Philip Chikontwe
Orcid: 0000-0002-6995-2312
According to our database1,
Philip Chikontwe
authored at least 35 papers
between 2017 and 2025.
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Collaborative distances:
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Bibliography
2025
FR-MIL: Distribution Re-Calibration-Based Multiple Instance Learning With Transformer for Whole Slide Image Classification.
IEEE Trans. Medical Imaging, January, 2025
2024
Dual Attention Relation Network With Fine-Tuning for Few-Shot EEG Motor Imagery Classification.
IEEE Trans. Neural Networks Learn. Syst., November, 2024
Attention guided multi-scale cluster refinement with extended field of view for amodal nuclei segmentation.
Comput. Biol. Medicine, March, 2024
Video domain adaptation for semantic segmentation using perceptual consistency matching.
Neural Networks, 2024
Few-shot anomaly detection using positive unlabeled learning with cycle consistency and co-occurrence features.
Expert Syst. Appl., 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Low-Shot Prompt Tuning for Multiple Instance Learning Based Histology Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Structure-preserving image translation for multi-source medical image domain adaptation.
Pattern Recognit., December, 2023
Content preserving image translation with texture co-occurrence and spatial self-similarity for texture debiasing and domain adaptation.
Neural Networks, September, 2023
Pattern Recognit., May, 2023
PROnet: Point Refinement Using Shape-Guided Offset Map for Nuclei Instance Segmentation.
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.
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.
Medical Image Anal., 2022
Weakly-Supervised TILs Segmentation Based on Point Annotations Using Transfer Learning with Point Detector and Projected-Boundary Regressor.
Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022
Feature Re-calibration Based Multiple Instance Learning for Whole Slide Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Multidimens. