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Post-doc Research Fellow @ DGIST.
Philip Chikontwe
Publications | Research | Contact
Biography
I received the B.S. and M.S. degrees in computer science from Abdelhamid Mehri Constantine 2 University, El Khroub, Algeria, and Chonbuk National University, Jeonju, South Korea, in 2015 and 2018, respectively, and the Ph.D. degree in robotics and mechatronics engineering from the Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea, in 2023.
I am currently a Research Fellow with the Department of Robotics Engineering, Medical Imaging and Signal Processing Laboratory, DGIST. My research interests include designing algorithms for medical image analysis (classification, detection and segmentation ..), low-shot learning (few/semi/zero), and visual-language representation learning.
Select Publications
Uncertainty-aware semi-supervised few shot segmentation Soopil Kim, Philip Chikontwe, Sion An and Sang Hyun Park Pattern Recognition, 2023.
Weakly Supervised Segmentation on Neural Compressed Histopathology with Self-Equivariant Regularization. Philip Chikontwe, Hyun Jung Sung, Jaehoon Jong, Meejeong Kim, Heoungjeong Go, Soo Jeong Nam, and Sang Hyun Park Medical Image Analysis, 2022.
Feature Re-calibration based Multiple Instance Learning for Whole Slide Image Classification Philip Chikontwe, Meejeong Kim, Soo Jeong Nam, Heounjeong Go, Hyun Jung Sung and Sang Hyun Park Intl. Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022.
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification Philip Chikontwe, Soopil Kim, and Sang Hyun Park Intl. Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Dual Attention Multiple Instance Learning with Unsupervised Complementary Loss for COVID-19 Screening Philip Chikontwe, Miguel Luna, Myeongkyun Kang, Kyung Soo Hong, June Hong Ahn, and Sang Hyun Park Medical Image Analysis, 2021.