NEWS & Achievements
Quantitative Imaging & Informatics Laboratory
Latest news and awards from QuIIL
J. Lee et al. "Benchmarking Pathology Foundation Models: Adaptation Strategies and Scenarios" has been accepeted by Computers in Biology and Medicine
NRF mid-career research grant (leap type) under the individual basic research program (2025-2028, PI: Dr. Jin Tae Kwak) awarded to "Multi-purpose Adaptive Scalable Total Artificial Intelligence Solution for Digital Pathology"
T.T.L. Vuong et al. "MoMA: Momentum Contrastive Learning with Multi-head Attention-based Knowledge Distillation for Histopathology Image Analysis" has been accepeted by Medical Image Analysis
D.C. Bui et al. "MECFormer: Multi-task Whole Slide Image Classification with Expert Consultation Network" has been accepeted for presentation at ACCV2024
D.C. Bui et al. "Spatially-constrained and -unconstrained bi-graph interaction network for multi-organ pathology image classification" has been accepeted by IEEE Transactions on Medical Imaging
Sumin Jung et al. "3D Mobile Regression Vision Transformer for Collateral Imaging in Acute Ischemic Stroke" has been accepeted by International Journal of Computer Assisted Radiology and Surgery
Anh T. Nguyen et al. "Towards a text-based quantitative and explainable histopathology image analysis" has been accepeted for presentation at MICCAI2024
Doanh C. Bui et al. "FALFormer: Feature-aware Landmarks Self-attention for Whole-slide Image Classification" has been accepeted for presentation at MICCAI2024
Sumin Jung presents "3D Mobile Regression Vision Transformer for Collateral Imaging in Acute Ischemic Stroke" at CARS2024
NRF Basic Research Laboratory (BRL) follow-up grant (2024-2027, PI: Dr. Chang-su Kim, co-PIs: Drs. Jin Tae Kwak, Eenjun Hwang, and Yeong Jun Ko) awarded to "Order learning laboratory: AI for Comparative Data Analysis and Assessment"
"DAX-Net: a dual-branch dual-task adaptive cross-weight feature fusion network for robust multi-class cancer classification in pathology images" accepted by Computer Methods and Programs in Biomedicine
Doanh C. Bui presents "Efficient semantic segmentation for computational pathology" at SPIE Medical Imaging2024
Jiamu Wang presents "Patch Stitching Data Augmentation for Cancer Classification in Pathology Images" at SPIE Medical Imaging2024
Sanghyeok Shin et al. received undergraduate paper competition award at Autumn Annual Conference of IEIE 2023
QuIIL (Jucheon Lee, Jaeung Lee, and Sumin Jung) was placed 3rd in image quality assessment at Samsung AI Challenge 2023
QuIIL (Jaeung Lee et al.) was awarded the best paper award - Gold Prize at IEEE/IEIE ICCE-Asia 2023
QuIIL (Anh Tien Nguyen and Jin Tae Kwak) was awarded the best paper honorable mention in MedAGI at MICCAI2023
QuIIL (Trinh T.L. Vuong, Doanh C. Bui, and Jin Tae Kwak) won Visual Question Answering task and was placed 2nd in Action Recognition and Action Anticipation tasks in Trauma THOMPSON challenge at MICCAI2023
Jae Ung Lee and Keunho Byeon present "Centroid-aware feature recalibration for cancer grading in pathology images" at MICCAI2023
Trinh Thi Le Vuong presents "Boosting knowledge distillation via random Fourier features for prostate cancer grading in histopathology images" at DART - MICCAI2023 workshop
Anh Tien Nguyen presents "GPC: Generative and general pathology image classifier" at MedAGI - MICCAI2023 workshop
Ju Cheon Lee presents "Order-ViT: Order learning vision transformer for cancer classification in pathology images" at CVAMD - ICCV2023 workshop
"Multi-cell type and multi-level graph aggregation network for cancer grading in pathology images" accepted by Medical Image Analysis
KHIDI research grant for brain-nervous system disease (2023-2026, PI: Dr. Hyun Jeong Kim (Catholic Univ.), co-PIs: Dr. Jin Tae Kwak, Dr. Hong Gee Roh (Konkuk Univ. Hospital)) awarded to "Development of Software for Generating and Analyzing Collateral Imaging"
