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Post-doc Research Fellow @ DGIST.

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Journals

  1. Kang, Myeongkyun, Philip Chikontwe, Donkyu Won, Miguel Luna, and Sang Hyun Park. Structure-preserving image translation for multi-source medical image domain adaptation. Pattern Recognition (2023).
  2. An, Sion, Soopil Kim, Philip Chikontwe, and Sang Hyun Park. Dual Attention Relation Network With Fine-Tuning for Few-Shot EEG Motor Imagery Classification. IEEE Transactions on Neural Networks and Learning Systems (2023).
  3. Soopil Kim, Philip Chikontwe, Sion An and Sang Hyun Park. Uncertainty-aware semi-supervised few shot segmentation. Pattern Recognition (2023).
  4. Philip Chikontwe, Hyun Jung Sung, Jaehoon Jong, Meejeong Kim, Heoungjeong Go, Soo Jeong Nam, and Sang Hyun Park. Weakly Supervised Segmentation on Neural Compressed Histopathology with Self-Equivariant Regularization. Medical Image Analysis (2022).
  5. Philip Chikontwe, Yongbin Gao, and Hyo Jong Lee. Transformation guided representation GAN for poseinvariant face recognition. Multidimensional Systems and Signal Processing (2021):
  6. Kang, Myeongkyun, Kyung Soo Hong, Philip Chikontwe, Miguel Luna, Jong Geol Jang, Jongsoo Park, Kyeong-Cheol Shin, Sang Hyun Park, and June Hong Ahn. Quantitative assessment of chest CT patterns in COVID-19 and bacterial pneumonia patients: a deep learning perspective. Journal of Korean medical science (2021).
  7. Philip Chikontwe, Miguel Luna, Myeongkyun Kang, Kyung Soo Hong, June Hong Ahn, and Sang Hyun Park. Dual Attention Multiple Instance Learning with Unsupervised Complementary Loss for COVID-19 Screening. Medical Image Analysis (2021).
  8. Philip Chikontwe, Ullah, Ihsan, Hongsoo Choi, Chang-Hwan Yoon, and Sang Hyun Park. Synthesize and Segment: Towards Improved Catheter Segmentation via Adversarial Augmentation. Applied Sciences (2021).
  9. Jung, Euijin, Philip Chikontwe, Xiaopeng Zong, Weili Lin, Dinggang Shen, and Sang Hyun Park. Enhancement of perivascular spaces using densely connected deep convolutional neural network. IEEE Access 7 (2019).
  10. Philip Chikontwe, and Hyo Jong Lee. Deep multi-task network for learning person identity and attributes. IEEE Access 6 (2018).

Conferences

  1. Philip Chikontwe, Meejeong Kim, Soo Jeong Nam, Heounjeong Go, Hyun Jung Sung and Sang Hyun Park. Feature Re-calibration based Multiple Instance Learning for Whole Slide Image Classification. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). 2022.
  2. Philip Chikontwe, Soopil Kim, and Sang Hyun Park. CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification. Conference on Computer Vision and Pattern Recognition (CVPR). 2022.
  3. Siwoo Nam, Myeongkyun Knag, Dongkyu Won, Philip Chikontwe, Byeong-Joo Noh, Heounjeong Go, Sang Hyun Park. Weakly-Supervised TILs Segmentation Based on Point Annotations Using Transfer Learning with Point Detector and Projected-Boundary Regressor. In International MICCAI Workshop on PRedictive Intelligence In Medicine, 2022.
  4. Won, Dongkyu, Euijin Jung, Sion An, Philip Chikontwe, and Sang Hyun Park. Low-Dose CT Denoising Using Pseudo-CT Image Pairs. In International MICCAI Workshop on PRedictive Intelligence In Medicine, 2021.
  5. Kang, Myeongkyun, Philip Chikontwe, Miguel Luna, Kyung Soo Hong, June Hong Ahn, and Sang Hyun Park. Mixing-AdaSIN: Constructing a de-biased dataset using Adaptive Structural Instance Normalization and texture Mixing. In International MICCAI Workshop on PRedictive Intelligence In Medicine, 2021.
  6. Kim, Soopil, Sion An, Philip Chikontwe, and Sang Hyun Park. Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation. In Conference on Artificial Intelligence (AAAI), 2021.
  7. Philip Chikontwe, Meejeong Kim, Soo Jeong Nam, Heounjeong Go, and Sang Hyun Park. Multiple instance learning with center embeddings for histopathology classification. In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020.
  8. An, Sion, Soopil Kim, Philip Chikontwe, and Sang Hyun Park. Few-shot relation learning with attention for EEG-based motor imagery classification. International Conference on Intelligent Robots and Systems (IROS), 2020.
  9. Kim, Soopil, Miguel Luna, Philip Chikontwe, and Sang Hyun Park. Two-step U-Nets for brain tumor segmentation and random forest with radiomics for survival time prediction. In International MICCAI Brainlesion Workshop, 2019.
  10. Ullah, Ihsan, Philip Chikontwe, and Sang Hyun Park. Catheter synthesis in X-Ray fluoroscopy with generative adversarial networks. In International MICCAI Workshop on PRedictive Intelligence In MEdicine, 2019.