Sungmin Lee

Off-site smartphone reading of CT images for patients with inconclusive diagnoses of appendicitis from on-call radiologists.

K. Lee, Bohyoung Kim, N. Seong, 2014, AJR. American journal of roentgenology.

Automatic Detection and Segmentation of Thrombi in Abdominal Aortic Aneurysms Using a Mask Region-Based Convolutional Neural Network with Optimized Loss Functions

Sungmin Lee, Byung-Hee Hwang, Younhyun Jung, 2022, Sensors.

HiComet: a high-throughput comet analysis tool for large-scale DNA damage assessment

Joong-Ho Won, Sungroh Yoon, Taehoon Lee, 2018, BMC Bioinformatics.

Will solid-state drives accelerate your bioinformatics? In-depth profiling, performance analysis and beyond

Sungroh Yoon, Hyeyoung Min, Sungmin Lee, 2015, Briefings Bioinform..

FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference

Sungroh Yoon, Jangho Lee, Jungbeom Lee, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation

Sungroh Yoon, Sungmin Lee, Jungbeom Lee, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Mutual Suppression Network for Video Prediction using Disentangled Features

Sungroh Yoon, Sungmin Lee, Jungbeom Lee, 2018, BMVC.

FingerNet: Deep learning-based robust finger joint detection from radiographs

Hyun-Soo Choi, Sungroh Yoon, Minsuk Choi, 2015, 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS).

Robust Tumor Localization with Pyramid Grad-CAM pdf

Sungroh Yoon, Jangho Lee, Jungbeom Lee, 2018, ArXiv.