Philip Chikontwe

Philip Chikontwe

Publications

44 papers and preprints. Also on Google Scholar.

2026

STTTNature Portfolio

Biallelic loss of RB1 in hepatocellular carcinoma as synthetic lethal target for artificial intelligence-guided therapy

Jihyun An, Wonkyung Kim, Xiumei Zhang, Philip Chikontwe, …, Ju Hyun Shim

Signal Transduction and Targeted Therapy, 2026

Paper
arXivPreprint

FDIR: Harmonizing Fidelity and Human-Machine Preference in Lossy Compression Image Restoration

Kuan-Yen Chen, Fang-Yi Su, Philip Chikontwe, Jung-Hsien Chiang

arXiv preprint, 2026

Paper
arXivPreprint

Computational Pathology in the Era of Emerging Foundation and Agentic AI -- International Expert Perspectives on Clinical Integration and Translational Readiness

Qian Da, Yijiang Chen, Min Ho Ju, …, Philip Chikontwe, …, Weiguo Hu

arXiv preprint, 2026

Paper

2025

Information Fusion

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

Information Fusion, 2025

Paper
MedIA

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, Kilian M. Pohl, Sang Hyun Park

Medical Image Analysis, 2025

Paper
IEEE TMI

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, Kilian M. Pohl, Sang Hyun Park

IEEE Transactions on Medical Imaging, 2025

Paper
EMERGE @ MICCAI 2024

Context-Guided Medical Visual Question Answering

Wafa Arsalane, Philip Chikontwe, Miguel A. Cabra de Luna, Myeongkyun Kang, Sang Hyun Park

Workshop on Empowering Medical Image Computing and Research through Early-Career Expertise, 2025

Paper

2024

IEEE TMI

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

IEEE Transactions on Medical Imaging, 2024

Paper
ESWA

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, H. B. Jeon, Sang Hyun Park

Expert Systems with Applications, 2024

Paper
Neural Networks

Video domain adaptation for semantic segmentation using perceptual consistency matching

Ihsan Ullah, Sion An, Myeongkyun Kang, Philip Chikontwe, Hyunki Lee, Jinwoo Choi, Sang Hyun Park

Neural Networks, 2024

Paper
AAAI

Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection

Soopil Kim, Sion An, Philip Chikontwe, Myeongkyun Kang, Ehsan Adeli, Kilian M. Pohl, Sang Hyun Park

Proceedings of the AAAI Conference on Artificial Intelligence, 2024

Paper
Bioengineering

Enhanced Nuclei Segmentation and Classification via Category Descriptors in the SAM Model

Miguel A. Cabra de Luna, Philip Chikontwe, Sang Hyun Park

Bioengineering, 2024

Paper
CIBM

Attention guided multi-scale cluster refinement with extended field of view for amodal nuclei segmentation

Miguel A. Cabra de Luna, Philip Chikontwe, Siwoo Nam, Sang Hyun Park

Computers in Biology and Medicine, 2024

Paper
MICCAI 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

International Conference on Medical Image Computing and Computer-Assisted Intervention, 2024

Paper
MICCAI 2024

InstaSAM: Instance-Aware Segment Any Nuclei Model with Point Annotations

Siwoo Nam, Ho Namgung, Jaehoon Jeong, Miguel A. Cabra de Luna, Soopil Kim, Philip Chikontwe, Sang Hyun Park

International Conference on Medical Image Computing and Computer-Assisted Intervention, 2024

Paper
MICCAI 2024

Low-Shot Prompt Tuning for Multiple Instance Learning Based Histology Classification

Philip Chikontwe, Myeongkyun Kang, Miguel A. Cabra de Luna, Siwoo Nam, Sang Hyun Park

International Conference on Medical Image Computing and Computer-Assisted Intervention, 2024

Paper

2023

Research SquarePreprint

Deep Learning for Microsatellite Instability Prediction in Colorectal Cancer: Impact of Clinicopathologic Variables on Model Performance

Meejeong Kim, Philip Chikontwe, Heounjeong Go, Jae Hoon Jeong, Su‐Jin Shin, Sang Hyun Park, Soo Jeong Nam

Research Square, 2023

Paper
Neural Networks

Content preserving image translation with texture co-occurrence and spatial self-similarity for texture debiasing and domain adaptation

Myeongkyun Kang, Dongkyu Won, Miguel A. Cabra de Luna, Philip Chikontwe, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park

Neural Networks, 2023

Paper
Pattern Recognition

Structure-preserving image translation for multi-source medical image domain adaptation

Myeongkyun Kang, Philip Chikontwe, Dongkyu Won, Miguel A. Cabra de Luna, Sang Hyun Park

Pattern Recognition, 2023

Paper
IEEE TNNLS

Dual Attention Relation Network With Fine-Tuning for Few-Shot EEG Motor Imagery Classification

Sion An, Soopil Kim, Philip Chikontwe, Sang Hyun Park

IEEE Transactions on Neural Networks and Learning Systems, 2023

Paper
Pattern Recognition

Uncertainty-aware semi-supervised few shot segmentation

Soopil Kim, Philip Chikontwe, Sion An, Sang Hyun Park

Pattern Recognition, 2023

Paper
MICCAI 2023

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, Kilian M. Pohl, Sang Hyun Park

International Conference on Medical Image Computing and Computer-Assisted Intervention, 2023

Paper
MICCAI 2023

PROnet: Point Refinement Using Shape-Guided Offset Map for Nuclei Instance Segmentation

