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Kyunghyun Paeng

OCELOT: Overlapped Cell on Tissue Dataset for Histopathology

Mar 24, 2023
Jeongun Ryu, Aaron Valero Puche, JaeWoong Shin, Seonwook Park, Biagio Brattoli, Jinhee Lee, Wonkyung Jung, Soo Ick Cho, Kyunghyun Paeng, Chan-Young Ock, Donggeun Yoo, Sérgio Pereira

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* Accepted for publication at CVPR'23

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PseudoEdgeNet: Nuclei Segmentation only with Point Annotations

Jul 22, 2019
Inwan Yoo, Donggeun Yoo, Kyunghyun Paeng

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* MICCAI 2019 accepted

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Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge

Jul 22, 2018
Mitko Veta, Yujing J. Heng, Nikolas Stathonikos, Babak Ehteshami Bejnordi, Francisco Beca, Thomas Wollmann, Karl Rohr, Manan A. Shah, Dayong Wang, Mikael Rousson, Martin Hedlund, David Tellez, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric I-Chao Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim

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* Overview paper of the TUPAC16 challenge: http://tupac.tue-image.nl/

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A Robust and Effective Approach Towards Accurate Metastasis Detection and pN-stage Classification in Breast Cancer

May 30, 2018
Byungjae Lee, Kyunghyun Paeng

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* Accepted at MICCAI 2018

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A Unified Framework for Tumor Proliferation Score Prediction in Breast Histopathology

Aug 11, 2017
Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Minsoo Kim

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* Accepted to the 3rd Workshop on Deep Learning in Medical Image Analysis (DLMIA 2017), MICCAI 2017

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