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ORCIDPhilip Chikontwe
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2020 – today
- 2025
[j14]Philip Chikontwe
, Meejeong Kim, Jaehoon Jeong, Hyun Jung Sung, Heounjeong Go, Soo Jeong Nam, Sang Hyun Park:
FR-MIL: Distribution Re-Calibration-Based Multiple Instance Learning With Transformer for Whole Slide Image Classification. IEEE Trans. Medical Imaging 44(1): 409-421 (2025)- 2024
- [j13]Miguel Luna, Philip Chikontwe, Siwoo Nam, Sang Hyun Park:
Attention guided multi-scale cluster refinement with extended field of view for amodal nuclei segmentation. Comput. Biol. Medicine 170: 108015 (2024) - [j12]Sion An, Jaehong Kim, Soopil Kim, Philip Chikontwe, Jiwook Jung, Hyejeong Jeon, Sang Hyun Park:
Few-shot anomaly detection using positive unlabeled learning with cycle consistency and co-occurrence features. Expert Syst. Appl. 256: 124890 (2024) - [j11]Ihsan Ullah, Sion An, Myeongkyun Kang, Philip Chikontwe, Hyunki Lee, Jinwoo Choi, Sanghyun Park:
Video domain adaptation for semantic segmentation using perceptual consistency matching. Neural Networks 179: 106505 (2024) - [j10]Sion An, Soopil Kim, Philip Chikontwe, Sanghyun Park:
Dual Attention Relation Network With Fine-Tuning for Few-Shot EEG Motor Imagery Classification. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15479-15493 (2024) - [c18]Soopil Kim, Sion An, Philip Chikontwe, Myeongkyun Kang, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park:
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection. AAAI 2024: 8591-8599 - [c17]Siwoo Nam, Hyun Namgung, Jaehoon Jeong, Miguel Luna, Soopil Kim, Philip Chikontwe, Sanghyun Park:
InstaSAM: Instance-Aware Segment Any Nuclei Model with Point Annotations. MICCAI (4) 2024: 232-242 - [c16]Philip Chikontwe, Myeongkyun Kang, Miguel Luna, Siwoo Nam, Sanghyun Park:
Low-Shot Prompt Tuning for Multiple Instance Learning Based Histology Classification. MICCAI (4) 2024: 285-295 - [c15]Sion An, Myeongkyun Kang, Soopil Kim, Philip Chikontwe, Li Shen, Sang Hyun Park:
Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification. MICCAI (11) 2024: 678-688 - [i9]Sion An, Myeongkyun Kang, Soopil Kim, Philip Chikontwe, Li Shen, Sang Hyun Park:
Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification. CoRR abs/2405.19346 (2024) - 2023
- [j9]Myeongkyun Kang, Dong Kyu Won, Miguel Luna, Philip Chikontwe, Kyung Soo Hong, June Hong Ahn, Sanghyun Park:
Content preserving image translation with texture co-occurrence and spatial self-similarity for texture debiasing and domain adaptation. Neural Networks 166: 722-737 (2023) - [j8]Soopil Kim, Philip Chikontwe, Sion An, Sanghyun Park:
Uncertainty-aware semi-supervised few shot segmentation. Pattern Recognit. 137: 109292 (2023) - [j7]Myeongkyun Kang, Philip Chikontwe, Dong Kyu Won, Miguel Luna, Sang Hyun Park:
Structure-preserving image translation for multi-source medical image domain adaptation. Pattern Recognit. 144: 109840 (2023) - [c14]Myeongkyun Kang, Philip Chikontwe, Soopil Kim, Kyong Hwan Jin, Ehsan Adeli-Mosabbeb, Kilian M. Pohl, Sanghyun Park:
One-Shot Federated Learning on Medical Data Using Knowledge Distillation with Image Synthesis and Client Model Adaptation. MICCAI (2) 2023: 521-531 - [c13]Siwoo Nam, Jaehoon Jeong, Miguel Luna, Philip Chikontwe, Sanghyun Park:
PROnet: Point Refinement Using Shape-Guided Offset Map for Nuclei Instance Segmentation. MICCAI (1) 2023: 528-538 - [i8]Soopil Kim, Sion An, Philip Chikontwe, Myeongkyun Kang, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park:
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection. CoRR abs/2312.13783 (2023) - 2022
- [j6]Philip Chikontwe, Hyun Jung Sung, Jaehoon Jeong, Meejeong Kim, Heounjeong Go, Soo Jeong Nam, Sang Hyun Park:
Weakly supervised segmentation on neural compressed histopathology with self-equivariant regularization. Medical Image Anal. 80: 102482 (2022) - [c12]Philip Chikontwe, Soopil Kim, Sang Hyun Park:
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification. CVPR 2022: 14534-14543 - [c11]Siwoo Nam, Myeongkyun Kang, Dong Kyu Won, Philip Chikontwe, Byeong-Joo Noh, Heounjeong Go, Sanghyun Park:
