-based knowledge distillation for histopathology image analysis. Medical Image Anal. 101: 103421 (2025) - 2024
- [j30]Sumin Jung, Hyun Yang, Hyun Jeong Kim, Hong Gee Roh, Jin Tae Kwak
:
3D mobile regression vision transformer for collateral imaging in acute ischemic stroke. Int. J. Comput. Assist. Radiol. Surg. 19(10): 2043-2054 (2024) - [j29]Doanh C. Bui
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. 248: 108112 (2024) - [c32]Doanh C. Bui
MECFormer: Multi-task Whole Slide Image Classification with Expert Consultation Network. ACCV (2) 2024: 72-87 - [c31]Jiamu Wang, Jin Tae Kwak:
USegMix: Unsupervised Segment Mix for Efficient Data Augmentation in Pathology Images. DEMI@MICCAI 2024: 54-63 - [c30]Doanh C. Bui, Trinh Thi Le Vuong, Jin Tae Kwak:
FALFormer: Feature-Aware Landmarks Self-attention for Whole-Slide Image Classification. MICCAI (4) 2024: 123-132 - [c29]Anh Tien Nguyen, Trinh Thi Le Vuong, Jin Tae Kwak:
Towards a Text-Based Quantitative and Explainable Histopathology Image Analysis. MICCAI (4) 2024: 514-524 - [i19]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
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. CoRR abs/2405.18435 (2024) - [i18]Doanh C. Bui, Trinh Thi Le Vuong, Jin Tae Kwak:
FALFormer: Feature-aware Landmarks self-attention for Whole-slide Image Classification. CoRR abs/2407.07340 (2024) - [i17]Anh Tien Nguyen, Trinh Thi Le Vuong, Jin Tae Kwak:
Towards a text-based quantitative and explainable histopathology image analysis. CoRR abs/2407.07360 (2024) - [i16]Ju Cheon Lee, Keunho Byeon, Boram Song, Kyungeun Kim, Jin Tae Kwak:
DIOR-ViT: Differential Ordinal Learning Vision Transformer for Cancer Classification in Pathology Images. CoRR abs/2407.08503 (2024) - [i15]Anh Tien Nguyen, Keunho Byeon, Kyungeun Kim, Boram Song, Seoung Wan Chae, Jin Tae Kwak:
CAMP: Continuous and Adaptive Learning Model in Pathology. CoRR abs/2407.09030 (2024) - [i14]Anh Tien Nguyen, Jin Tae Kwak:
GPC: Generative and General Pathology Image Classifier. CoRR abs/2407.09035 (2024) - [i13]Trinh Thi Le Vuong, Doanh C. Bui, Jin Tae Kwak:
QuIIL at T3 challenge: Towards Automation in Life-Saving Intervention Procedures from First-Person View. CoRR abs/2407.13216 (2024) - [i12]Doanh C. Bui, Jin Tae Kwak:
MECFormer: Multi-task Whole Slide Image Classification with Expert Consultation Network. CoRR abs/2410.04507 (2024) - [i11]Jeaung Lee, Jeewoo Lim, Keunho Byeon, Jin Tae Kwak:
Benchmarking Pathology Foundation Models: Adaptation Strategies and Scenarios. CoRR abs/2410.16038 (2024) - [i10]Jiamu Wang, Jin Tae Kwak:
NucleiMix: Realistic Data Augmentation for Nuclei Instance Segmentation. CoRR abs/2410.16671 (2024) - 2023
- [j28]Jaeung Lee, Chiwon Han, Kyungeun Kim, Gi-Ho Park
CaMeL-Net: Centroid-aware metric learning for efficient multi-class cancer classification in pathology images. Comput. Methods Programs Biomed. 241: 107749 (2023) - [j27]Kyungmo Kim, Kyoungbun Lee, Sungduk Cho
PAIP 2020: Microsatellite instability prediction in colorectal cancer. Medical Image Anal. 89: 102886 (2023) - [j26]Syed Farhan Abbas, Trinh Thi Le Vuong
Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images. Medical Image Anal. 90: 102936 (2023) - [c28]Ju Cheon Lee, Jin Tae Kwak:
Order-ViT: Order Learning Vision Transformer for Cancer Classification in Pathology Images. ICCV (Workshops) 2023: 2485-2494 - [c27]Trinh Thi Le Vuong, Jin Tae Kwak:
Boosting Knowledge Distillation via Random Fourier Features for Prostate Cancer Grading in Histopathology Images. DART@MICCAI 2023: 73-83 - [c26]Trinh Thi Le Vuong, Doanh C. Bui, Jin Tae Kwak:
QuIIL at T3 Challenge: Towards Automation in Life-Saving Intervention Procedures from First-Person View. BONBID-HIE@MICCAI 2023: 82-93 - [c25]Anh Tien Nguyen, Jin Tae Kwak:
GPC: Generative and General Pathology Image Classifier. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 203-212 - [c24]Jaeung Lee, Keunho Byeon, Jin Tae Kwak:
Centroid-Aware Feature Recalibration for Cancer Grading in Pathology Images. MICCAI (2) 2023: 212-221 - [c23]Trinh Thi Le Vuong, Jin Tae Kwak:
Quintet margin loss for an improved knowledge distillation in histopathology image analysis. Digital and Computational Pathology 2023 - [i9]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
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR abs/2303.06274 (2023) - [i8]Jaeung Lee, Keunho Byeon, Jin Tae Kwak:
Centroid-aware feature recalibration for cancer grading in pathology images. CoRR abs/2307.13947 (2023) - [i7]Trinh Thi Le Vuong, Jin Tae Kwak:
MoMA: Momentum Contrastive Learning with Multi-head Attention-based Knowledge Distillation for Histopathology Image Analysis. CoRR abs/2308.16561 (2023) - [i6]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:
Domain Generalization in Computational Pathology: Survey and Guidelines. CoRR abs/2310.19656 (2023) - 2022
- [j25]Hoang Long Le
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. 225: 107071 (2022) - [j24]Trinh Thi Le Vuong
Multi-Scale Binary Pattern Encoding Network for Cancer Classification in Pathology Images. IEEE J. Biomed. Health Informatics 26(3): 1152-1163 (2022) - [j23]Tan N. N. Doan, Boram Song
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 26(7): 3218-3228 (2022) - [c22]Trinh Thi Le Vuong, Quoc Dang Vu, Mostafa Jahanifar, Simon Graham, Jin Tae Kwak, Nasir M. Rajpoot:
IMPaSh: A Novel Domain-Shift Resistant Representation for Colorectal Cancer Tissue Classification. ECCV Workshops (3) 2022: 543-555 - [c21]Tan N. N. Doan, Kyungeun Kim, Boram Song, Jin Tae Kwak:
GradMix for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets. MICCAI (2) 2022: 171-180 - [c20]Chang Hee Han, Jin Tae Kwak:
A hybrid computational pathology method for the detection of perineural invasion junctions. Digital and Computational Pathology 2022 - [i5]Trinh Thi Le Vuong
IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue Classification. CoRR abs/2208.11052 (2022) - [i4]Tan Nhu Nhat Doan, Kyungeun Kim, Boram Song, Jin Tae Kwak:
GradMix for nuclei segmentation and classification in imbalanced pathology image datasets. CoRR abs/2210.12938 (2022) - 2021
- [j22]Trinh Thi Le Vuong
Joint categorical and ordinal learning for cancer grading in pathology images. Medical Image Anal. 73: 102206 (2021) - [j21]Quoc Dang Vu, Kyungeun Kim, Jin Tae Kwak
Unsupervised Tumor Characterization via Conditional Generative Adversarial Networks. IEEE J. Biomed. Health Informatics 25(2): 348-357 (2021) - [c19]Daigeun Lee, Jin Tae Kwak:
Dual-Encoding Style Transfer for Korean Font Generation. ICTC 2021: 1169-1174 - [c18]Hoang Long Le, Yejin Jeon, Hong Gee Roh, Hyun Jeong Kim, Jin Tae Kwak
