Philip Chikontwe

45 papers A* 3A 1Journal 27Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Computational Pathology in the Era of Emerging Foundation and Agentic AI - International Expert Perspectives on Clinical Integration and Translational Readiness. CoRR Qian Da, Yijiang Chen, Min Ju, Zheyi Ji, Albert Zhou, Wenwen Wang, Matthew Abikenari, Philip Chikontwe, Guillaume Larghero, Bowen Chen, Peter Neidlinger, Dingrong Zhong, Shuhao Wang, Wei Xu, Drew F. K. Williamson, Germán Corredor, Sen Yang, Le Lu, Xiao Han, Kun-Hsing Yu, Jun-Zhou Huang, Laura Barisoni, Geert Litjens, Anant Madabhushi, Lifeng Zhu, Chaofu Wang, Junhan Zhao, Weiguo Hu
2026	J	`jnl`	Subject-adaptive meta-learning for personalized BCI: A fusion of resting-state EEG signal and task-specific information. Inf. Fusion Sion An, Myeongkyun Kang, Soopil Kim, Philip Chikontwe, Li Shen, Sang Hyun Park
2025	J	`jnl`	Communication Efficient Federated Learning for Multi-Organ Segmentation via Knowledge Distillation With Image Synthesis. IEEE Trans. Medical Imaging Soopil Kim, Heejung Park, Philip Chikontwe, Myeongkyun Kang, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sang Hyun Park
2025	J	`jnl`	Efficient one-shot federated learning on medical data using knowledge distillation with image synthesis and client model adaptation. Medical Image Anal. Myeongkyun Kang, Philip Chikontwe, Soopil Kim, Kyong Hwan Jin, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park
2025	J	`jnl`	FR-MIL: Distribution Re-Calibration-Based Multiple Instance Learning With Transformer for Whole Slide Image Classification. IEEE Trans. Medical Imaging Philip Chikontwe, Meejeong Kim, Jaehoon Jeong, Hyun Jung Sung, Heounjeong Go, Soo Jeong Nam, Sang Hyun Park
2024	J	`jnl`	Attention guided multi-scale cluster refinement with extended field of view for amodal nuclei segmentation. Comput. Biol. Medicine Miguel Luna, Philip Chikontwe, Siwoo Nam, Sang Hyun Park
2024	J	`jnl`	Dual Attention Relation Network With Fine-Tuning for Few-Shot EEG Motor Imagery Classification. IEEE Trans. Neural Networks Learn. Syst. Sion An, Soopil Kim, Philip Chikontwe, Sanghyun Park
2024	A*	`conf`	Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection. AAAI Soopil Kim, Sion An, Philip Chikontwe, Myeongkyun Kang, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park
2024	J	`jnl`	Few-shot anomaly detection using positive unlabeled learning with cycle consistency and co-occurrence features. Expert Syst. Appl. Sion An, Jaehong Kim, Soopil Kim, Philip Chikontwe, Jiwook Jung, Hyejeong Jeon, Sang Hyun Park
2024	—	`conf`	InstaSAM: Instance-Aware Segment Any Nuclei Model with Point Annotations. MICCAI (4) Siwoo Nam, Hyun Namgung, Jaehoon Jeong, Miguel Luna, Soopil Kim, Philip Chikontwe, Sanghyun Park
2024	—	`conf`	Low-Shot Prompt Tuning for Multiple Instance Learning Based Histology Classification. MICCAI (4) Philip Chikontwe, Myeongkyun Kang, Miguel Luna, Siwoo Nam, Sanghyun Park
2024	—	`conf`	Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification. MICCAI (11) Sion An, Myeongkyun Kang, Soopil Kim, Philip Chikontwe, Li Shen, Sang Hyun Park
2024	J	`jnl`	Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification. CoRR Sion An, Myeongkyun Kang, Soopil Kim, Philip Chikontwe, Li Shen, Sang Hyun Park
2024	J	`jnl`	Video domain adaptation for semantic segmentation using perceptual consistency matching. Neural Networks Ihsan Ullah, Sion An, Myeongkyun Kang, Philip Chikontwe, Hyunki Lee, Jinwoo Choi, Sanghyun Park
2023	J	`jnl`	Content preserving image translation with texture co-occurrence and spatial self-similarity for texture debiasing and domain adaptation. Neural Networks Myeongkyun Kang, Dong Kyu Won, Miguel Luna, Philip Chikontwe, Kyung Soo Hong, June Hong Ahn, Sanghyun Park
2023	J	`jnl`	Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection. CoRR Soopil Kim, Sion An, Philip Chikontwe, Myeongkyun Kang, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park
2023	—	`conf`	One-Shot Federated Learning on Medical Data Using Knowledge Distillation with Image Synthesis and Client Model Adaptation. MICCAI (2) Myeongkyun Kang, Philip Chikontwe, Soopil Kim, Kyong Hwan Jin, Ehsan Adeli-Mosabbeb, Kilian M. Pohl, Sanghyun Park
2023	—	`conf`	PROnet: Point Refinement Using Shape-Guided Offset Map for Nuclei Instance Segmentation. MICCAI (1) Siwoo Nam, Jaehoon Jeong, Miguel Luna, Philip Chikontwe, Sanghyun Park
2023	J	`jnl`	Structure-preserving image translation for multi-source medical image domain adaptation. Pattern Recognit. Myeongkyun Kang, Philip Chikontwe, Dong Kyu Won, Miguel Luna, Sang Hyun Park
