Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study HE Kim*, HH Kim*, BK Han*, KH Kim, K Han, H Nam, EH Lee, EK Kim
The Lancet Digital Health 2 (3), e138-e148, 2020
349 2020 Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms T Schaffter, DSM Buist, CI Lee, Y Nikulin, D Ribli, Y Guan, W Lotter, Z Jie, ...
JAMA network open 3 (3), e200265-e200265, 2020
323 2020 Srm: A style-based recalibration module for convolutional neural networks HJ Lee, HE Kim, H Nam
Proceedings of the IEEE/CVF International conference on computer vision …, 2019
261 2019 Batch-instance normalization for adaptively style-invariant neural networks H Nam, HE Kim
Advances in Neural Information Processing Systems 31, 2558-2567, 2018
245 2018 A novel approach for tuberculosis screening based on deep convolutional neural networks S Hwang*, HE Kim*, J Jeong, HJ Kim
Medical imaging 2016: computer-aided diagnosis 9785, 97852W, 2016
231 2016 Self-transfer learning for weakly supervised lesion localization S Hwang, HE Kim
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016
177 * 2016 Applying data-driven imaging biomarker in mammography for breast cancer screening: preliminary study EK Kim, HE Kim, K Han, BJ Kang, YM Sohn, OH Woo, CW Lee
Scientific reports 8 (1), 2762, 2018
121 2018 Deconvolutional feature stacking for weakly-supervised semantic segmentation HE Kim, S Hwang
arXiv preprint arXiv:1602.04984, 2016
40 * 2016 Keep and learn: Continual learning by constraining the latent space for knowledge preservation in neural networks HE Kim, S Kim, J Lee
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
36 2018 Object recognition method and apparatus based on weakly supervised learning HE Kim, SH Hwang
US Patent 10,102,444, 2018
32 2018 Transferring knowledge to smaller network with class-distance loss SW Kim, HE Kim
ICLR 2017 workshop, 2017
32 2017 A 182 mW 94.3 f/s in Full HD Pattern-Matching Based Image Recognition Accelerator for an Embedded Vision System in 0.13- CMOS Technology JS Park, HE Kim, LS Kim
IEEE transactions on circuits and systems for video technology 23 (5), 832-845, 2012
32 2012 Photometric transformer networks and label adjustment for breast density prediction J Lee, D Yoo, HE Kim
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
23 2019 A unified graphics and vision processor with a 0.89/spl mu/W/fps pose estimation engine for augmented reality JS Yoon, JH Kim, HE Kim, WY Lee, SH Kim, K Chung, JS Park, LS Kim
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 21 (2), 206-216, 2012
23 2012 Homogeneous stream processors with embedded special function units for high-utilization programmable shaders YJ Kim, HE Kim, SH Kim, JS Park, S Paek, LS Kim
IEEE transactions on very large scale integration (VLSI) systems 20 (9 …, 2011
21 2011 Cloud-based pathological analysis system and method HE Kim, S Hwang, P Seung-Wook, JI Lee, J Min-Hong, YOO Dong-Geun, ...
US Patent App. 15/113,680, 2017
19 2017 All-digital hybrid temperature sensor network for dense thermal monitoring S Paek, W Shin, J Lee, HE Kim, JS Park, LS Kim
2013 IEEE International Solid-State Circuits Conference Digest of Technical …, 2013
19 2013 A vision processor with a unified interest-point detection and matching hardware for accelerating a stereo-matching algorithm JS Park, HE Kim, HY Kim, J Lee, LS Kim
IEEE Transactions on Circuits and Systems for Video Technology 26 (12), 2328 …, 2015
15 2015 Hybrid temperature sensor network for area-efficient on-chip thermal map sensing S Paek, W Shin, J Lee, HE Kim, JS Park, LS Kim
IEEE Journal of Solid-State Circuits 50 (2), 610-618, 2015
14 2015 Impact of image compression on deep learning-based mammogram classification YY Jo, YS Choi, HW Park, JH Lee, H Jung, HE Kim, K Ko, CW Lee, ...
Scientific Reports 11 (1), 7924, 2021
12 2021