Face sketch synthesis using conditional adversarial networks. - Philip Chikontwe; Lee Hyo Jong (ICTC, 2017)

Deep Multi-Task Network for Learning Person Identity and Attributes. - Philip Chikontwe; Hyo Jong Lee (IEEE Access, 2018)

Two-Step U-Nets for Brain Tumor Segmentation and Random Forest with Radiomics for Survival Time Prediction. - Soopil Kim; Miguel Luna; Philip Chikontwe; Sang Hyun Park 004 (BrainLes@MICCAI (1), 2019)

Guidewire Tip Tracking using U-Net with Shape and Motion Constraints. - Ihsan Ullah 005; Philip Chikontwe; Sang Hyun Park 004 (ICAIIC, 2019)

Catheter Synthesis in X-Ray Fluoroscopy with Generative Adversarial Networks. - Ihsan Ullah 005; Philip Chikontwe; Sang Hyun Park 004 (PRIME@MICCAI, 2019)

Enhancement of Perivascular Spaces Using Densely Connected Deep Convolutional Neural Network. - Euijin Jung; Philip Chikontwe; Xiaopeng Zong; Weili Lin; Dinggang Shen; Sang Hyun Park 004 (IEEE Access, 2019)

Real-Time Tracking of Guidewire Robot Tips Using Deep Convolutional Neural Networks on Successive Localized Frames. - Ihsan Ullah 005; Philip Chikontwe; Sang Hyun Park 004 (IEEE Access, 2019)

Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification. - Sion An; Soopil Kim; Philip Chikontwe; Sang Hyun Park 004 (IROS, 2020)

Multiple Instance Learning with Center Embeddings for Histopathology Classification. - Philip Chikontwe; Meejeong Kim; Soo Jeong Nam; Heounjeong Go; Sang Hyun Park 004 (MICCAI (5), 2020)

Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation. - Soopil Kim; Sion An; Philip Chikontwe; Sang Hyun Park 004 (AAAI, 2021)

Mixing-AdaSIN: Constructing a De-biased Dataset Using Adaptive Structural Instance Normalization and Texture Mixing. - Myeongkyun Kang; Philip Chikontwe; Miguel Luna; Kyung Soo Hong; June Hong Ahn; Sang Hyun Park 004 (PRIME@MICCAI, 2021)

Low-Dose CT Denoising Using Pseudo-CT Image Pairs. - Dong Kyu Won; Euijin Jung; Sion An; Philip Chikontwe; Sang Hyun Park 004 (PRIME@MICCAI, 2021)

Self-Supervised Learning based CT Denoising using Pseudo-CT Image Pairs. - Dong Kyu Won; Euijin Jung; Sion An; Philip Chikontwe; Sang Hyun Park 004 (CoRR, 2021)

Uncertainty-Aware Semi-Supervised Few Shot Segmentation. - Soopil Kim; Philip Chikontwe; Sang Hyun Park 004 (CoRR, 2021)

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; Sang Hyun Park 004 (Medical Image Anal., 2021)

Transformation guided representation GAN for pose invariant face recognition. - Philip Chikontwe; Yongbin Gao; Hyo Jong Lee (Multidimens. Syst. Signal Process., 2021)

CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification. - Philip Chikontwe; Soopil Kim; Sang Hyun Park 004 (CVPR, 2022)

Feature Re-calibration Based Multiple Instance Learning for Whole Slide Image Classification. - Philip Chikontwe; Soo Jeong Nam; Heounjeong Go; Meejeong Kim; Hyun Jung Sung; Sanghyun Park 004 (MICCAI (2), 2022)

Weakly-Supervised TILs Segmentation Based on Point Annotations Using Transfer Learning with Point Detector and Projected-Boundary Regressor. - Siwoo Nam; Myeongkyun Kang; Dong Kyu Won; Philip Chikontwe; Byeong-Joo Noh; Heounjeong Go; Sanghyun Park 004 (PRIME@MICCAI, 2022)

Feature Re-calibration based MIL for Whole Slide Image Classification. - Philip Chikontwe; Soo Jeong Nam; Heounjeong Go; Meejeong Kim; Hyun Jung Sung; Sang Hyun Park 004 (CoRR, 2022)

Weakly supervised segmentation on neural compressed histopathology with self-equivariant regularization. - Philip Chikontwe; Hyun Jung Sung; Jaehoon Jeong; Meejeong Kim; Heounjeong Go; Soo Jeong Nam; Sang Hyun Park 004 (Medical Image Anal., 2022)