Weakly-Supervised TILs Segmentation Based on Point Annotations Using Transfer Learning with Point Detector and Projected-Boundary Regressor. PRIME@MICCAI 2022: 115-125 - [c10]Philip Chikontwe, Soo Jeong Nam, Heounjeong Go, Meejeong Kim, Hyun Jung Sung, Sanghyun Park:
Feature Re-calibration Based Multiple Instance Learning for Whole Slide Image Classification. MICCAI (2) 2022: 420-430 - [i7]Philip Chikontwe, Soopil Kim, Sang Hyun Park:
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification. CoRR abs/2203.13465 (2022) - [i6]Philip Chikontwe, Soo Jeong Nam, Heounjeong Go, Meejeong Kim, Hyun Jung Sung, Sang Hyun Park:
Feature Re-calibration based MIL for Whole Slide Image Classification. CoRR abs/2206.10878 (2022) - 2021
- [j5]Philip Chikontwe, Miguel Luna, Myeongkyun Kang, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park:
Dual attention multiple instance learning with unsupervised complementary loss for COVID-19 screening. Medical Image Anal. 72: 102105 (2021) - [j4]Philip Chikontwe, Yongbin Gao, Hyo Jong Lee:
Transformation guided representation GAN for pose invariant face recognition. Multidimens. Syst. Signal Process. 32(2): 633-649 (2021) - [c9]Soopil Kim, Sion An, Philip Chikontwe, Sang Hyun Park:
Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation. AAAI 2021: 1808-1816 - [c8]Dong Kyu Won, Euijin Jung, Sion An, Philip Chikontwe, Sang Hyun Park:
Low-Dose CT Denoising Using Pseudo-CT Image Pairs. PRIME@MICCAI 2021: 1-10 - [c7]Myeongkyun Kang, Philip Chikontwe, Miguel Luna, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park:
Mixing-AdaSIN: Constructing a De-biased Dataset Using Adaptive Structural Instance Normalization and Texture Mixing. PRIME@MICCAI 2021: 37-46 - [i5]Myeongkyun Kang, Philip Chikontwe, Miguel Luna, Kyung Soo Hong, June Hong Ahn, Sang Hyun Park:
Mixing-AdaSIN: Constructing a de-biased dataset using Adaptive Structural Instance Normalization and texture Mixing. CoRR abs/2103.14255 (2021) - [i4]Dong Kyu Won, Euijin Jung, Sion An, Philip Chikontwe, Sang Hyun Park:
Self-Supervised Learning based CT Denoising using Pseudo-CT Image Pairs. CoRR abs/2104.02326 (2021) - [i3]Soopil Kim, Philip Chikontwe, Sang Hyun Park:
Uncertainty-Aware Semi-Supervised Few Shot Segmentation. CoRR abs/2110.08954 (2021) - 2020
- [c6]Sion An, Soopil Kim, Philip Chikontwe, Sang Hyun Park:
Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification. IROS 2020: 10933-10938 - [c5]Philip Chikontwe, Meejeong Kim, Soo Jeong Nam, Heounjeong Go, Sang Hyun Park:
Multiple Instance Learning with Center Embeddings for Histopathology Classification. MICCAI (5) 2020: 519-528 - [i2]Sion An, Soopil Kim, Philip Chikontwe, Sang Hyun Park:
Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification. CoRR abs/2003.01300 (2020) - [i1]Soopil Kim, Sion An, Philip Chikontwe, Sang Hyun Park:
Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation. CoRR abs/2011.09608 (2020)
2010 – 2019
- 2019
- [j3]Euijin Jung, Philip Chikontwe, Xiaopeng Zong, Weili Lin, Dinggang Shen, Sang Hyun Park:
Enhancement of Perivascular Spaces Using Densely Connected Deep Convolutional Neural Network. IEEE Access 7: 18382-18391 (2019) - [j2]Ihsan Ullah, Philip Chikontwe, Sang Hyun Park:
Real-Time Tracking of Guidewire Robot Tips Using Deep Convolutional Neural Networks on Successive Localized Frames. IEEE Access 7: 159743-159753 (2019) - [c4]Soopil Kim, Miguel Luna, Philip Chikontwe, Sang Hyun Park:
Two-Step U-Nets for Brain Tumor Segmentation and Random Forest with Radiomics for Survival Time Prediction. BrainLes@MICCAI (1) 2019: 200-209 - [c3]Ihsan Ullah, Philip Chikontwe, Sang Hyun Park:
Guidewire Tip Tracking using U-Net with Shape and Motion Constraints. ICAIIC 2019: 215-217 - [c2]Ihsan Ullah, Philip Chikontwe, Sang Hyun Park:
Catheter Synthesis in X-Ray Fluoroscopy with Generative Adversarial Networks. PRIME@MICCAI 2019: 125-133 - 2018
- [j1]Philip Chikontwe, Hyo Jong Lee:
Deep Multi-Task Network for Learning Person Identity and Attributes. IEEE Access 6: 60801-60811 (2018) - 2017
- [c1]Philip Chikontwe, Lee Hyo Jong:
Face sketch synthesis using conditional adversarial networks. ICTC 2017: 373-378
Coauthor Index
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last updated on 2025-01-27 00:47 CET by the dblp team
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