Siwoo Nam, Jaehoon Jeong, Miguel A. Cabra de Luna, Philip Chikontwe, Sang Hyun Park

International Conference on Medical Image Computing and Computer-Assisted Intervention, 2023

Paper

2022

CVPR 2022

CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification

Philip Chikontwe, Soopil Kim, Sang Hyun Park

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022

Paper
MedIA

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

Medical Image Analysis, 2022

Paper
MICCAI 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, Sang Hyun Park

International Conference on Medical Image Computing and Computer-Assisted Intervention, 2022

Paper
PRIME 2022

Weakly-Supervised TILs Segmentation Based on Point Annotations Using Transfer Learning with Point Detector and Projected-Boundary Regressor

Siwoo Nam, Myeongkyun Knag, Dongkyu Won, Philip Chikontwe, Byeong‐Joo Noh, Heounjeong Go, Sang Hyun Park

International Workshop on PRedictive Intelligence In MEdicine, 2022

Paper

2021

MedIA

Dual attention multiple instance learning with unsupervised complementary loss for COVID-19 screening

Philip Chikontwe, Miguel A. Cabra de Luna, Myeongkyun Kang, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park

Medical Image Analysis, 2021

Paper
AAAI

Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation

Soopil Kim, Sion An, Philip Chikontwe, Sang Hyun Park

Proceedings of the AAAI Conference on Artificial Intelligence, 2021

Paper
Applied Sciences

Synthesize and Segment: Towards Improved Catheter Segmentation via Adversarial Augmentation

Ihsan Ullah, Philip Chikontwe, Hongsoo Choi, Chang‐Hwan Yoon, Sang Hyun Park

Applied Sciences, 2021

Paper
Multidimensional Systems and Signal Processing

Transformation guided representation GAN for pose invariant face recognition

Philip Chikontwe, Yongbin Gao, Hyo Jong Lee

Multidimensional Systems and Signal Processing, 2021

Paper
Journal of Korean Medical Science

Quantitative Assessment of Chest CT Patterns in COVID-19 and Bacterial Pneumonia Patients: a Deep Learning Perspective

Myeongkyun Kang, Kyung Soo Hong, Philip Chikontwe, Miguel A. Cabra de Luna, Jong Geol Jang, Jongsoo Park, Kyeong Cheol Shin, Sang Hyun Park, June Hong Ahn

Journal of Korean Medical Science, 2021

Paper
PRIME 2021

Low-Dose CT Denoising Using Pseudo-CT Image Pairs

Dongkyu Won, Euijin Jung, Sion An, Philip Chikontwe, Sang Hyun Park

International Workshop on PRedictive Intelligence In MEdicine, 2021

Paper
PRIME 2021

Mixing-AdaSIN: Constructing a De-biased Dataset Using Adaptive Structural Instance Normalization and Texture Mixing

Myeongkyun Kang, Philip Chikontwe, Miguel A. Cabra de Luna, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park

International Workshop on PRedictive Intelligence In MEdicine, 2021

Paper

2020

IROS 2020

Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification

Sion An, Soopil Kim, Philip Chikontwe, Sang Hyun Park

2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020

Paper
MICCAI 2020

Multiple Instance Learning with Center Embeddings for Histopathology Classification

Philip Chikontwe, Meejeong Kim, Soo Jeong Nam, Heounjeong Go, Sang Hyun Park

International Conference on Medical Image Computing and Computer-Assisted Intervention, 2020

Paper
BrainLes 2020

Two-Step U-Nets for Brain Tumor Segmentation and Random Forest with Radiomics for Survival Time Prediction

Soopil Kim, Miguel A. Cabra de Luna, Philip Chikontwe, Sang Hyun Park

International MICCAI Brainlesion Workshop, 2020

Paper

2019

ICAIIC 2019

Guidewire Tip Tracking using U-Net with Shape and Motion Constraints

Ihsan Ullah, Philip Chikontwe, Sang Hyun Park

2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), 2019

Paper
IEEE Access

Enhancement of Perivascular Spaces Using Densely Connected Deep Convolutional Neural Network

Euijin Jung, Philip Chikontwe, Xiaopeng Zong, Weili Lin, Dinggang G. Shen, Sang Hyun Park

IEEE Access, 2019

Paper
IEEE Access

Real-Time Tracking of Guidewire Robot Tips Using Deep Convolutional Neural Networks on Successive Localized Frames

Ihsan Ullah, Philip Chikontwe, Sang Hyun Park

IEEE Access, 2019

Paper
PRIME 2019

Catheter Synthesis in X-Ray Fluoroscopy with Generative Adversarial Networks

Ihsan Ullah, Philip Chikontwe, Sang Hyun Park

International Workshop on PRedictive Intelligence In MEdicine, 2019

Paper

2018

IEEE Access

Deep Multi-Task Network for Learning Person Identity and Attributes

Philip Chikontwe, Hyo Jong Lee

IEEE Access, 2018

Paper

2017

ICTC 2017

Face sketch synthesis using conditional adversarial networks

Philip Chikontwe, Lee Hyo Jong

2017 International Conference on Information and Communication Technology Convergence (ICTC), 2017

Paper
IT Convergence and Security 2017

Towards Robust Face Sketch Synthesis with Style Transfer Algorithms

Philip Chikontwe, Hyo Jong Lee

IT Convergence and Security 2017, 2017

Paper