Doanh Cao Bui is awarded the "Hyundai Motor Chung Mong-Koo Global Scholarship" (2023-2025) for his Master study
News coverage of the Korea-UK Collaboarative R&D project "MitProfiler: A Cloud-based AI Solution for Profiling of Mitotic Figures in Digitised Images of Cancerous TIssue Slides"More
KIAT research grant for Korea-UK Collaborative R&D program (2022-2025, PI: Bohyung Kim (CNAI), co-PIs: Dr. Jin Tae Kwak, UK Partner: Dr. Nasir Rajpoot (Histofy Ltd.)) awarded to "MitProfiler: A Cloud-based AI Solution for Profiling of Mitotic Figures in Digitised Images of Cancerous TIssue Slides"
QuIIL (Trinh Thi Le Vuong) was placed 3rd in Automated Gleason Grading Challenge (AGGC) at MICCAI2022More
IITP research grant for Korea-USA international joint research program (2022-2024, PI: Dr. Giho Park (Sejong Univ.), co-PIs: Dr. Jin Tae Kwak, USA Partner: Dr. Hyesoon Kim (Georgia Tech)) awarded to "Integrated design of light weight AI model and neural processing unit architecture for intelligent edge device"
Ju Heon Oh et al. was awarded in KSC2021 undergraduate paper competition for "An improved COVID-19 detection on chest X-ray using heterogenous image datasets"
NRF research grant for Korea-UK biomedical and health researcher exchange (2021-2022, PI: Dr. Jin Tae Kwak, UK Partner: Dr. Nasir Rajpoot (Warwick Univ.)) awarded to "Wariwick-KU Collaboration on Domain-Invariant Artificial Intelligence for Robust Analysis of Pathology Images"
Trinh Thi Le Voung is awarded the "Hyundai Motor Chung Mong-Koo Global Scholarship" (2021-2025) for her doctoral study
NRF Basic Research Laboratory (BRL) grant (2021-2024, PI: Dr. Chang-su Kim, co-PIs: Drs. Jin Tae Kwak, Eenjun Hwang, and Yeong Jun Ko) awarded to "Order learning laboratory: AI for Comparative Data Analysis and Assessment"
NRF mid-career research grant under the individual basic research program (2021-2025, PI: Dr. Jin Tae Kwak) awarded to "Artificial intelligence for multi-scale multi-level graph analysis in digital pathology image data"
QuIIL (Chang Hee Han) won the AI idea challenge for the application of bigdata in nervous disease.More
NRF research grant for international cooperation (2020-2022, PI: Dr. Jin Tae Kwak, Canadian Partner: Dr. Purang Ablomaesumi (UBC)) awarded to "Unsupervised artificial intelligence for heterogeneous medical data"
QuIIL was placed 5th (1st task) and 3rd (2nd task) in PAIP2019: Liver Cancer Segmentation at MICCAI 2019More
NRF research grant for promoting Korea-Canada research cooperation (2018-2020, PI: Dr. Jin Tae Kwak, Canadian Partners: Drs. Purang Ablomaesumi (UBC) and Parvin Mousavi (Queen's University)) awarded to "Improved Artificial Intelligence System for Real-time Detection and Diagnosis of Prostate Cancer"
QuIIL was placed 7th in BACH ICIAR2018 Grand Challenge on Breast Cancer Histology images : Whole-slide images
QuIIL won MICCAI 2017 Computational Precision Medicine challenge - Digital Pathology : Segmentation of Nuclei in ImagesMore
News coverage of the "Radiology-pathology correlation" paper in RadiologyMore
IITP ICT R&D grant (2017-2018, co-PI: Dr. Jin Tae Kwak) awarded to "A development of bare ground orchard pest diagnosis/prescription platform"
NRF-MSIP early career grant (2016-2020, PI: Dr. Jin Tae Kwak) awarded to "Development of computational technologies to analyze magnetic resonance imaging and digital pathology imaging for improving prostate cancer diagnosis"
IPET grant (2016-2019, Participating Researcher: Dr. Jin Tae Kwak) awarded to "Development of ICT based surveillance system for Fusarium wilt of radish"
NIH Bench-to-Bedside grant (2015-2017, co-PI: Dr. Jin Tae Kwak) awarded to "Integrated planning, navigation, ablation and monitoring for prostate cancer"More
Analytical Scientist selects Scieintific Reports paper in "Landmark Literature: 2015"More