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Researcher
Mi Jung Kim
- Disciplines:Biophysics, Food sciences and (bio)technology, Other chemical sciences, Nutrition and dietetics, Other environmental sciences, Ecology, Environmental science and management, Agricultural animal production
Affiliations
- Department of Environmental Technology, Food Technology and Molecular Biotechnology (Department)
Member
From31 Mar 2017 → 31 Jan 2021 - Department of Electronics and information systems (Department)
Member
From12 Nov 2015 → Today
Publications
1 - 6 of 6
- Towards diagnosis of rotator cuff tears in 3-D MRI using 3-D convolutional neural networks(2019)
Authors: Mi Jung Kim, Homin Park, J.Y. Kim, Sofie Van Hoecke, Wesley De Neve
Number of pages: 1 - SpliceRover : interpretable convolutional neural networks for improved splice site prediction(2018)
Authors: Fréderic Godin, Mi Jung Kim, Arne Soete, Yvan Saeys, Wesley De Neve
Pages: 4180 - 4188 - Computer-aided diagnosis and localization of glaucoma using deep learning(2018)
Authors: Mi Jung Kim, Ho-min Park, Jasper Zuallaert, Olivier Janssens, Sofie Van Hoecke, Wesley De Neve
Pages: 2357 - 2362 - Interpretable convolutional neural networks for effective translation initiation site prediction(2017)
Authors: Mi Jung Kim, Yvan Saeys, Wesley De Neve, XH Hu, CR Shyu, Y Bromberg, J Gao, Y Gong, D Korkin, I Yoo, et al.
Pages: 1233 - 1237 - Deep learning-based survival analysis identified associations between molecular subtype and optimal adjuvant treatment of patients with gastric cancer
Authors: Jeeyun Lee, Ji Yeong An, Min Gew Choi, Se Hoon Park, Seung Tae Kim, Jun Ho Lee, Tae Sung Sohn, Jae Moon Bae, Sung Kim, Hyuk Lee, et al.
- Web applicable computer-aided diagnosis of glaucoma using deep learning
Authors: Mi Jung Kim, Olivier Janssens, H. Park, Sofie Van Hoecke, Wesley De Neve
Pages: 1 - 5