Jin Tae Kwak
Orcid: 0000-0003-0287-4097
According to our database1,
Jin Tae Kwak
authored at least 60 papers
between 2011 and 2023.
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Bibliography
2023
Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images.
Medical Image Anal., December, 2023
CaMeL-Net: Centroid-aware metric learning for efficient multi-class cancer classification in pathology images.
Comput. Methods Programs Biomed., November, 2023
Medical Image Anal., October, 2023
MoMA: Momentum Contrastive Learning with Multi-head Attention-based Knowledge Distillation for Histopathology Image Analysis.
CoRR, 2023
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.
CoRR, 2023
Boosting Knowledge Distillation via Random Fourier Features for Prostate Cancer Grading in Histopathology Images.
Proceedings of the Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Order-ViT: Order Learning Vision Transformer for Cancer Classification in Pathology Images.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Multi-Scale Binary Pattern Encoding Network for Cancer Classification in Pathology Images.
IEEE J. Biomed. Health Informatics, 2022
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, 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.
Comput. Methods Programs Biomed., 2022
GradMix for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
IMPaSh: A Novel Domain-Shift Resistant Representation for Colorectal Cancer Tissue Classification.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
2021
IEEE J. Biomed. Health Informatics, 2021
Medical Image Anal., 2021
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021
Ranking Loss: A Ranking-Based Deep Neural Network for Colorectal Cancer Grading in Pathology Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
3-D multitask deep neural networks for collateral imaging from dynamic susceptibility contrast-enhanced magnetic resonance perfusion.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021
2020
Fusarium Wilt of Radish Detection Using RGB and Near Infrared Images from Unmanned Aerial Vehicles.
Remote. Sens., 2020
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., 2020
Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound.
Int. J. Comput. Assist. Radiol. Surg., 2020
Improving Dense Pixelwise Prediction of Epithelial Density Using Unsupervised Data Augmentation for Consistency Regularization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Deep Learning Framework for Epithelium Density Estimation in Prostate Multi-Parametric Magnetic Resonance Imaging.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images.
Medical Image Anal., 2019
Comput. Methods Programs Biomed., 2019
Deep neural maps for unsupervised visualization of high-grade cancer in prostate biopsies.
Int. J. Comput. Assist. Radiol. Surg., 2019
Scale embedding shared neural networks for multiscale histological analysis of prostate cancer.
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019
2018
Deep Recurrent Neural Networks for Prostate Cancer Detection: Analysis of Temporal Enhanced Ultrasound.
IEEE Trans. Medical Imaging, 2018
CoRR, 2018
Deep dense multi-path neural network for prostate segmentation in magnetic resonance imaging.
Int. J. Comput. Assist. Radiol. Surg., 2018
Int. J. Comput. Assist. Radiol. Surg., 2018
Learning from Noisy Label Statistics: Detecting High Grade Prostate Cancer in Ultrasound Guided Biopsy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018
2017
Comput. Methods Programs Biomed., 2017
Transfer learning from RF to B-mode temporal enhanced ultrasound features for prostate cancer detection.
Int. J. Comput. Assist. Radiol. Surg., 2017
Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations.
Int. J. Comput. Assist. Radiol. Surg., 2017
Leukocytes Classification and Segmentation in Microscopic Blood Smear: A Resource-Aware Healthcare Service in Smart Cities.
IEEE Access, 2017
IEEE Access, 2017
Proceedings of the Medical Imaging 2017: Digital Pathology, 2017
Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Biopsy-guided learning with deep convolutional neural networks for Prostate Cancer detection on multiparametric MRI.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
Int. J. Comput. Assist. Radiol. Surg., 2016
Detection of prostate cancer using temporal sequences of ultrasound data: a large clinical feasibility study.
Int. J. Comput. Assist. Radiol. Surg., 2016
BMC Bioinform., 2016
Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
Expert Syst. Appl., 2015
Augmenting MRI-transrectal ultrasound-guided prostate biopsy with temporal ultrasound data: a clinical feasibility study.
Int. J. Comput. Assist. Radiol. Surg., 2015
Nucleus detection using gradient orientation information and linear least squares regression.
Proceedings of the Medical Imaging 2015: Digital Pathology, 2015
Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
2014
Proceedings of the Medical Imaging 2014: Digital Pathology, 2014
Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2014
2012
Computational methods for cancer diagnosis and prognosis from FT-IR spectroscopy data
PhD thesis, 2012
2011
A new segmentation framework for infrared spectroscopic imaging using frequent pattern mining.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011