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Sungmin Lee
Sungmin Lee
AIX, SK Telecom
Verified email at snu.ac.kr
Title
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Cited by
Year
Ficklenet: Weakly and semi-supervised semantic image segmentation using stochastic inference
J Lee, E Kim, S Lee, J Lee, S Yoon
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
4832019
FingerNet: Deep learning-based robust finger joint detection from radiographs
S Lee, M Choi, H Choi, MS Park, S Yoon
2015 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2015
482015
Frame-to-frame aggregation of active regions in web videos for weakly supervised semantic segmentation
J Lee, E Kim, S Lee, J Lee, S Yoon
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
462019
Robust tumor localization with pyramid grad-cam
S Lee, J Lee, J Lee, CK Park, S Yoon
arXiv preprint arXiv:1805.11393, 2018
392018
HiComet: a high-throughput comet analysis tool for large-scale DNA damage assessment
T Lee, S Lee, WY Sim, YM Jung, S Han, JH Won, H Min, S Yoon
BMC bioinformatics 19, 49-61, 2018
262018
Off-site smartphone reading of CT images for patients with inconclusive diagnoses of appendicitis from on-call radiologists
NJ Seong, B Kim, S Lee, HS Park, HJ Kim, H Woo, HS Kang, KH Lee
American Journal of Roentgenology 203 (1), 3-9, 2014
242014
Will solid-state drives accelerate your bioinformatics? In-depth profiling, performance analysis and beyond
S Lee, H Min, S Yoon
Briefings in bioinformatics 17 (4), 713-727, 2016
152016
Mutual suppression network for video prediction using disentangled features
J Lee, J Lee, S Lee, S Yoon
arXiv preprint arXiv:1804.04810, 2018
132018
Robust classification of DNA damage patterns in single cell gel electrophoresis
T Lee, S Lee, WY Sim, YM Jung, S Han, C Chung, JJ Chang, H Min, ...
2013 35th Annual International Conference of the IEEE Engineering in …, 2013
82013
Msnet: Mutual suppression network for disentangled video representations
J Lee, J Lee, S Lee, S Yoon
arXiv preprint arXiv:1804.04810 2, 2018
42018
Measurement of psoriasis-affected area with artificial neural network
WH Lee, S Lee, J Kim, JH Han, YH Kim, J Kim, JH Lee, CH Bang
Journal of the American Academy of Dermatology 88 (3), 731-732, 2023
22023
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