One-Shot Federated Learning on Medical Data Using Knowledge Distillation with Image Synthesis and Client Model Adaptation. - Myeongkyun Kang; Philip Chikontwe; Soopil Kim; Kyong Hwan Jin; Ehsan Adeli-Mosabbeb; Kilian M. Pohl; Sanghyun Park 004 (MICCAI (2), 2023)

PROnet: Point Refinement Using Shape-Guided Offset Map for Nuclei Instance Segmentation. - Siwoo Nam; Jaehoon Jeong; Miguel Luna; Philip Chikontwe; Sanghyun Park 004 (MICCAI (1), 2023)

Uncertainty-aware semi-supervised few shot segmentation. - Soopil Kim; Philip Chikontwe; Sion An; Sanghyun Park 004 (Pattern Recognit., 2023)

Content preserving image translation with texture co-occurrence and spatial self-similarity for texture debiasing and domain adaptation. - Myeongkyun Kang; Dong Kyu Won; Miguel Luna; Philip Chikontwe; Kyung Soo Hong; June Hong Ahn; Sanghyun Park 004 (Neural Networks, 2023)

Structure-preserving image translation for multi-source medical image domain adaptation. - Myeongkyun Kang; Philip Chikontwe; Dong Kyu Won; Miguel Luna; Sang Hyun Park 004 (Pattern Recognit., 2023)

Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection. - Soopil Kim; Sion An; Philip Chikontwe; Myeongkyun Kang; Ehsan Adeli 001; Kilian M. Pohl; Sanghyun Park 004 (AAAI, 2024)

Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification. - Sion An; Myeongkyun Kang; Soopil Kim; Philip Chikontwe; Li Shen; Sang Hyun Park 004 (MICCAI (11), 2024)

Low-Shot Prompt Tuning for Multiple Instance Learning Based Histology Classification. - Philip Chikontwe; Myeongkyun Kang; Miguel Luna; Siwoo Nam; Sanghyun Park 004 (MICCAI (4), 2024)

InstaSAM: Instance-Aware Segment Any Nuclei Model with Point Annotations. - Siwoo Nam; Hyun Namgung; Jaehoon Jeong; Miguel Luna; Soopil Kim; Philip Chikontwe; Sanghyun Park 004 (MICCAI (4), 2024)

Few-shot anomaly detection using positive unlabeled learning with cycle consistency and co-occurrence features. - Sion An; Jaehong Kim; Soopil Kim; Philip Chikontwe; Jiwook Jung; Hyejeong Jeon; Sang Hyun Park 004 (Expert Syst. Appl., 2024)

Video domain adaptation for semantic segmentation using perceptual consistency matching. - Ihsan Ullah 005; Sion An; Myeongkyun Kang; Philip Chikontwe; Hyunki Lee; Jinwoo Choi 001; Sanghyun Park 004 (Neural Networks, 2024)

Attention guided multi-scale cluster refinement with extended field of view for amodal nuclei segmentation. - Miguel Luna; Philip Chikontwe; Siwoo Nam; Sang Hyun Park 004 (Comput. Biol. Medicine, 2024)

Dual Attention Relation Network With Fine-Tuning for Few-Shot EEG Motor Imagery Classification. - Sion An; Soopil Kim; Philip Chikontwe; Sanghyun Park 004 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Efficient one-shot federated learning on medical data using knowledge distillation with image synthesis and client model adaptation. - Myeongkyun Kang; Philip Chikontwe; Soopil Kim; Kyong Hwan Jin; Ehsan Adeli 001; Kilian M. Pohl; Sanghyun Park 004 (Medical Image Anal., 2025)

FR-MIL: Distribution Re-Calibration-Based Multiple Instance Learning With Transformer for Whole Slide Image Classification. - Philip Chikontwe; Meejeong Kim; Jaehoon Jeong; Hyun Jung Sung; Heounjeong Go; Soo Jeong Nam; Sang Hyun Park 004 (IEEE Trans. Medical Imaging, 2025)

Communication Efficient Federated Learning for Multi-Organ Segmentation via Knowledge Distillation With Image Synthesis. - Soopil Kim; Heejung Park; Philip Chikontwe; Myeongkyun Kang; Kyong Hwan Jin; Ehsan Adeli 001; Kilian M. Pohl; Sang Hyun Park 004 (IEEE Trans. Medical Imaging, 2025)

Subject-adaptive meta-learning for personalized BCI: A fusion of resting-state EEG signal and task-specific information. - Sion An; Myeongkyun Kang; Soopil Kim; Philip Chikontwe; Li Shen; Sang Hyun Park 004 (Inf. Fusion, 2026)