3-D multitask deep neural networks for collateral imaging from dynamic susceptibility contrast-enhanced magnetic resonance perfusion. Computer-Aided Diagnosis 2021 - [c17]Trinh Thi Le Vuong
Ranking Loss: A Ranking-Based Deep Neural Network for Colorectal Cancer Grading in Pathology Images. MICCAI (8) 2021: 540-549 - [c16]Tan Nhu Nhat Doan, Chang Hee Han, Jin Tae Kwak
Distance ordinal regression loss for an improved nuclei segmentation. Digital Pathology 2021 - 2020
- [j20]Minh Nguyen Nhat To
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. 15(1): 151-162 (2020) - [j19]Alireza Sedghi, Alireza Mehrtash, Amoon Jamzad, Amel Amalou, William M. Wells III, Tina Kapur, Jin Tae Kwak
Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound. Int. J. Comput. Assist. Radiol. Surg. 15(7): 1215-1223 (2020) - [j18]L. Minh Dang, Hanxiang Wang
Fusarium Wilt of Radish Detection Using RGB and Near Infrared Images from Unmanned Aerial Vehicles. Remote. Sens. 12(17): 2863 (2020) - [j17]Neeraj Kumar
A Multi-Organ Nucleus Segmentation Challenge. IEEE Trans. Medical Imaging 39(5): 1380-1391 (2020) - [c15]Minh Nguyen Nhat To
Deep Learning Framework for Epithelium Density Estimation in Prostate Multi-Parametric Magnetic Resonance Imaging. ISBI 2020: 438-441 - [c14]Minh Nguyen Nhat To
Improving Dense Pixelwise Prediction of Epithelial Density Using Unsupervised Data Augmentation for Consistency Regularization. MICCAI (1) 2020: 572-581
2010 – 2019
- 2019
- [j16]Alireza Sedghi
Deep neural maps for unsupervised visualization of high-grade cancer in prostate biopsies. Int. J. Comput. Assist. Radiol. Surg. 14(6): 1009-1016 (2019) - [j15]Quoc Dang Vu, Jin Tae Kwak
A dense multi-path decoder for tissue segmentation in histopathology images. Comput. Methods Programs Biomed. 173: 119-129 (2019) - [j14]Simon Graham
Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images. Medical Image Anal. 58 (2019) - [c13]Quy Dinh Duong, Quoc Dang Vu, Daigeun Lee, Stephen M. Hewitt, Kyungeun Kim, Jin Tae Kwak
Scale embedding shared neural networks for multiscale histological analysis of prostate cancer. Digital Pathology 2019: 1095606 - 2018
- [j13]Shekoofeh Azizi
Toward a real-time system for temporal enhanced ultrasound-guided prostate biopsy. Int. J. Comput. Assist. Radiol. Surg. 13(8): 1201-1209 (2018) - [j12]Minh Nguyen Nhat To
Deep dense multi-path neural network for prostate segmentation in magnetic resonance imaging. Int. J. Comput. Assist. Radiol. Surg. 13(11): 1687-1696 (2018) - [j11]Shekoofeh Azizi
Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound. IEEE Trans. Medical Imaging 37(12): 2695-2703 (2018) - [c12]Quoc Dang Vu
Micro and Macro Breast Histology Image Analysis by Partial Network Re-use. ICIAR 2018: 895-902 - [c11]Shekoofeh Azizi
Learning from Noisy Label Statistics: Detecting High Grade Prostate Cancer in Ultrasound Guided Biopsy. MICCAI (4) 2018: 21-29 - [i3]Guilherme Aresta
BACH: Grand Challenge on Breast Cancer Histology Images. CoRR abs/1808.04277 (2018) - [i2]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:
Methods for Segmentation and Classification of Digital Microscopy Tissue Images. CoRR abs/1810.13230 (2018) - [i1]Simon Graham, Quoc Dang Vu, Shan E Ahmed Raza, Jin Tae Kwak, Nasir M. Rajpoot:
XY Network for Nuclear Segmentation in Multi-Tissue Histology Images. CoRR abs/1812.06499 (2018) - 2017
- [j10]Muhammad Sajjad, Siraj Khan, Zahoor Jan, Khan Muhammad
