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
442 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
399 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
338 2019 Batch-instance normalization for adaptively style-invariant neural networks H Nam, HE Kim
Advances in Neural Information Processing Systems 31, 2558-2567, 2018
273 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
249 2016 Self-transfer learning for weakly supervised lesion localization S Hwang, HE Kim
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016
192 * 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
132 2018 Transferring knowledge to smaller network with class-distance loss SW Kim, HE Kim
ICLR 2017 workshop, 2017
43 2017 Deconvolutional feature stacking for weakly-supervised semantic segmentation HE Kim, S Hwang
arXiv preprint arXiv:1602.04984, 2016
43 * 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
40 2018 Object recognition method and apparatus based on weakly supervised learning HE Kim, SH Hwang
US Patent 10,102,444, 2018
36 2018 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
28 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
24 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
22 2011 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
21 2021 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