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Byungjae Lee
Byungjae Lee
Rebellions Inc.
Verified email at rebellions.ai - Homepage
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Year
From detection of individual metastases to classification of lymph node status at the patient level: the camelyon17 challenge
P Bandi, O Geessink, Q Manson, M Van Dijk, M Balkenhol, M Hermsen, ...
IEEE transactions on medical imaging 38 (2), 550-560, 2018
5012018
Multi-class multi-object tracking using changing point detection
B Lee, E Erdenee, S Jin, MY Nam, YG Jung, PK Rhee
Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016
1702016
Deep learning methods for lung cancer segmentation in whole-slide histopathology images—the acdc@ lunghp challenge 2019
Z Li, J Zhang, T Tan, X Teng, X Sun, H Zhao, L Liu, Y Xiao, B Lee, Y Li, ...
IEEE Journal of Biomedical and Health Informatics 25 (2), 429-440, 2020
872020
A robust and effective approach towards accurate metastasis detection and pn-stage classification in breast cancer
B Lee, K Paeng
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
502018
Efficient object detection using convolutional neural network-based hierarchical feature modeling
B Lee, E Erdenee, S Jin, PK Rhee
Signal, Image and Video Processing 10, 1503-1510, 2016
182016
Breast cancer stage classification in histopathology images
B Lee, K Paeng
Submission Results Camelyon17 Challenge, 2019
32019
LightTrader: World’s first AI-enabled High-Frequency Trading Solution with 16 TFLOPS/64 TOPS Deep Learning Inference Accelerators
H Kim, S Yoo, J Bae, K Bong, Y Boo, K Charfi, HE Kim, HS Kim, J Kim, ...
2022 IEEE Hot Chips 34 Symposium (HCS), 1-10, 2022
12022
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