2023	J	`jnl`	Uncertainty-aware semi-supervised few shot segmentation. Pattern Recognit. Soopil Kim, Philip Chikontwe, Sion An, Sanghyun Park
2022	A*	`conf`	CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification. CVPR Philip Chikontwe, Soopil Kim, Sang Hyun Park
2022	J	`jnl`	CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification. CoRR Philip Chikontwe, Soopil Kim, Sang Hyun Park
2022	—	`conf`	Feature Re-calibration Based Multiple Instance Learning for Whole Slide Image Classification. MICCAI (2) Philip Chikontwe, Soo Jeong Nam, Heounjeong Go, Meejeong Kim, Hyun Jung Sung, Sanghyun Park
2022	J	`jnl`	Feature Re-calibration based MIL for Whole Slide Image Classification. CoRR Philip Chikontwe, Soo Jeong Nam, Heounjeong Go, Meejeong Kim, Hyun Jung Sung, Sang Hyun Park
2022	J	`jnl`	Weakly supervised segmentation on neural compressed histopathology with self-equivariant regularization. Medical Image Anal. Philip Chikontwe, Hyun Jung Sung, Jaehoon Jeong, Meejeong Kim, Heounjeong Go, Soo Jeong Nam, Sang Hyun Park
2022	—	`conf`	Weakly-Supervised TILs Segmentation Based on Point Annotations Using Transfer Learning with Point Detector and Projected-Boundary Regressor. PRIME@MICCAI Siwoo Nam, Myeongkyun Kang, Dong Kyu Won, Philip Chikontwe, Byeong-Joo Noh, Heounjeong Go, Sanghyun Park
2021	A*	`conf`	Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation. AAAI Soopil Kim, Sion An, Philip Chikontwe, Sang Hyun Park
2021	J	`jnl`	Dual attention multiple instance learning with unsupervised complementary loss for COVID-19 screening. Medical Image Anal. Philip Chikontwe, Miguel Luna, Myeongkyun Kang, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park
2021	—	`conf`	Low-Dose CT Denoising Using Pseudo-CT Image Pairs. PRIME@MICCAI Dong Kyu Won, Euijin Jung, Sion An, Philip Chikontwe, Sang Hyun Park
2021	—	`conf`	Mixing-AdaSIN: Constructing a De-biased Dataset Using Adaptive Structural Instance Normalization and Texture Mixing. PRIME@MICCAI Myeongkyun Kang, Philip Chikontwe, Miguel Luna, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park
2021	J	`jnl`	Mixing-AdaSIN: Constructing a de-biased dataset using Adaptive Structural Instance Normalization and texture Mixing. CoRR Myeongkyun Kang, Philip Chikontwe, Miguel Luna, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park
2021	J	`jnl`	Self-Supervised Learning based CT Denoising using Pseudo-CT Image Pairs. CoRR Dong Kyu Won, Euijin Jung, Sion An, Philip Chikontwe, Sang Hyun Park
2021	J	`jnl`	Transformation guided representation GAN for pose invariant face recognition. Multidimens. Syst. Signal Process. Philip Chikontwe, Yongbin Gao, Hyo Jong Lee
2021	J	`jnl`	Uncertainty-Aware Semi-Supervised Few Shot Segmentation. CoRR Soopil Kim, Philip Chikontwe, Sang Hyun Park
2020	J	`jnl`	Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation. CoRR Soopil Kim, Sion An, Philip Chikontwe, Sang Hyun Park
2020	A	`conf`	Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification. IROS Sion An, Soopil Kim, Philip Chikontwe, Sang Hyun Park
2020	J	`jnl`	Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification. CoRR Sion An, Soopil Kim, Philip Chikontwe, Sang Hyun Park
2020	—	`conf`	Multiple Instance Learning with Center Embeddings for Histopathology Classification. MICCAI (5) Philip Chikontwe, Meejeong Kim, Soo Jeong Nam, Heounjeong Go, Sang Hyun Park
2019	—	`conf`	Catheter Synthesis in X-Ray Fluoroscopy with Generative Adversarial Networks. PRIME@MICCAI Ihsan Ullah, Philip Chikontwe, Sang Hyun Park
2019	J	`jnl`	Enhancement of Perivascular Spaces Using Densely Connected Deep Convolutional Neural Network. IEEE Access Euijin Jung, Philip Chikontwe, Xiaopeng Zong, Weili Lin, Dinggang Shen, Sang Hyun Park
2019	—	`conf`	Guidewire Tip Tracking using U-Net with Shape and Motion Constraints. ICAIIC Ihsan Ullah, Philip Chikontwe, Sang Hyun Park
2019	J	`jnl`	Real-Time Tracking of Guidewire Robot Tips Using Deep Convolutional Neural Networks on Successive Localized Frames. IEEE Access Ihsan Ullah, Philip Chikontwe, Sang Hyun Park
2019	—	`conf`	Two-Step U-Nets for Brain Tumor Segmentation and Random Forest with Radiomics for Survival Time Prediction. BrainLes@MICCAI (1) Soopil Kim, Miguel Luna, Philip Chikontwe, Sang Hyun Park
2018	J	`jnl`	Deep Multi-Task Network for Learning Person Identity and Attributes. IEEE Access Philip Chikontwe, Hyo Jong Lee
2017	—	`conf`	Face sketch synthesis using conditional adversarial networks. ICTC Philip Chikontwe, Lee Hyo Jong