| 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 | 625 | 2018 |
| 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 | 176 | 2016 |
| 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 | 127 | 2020 |
| 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 | 65 | 2018 |
| 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 | 21 | 2016 |
| Breast cancer stage classification in histopathology images B Lee, K Paeng Submission Results Camelyon17 Challenge, 2019 | 5 | 2019 |
| 2.4 ATOMUS: A 5nm 32TFLOPS/128TOPS ML System-on-Chip for Latency Critical Applications CH Yu, HE Kim, S Shin, K Bong, H Kim, Y Boo, J Bae, M Kwon, K Charfi, ... 2024 IEEE International Solid-State Circuits Conference (ISSCC) 67, 42-44, 2024 | 1 | 2024 |
| 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 | 1 | 2022 |
