Kanggeun Lee

According to our database, Kanggeun Lee authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

RAMP: response-aware multi-task learning with contrastive regularization for cancer drug response prediction.

Kanggeun Lee, Dongbin Cho, Jinho Jang, Kang Choi, Hyoung-oh Jeong, Jiwon Seo, Won-Ki Jeong, Semin Lee

Briefings Bioinform., January, 2023

I2V: Towards Texture-Aware Self-Supervised Blind Denoising using Self-Residual Learning for Real-World Images.

Kanggeun Lee, Kyungryun Lee, Won-Ki Jeong

CoRR, 2023

Undersampled MRI Reconstruction Using Switchable Interdependent Self-Cooperative Learning Without Paired Training Data.

Suemin Jeon, Kanggeun Lee, Won-Ki Jeong

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Noise2Kernel: Adaptive Self-Supervised Blind Denoising Using a Dilated Convolutional Kernel Architecture.

Kanggeun Lee, Won-Ki Jeong

Sensors, 2022

Scribble-Supervised Cell Segmentation Using Multiscale Contrastive Regularization.

Hyun-Jic Oh, Kanggeun Lee, Won-Ki Jeong

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

ISCL: Interdependent Self-Cooperative Learning for Unpaired Image Denoising.

Kanggeun Lee, Won-Ki Jeong

IEEE Trans. Medical Imaging, 2021

PAIP 2019: Liver cancer segmentation challenge.

Yoo Jung Kim, Hyungjoon Jang, Kyoungbun Lee, Seongkeun Park, Sung-Gyu Min, Choyeon Hong, Jeong Hwan Park, Kanggeun Lee, Jisoo Kim, Wonjae Hong, Hyun Jung, Yanling Liu, Haran Rajkumar, Mahendra Khened, Ganapathy Krishnamurthi, Sen Yang, Xiyue Wang, Chang Hee Han, Jinwook Choi

Medical Image Anal., 2021

Improving the Accuracy of Intrahepatic Cholangiocarcinoma Subtype Classification by Hidden Class Detection via Label Smoothing.

Jing Wei Tan, Kanggeun Lee, Kyoungbun Lee, Won-Ki Jeong

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Neuron Segmentation using Incomplete and Noisy Labels via Adaptive Learning with Structure Priors.

Chanmin Park, Kanggeun Lee, Su Yeon Kim, Fatma Sema Canbakis Cecen, Seok-Kyu Kwon, Won-Ki Jeong

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2019

Removing Imaging Artifacts in Electron Microscopy using an Asymmetrically Cyclic Adversarial Network without Paired Training Data.

Tran Minh Quan, David Grant Colburn Hildebrand, Kanggeun Lee, Logan A. Thomas, Aaron T. Kuan, Wei-Chung Allen Lee, Won-Ki Jeong

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019