| 2026 | WACV | HiFi-Deblur: High-Frequency Intense Image Deblurring with Frequency-Decoupled U-Net and Discrete Wavelet Transform. | Jeewoo Lim, CheolHee Yu, Jin Tae Kwak |
| 2025 | ICCV | 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 |
| 2025 | ICIP | Clinical XAI For Classification in Pathology Images Via Vision-Language Model. | Jinsol Song, Chaeyeon Lee, Jin Tae Kwak |
| 2025 | MICCAI | VLEER: Vision and Language Embeddings for Explainable Whole Slide Image Representation. | Anh Tien Nguyen, Keunho Byeon, Kyungeun Kim, Jin Tae Kwak |
| 2025 | MICCAI | Pathology-Informed Latent Diffusion Model for Anomaly Detection in Lymph Node Metastasis. | Jiamu Wang, Keunho Byeon, Jinsol Song, Anh Tien Nguyen, Sangjeong Ahn, Sung Hak Lee, Jin Tae Kwak |
| 2025 | MICCAI | From Pathology to Radiology: Evaluating the Applicability of Pathology Foundation Models. | Hyun Yang, Sumin Jung, Jin Tae Kwak |
| 2025 | MICCAI | Overview of the Trauma THOMPSON Challenge at MICCAI 2025. | Yupeng Zhuo, Eddie Zhang, Xiangchen Yu, Aditya Pachpande, Andrew W. Kirkpatrick, Jessica L. McKee, Edgar Rojas-Muoz, Brian R. VanVoorst, Jin Tae Kwak, Stas Tiomkin, Yanjun Gao, Juan P. Wachs |
| 2024 | ACCV | MECFormer: Multi-task Whole Slide Image Classification with Expert Consultation Network. | Doanh C. Bui, Jin Tae Kwak |
| 2024 | MICCAI | FALFormer: Feature-Aware Landmarks Self-attention for Whole-Slide Image Classification. | Doanh C. Bui, Trinh Thi Le Vuong, Jin Tae Kwak |
| 2024 | MICCAI | Towards a Text-Based Quantitative and Explainable Histopathology Image Analysis. | Anh Tien Nguyen, Trinh Thi Le Vuong, Jin Tae Kwak |
| 2024 | MICCAI | USegMix: Unsupervised Segment Mix for Efficient Data Augmentation in Pathology Images. | Jiamu Wang, Jin Tae Kwak |
| 2023 | MICCAI | Centroid-Aware Feature Recalibration for Cancer Grading in Pathology Images. | Jaeung Lee, Keunho Byeon, Jin Tae Kwak |
| 2023 | MICCAI | GPC: Generative and General Pathology Image Classifier. | Anh Tien Nguyen, Jin Tae Kwak |
| 2023 | MICCAI | 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 |
| 2023 | MICCAI | Boosting Knowledge Distillation via Random Fourier Features for Prostate Cancer Grading in Histopathology Images. | Trinh Thi Le Vuong, Jin Tae Kwak |
| 2022 | ECCV | 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 |
| 2022 | MICCAI | GradMix for Nuclei Segmentation and Classification in Imbalanced Pathology Image Datasets. | Tan N. N. Doan, Kyungeun Kim, Boram Song, Jin Tae Kwak |
| 2021 | MICCAI | 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 |
| 2020 | MICCAI | Improving Dense Pixelwise Prediction of Epithelial Density Using Unsupervised Data Augmentation for Consistency Regularization. | Minh Nguyen Nhat To, Sandeep Sankineni, Sheng Xu, Baris Turkbey, Peter A. Pinto, Vanessa Moreno, Mara Merino, Bradford J. Wood, Jin Tae Kwak |
| 2018 | MICCAI | 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, Baris Turkbey, Peter L. Choyke, Parvin Mousavi, Purang Abolmaesumi |
| 2016 | MICCAI | Classifying Cancer Grades Using Temporal Ultrasound for Transrectal Prostate Biopsy. | 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 |
| 2015 | MICCAI | 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, Nishant Uniyal, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Mehdi Moradi, Parvin Mousavi, Purang Abolmaesumi |
| 2014 | MICCAI | 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, Bradford J. Wood, Peter A. Pinto, Baris Turkbey, Peter L. Choyke, Purang Abolmaesumi, Parvin Mousavi, Mehdi Moradi |