Leukocytes Classification and Segmentation in Microscopic Blood Smear: A Resource-Aware Healthcare Service in Smart Cities. IEEE Access 5: 3475-3489 (2017) - [j9]Jin Tae Kwak
Nuclear Architecture Analysis of Prostate Cancer via Convolutional Neural Networks. IEEE Access 5: 18526-18533 (2017) - [j8]Shekoofeh Azizi
Transfer learning from RF to B-mode temporal enhanced ultrasound features for prostate cancer detection. Int. J. Comput. Assist. Radiol. Surg. 12(7): 1111-1121 (2017) - [j7]Shekoofeh Azizi
Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations. Int. J. Comput. Assist. Radiol. Surg. 12(8): 1293-1305 (2017) - [j6]Jin Tae Kwak
Multiview boosting digital pathology analysis of prostate cancer. Comput. Methods Programs Biomed. 142: 91-99 (2017) - [c10]Yohannes Tsehay, Nathan Lay, Xiaosong Wang
Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRI. ISBI 2017: 642-645 - [c9]Yohannes K. Tsehay, Nathan S. Lay, Holger R. Roth
Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images. Computer-Aided Diagnosis 2017: 1013405 - [c8]Jin Tae Kwak
Lumen-based detection of prostate cancer via convolutional neural networks. Digital Pathology 2017: 1014008 - 2016
- [j5]Jin Tae Kwak
Automated prostate tissue referencing for cancer detection and diagnosis. BMC Bioinform. 17: 227 (2016) - [j4]Jin Tae Kwak
Correlation of magnetic resonance imaging with digital histopathology in prostate. Int. J. Comput. Assist. Radiol. Surg. 11(4): 657-666 (2016) - [j3]Shekoofeh Azizi
Detection of prostate cancer using temporal sequences of ultrasound data: a large clinical feasibility study. Int. J. Comput. Assist. Radiol. Surg. 11(6): 947-956 (2016) - [c7]Shekoofeh Azizi
Classifying Cancer Grades Using Temporal Ultrasound for Transrectal Prostate Biopsy. MICCAI (1) 2016: 653-661 - [c6]Tomasz P. Wrobel
High-definition Fourier transform infrared spectroscopic imaging of prostate tissue. Digital Pathology 2016: 97911D - 2015
- [j2]Farhad Imani, Bo Zhuang, Amir M. Tahmasebi, Jin Tae Kwak
Augmenting MRI-transrectal ultrasound-guided prostate biopsy with temporal ultrasound data: a clinical feasibility study. Int. J. Comput. Assist. Radiol. Surg. 10(6): 727-735 (2015) - [j1]Jin Tae Kwak
Efficient data mining for local binary pattern in texture image analysis. Expert Syst. Appl. 42(9): 4529-4539 (2015) - [c5]Shekoofeh Azizi
Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks. MICCAI (2) 2015: 70-77 - [c4]Jin Tae Kwak
Nucleus detection using gradient orientation information and linear least squares regression. Digital Pathology 2015: 94200N - 2014
- [c3]Nishant Uniyal, Farhad Imani, Amir M. Tahmasebi, Harsh K. Agarwal, Shyam Bharat, Pingkun Yan, Jochen Kruecker, Jin Tae Kwak
Ultrasound-Based Predication of Prostate Cancer in MRI-guided Biopsy. CLIP@MICCAI 2014: 142-150 - [c2]Jin Tae Kwak
A multiview boosting approach to tissue segmentation. Digital Pathology 2014: 90410R - 2012
- [b1]Jin Tae Kwak:
Computational methods for cancer diagnosis and prognosis from FT-IR spectroscopy data. University of Illinois Urbana-Champaign, USA, 2012 - 2011
- [c1]Jin Tae Kwak
A new segmentation framework for infrared spectroscopic imaging using frequent pattern mining. ISBI 2011: 452-455
Coauthor Index
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last updated on 2025-01-13 01:03 CET by the dblp team
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