Philip Chikontwe

According to our database, Philip Chikontwe authored at least 28 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Comput. Biol. Medicine, March, 2024

Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection.

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

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

Myeongkyun Kang, Philip Chikontwe, Dong Kyu Won, Miguel Luna, Sang Hyun Park

Pattern Recognit., December, 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

Neural Networks, September, 2023

Uncertainty-aware semi-supervised few shot segmentation.

Soopil Kim, Philip Chikontwe, Sion An, Sanghyun Park

Pattern Recognit., May, 2023

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

Siwoo Nam, Jaehoon Jeong, Miguel Luna, Philip Chikontwe, Sanghyun Park

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 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-Mosabbeb, Kilian M. Pohl, Sanghyun Park

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

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

Medical Image Anal., 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

CoRR, 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

Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

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

Philip Chikontwe, Soopil Kim, Sang Hyun Park

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Transformation guided representation GAN for pose invariant face recognition.

Philip Chikontwe, Yongbin Gao, Hyo Jong Lee

Multidimens. Syst. Signal Process., 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

Medical Image Anal., 2021

Uncertainty-Aware Semi-Supervised Few Shot Segmentation.

Soopil Kim, Philip Chikontwe, Sang Hyun Park

CoRR, 2021

Self-Supervised Learning based CT Denoising using Pseudo-CT Image Pairs.

Dong Kyu Won, Euijin Jung, Sion An, Philip Chikontwe, Sang Hyun Park

CoRR, 2021

Low-Dose CT Denoising Using Pseudo-CT Image Pairs.

Dong Kyu Won, Euijin Jung, Sion An, Philip Chikontwe, Sang Hyun Park

Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 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

Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

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

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Multiple Instance Learning with Center Embeddings for Histopathology Classification.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

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

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

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

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

Enhancement of Perivascular Spaces Using Densely Connected Deep Convolutional Neural Network.

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

IEEE Access, 2019

Catheter Synthesis in X-Ray Fluoroscopy with Generative Adversarial Networks.

Ihsan Ullah, Philip Chikontwe, Sang Hyun Park

Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019

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

Ihsan Ullah, Philip Chikontwe, Sang Hyun Park

Proceedings of the International Conference on Artificial Intelligence in Information and Communication, 2019

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

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018

Deep Multi-Task Network for Learning Person Identity and Attributes.

Philip Chikontwe, Hyo Jong Lee

IEEE Access, 2018

2017

Face sketch synthesis using conditional adversarial networks.

Philip Chikontwe, Lee Hyo Jong

Proceedings of the International Conference on Information and Communication Technology Convergence, 2017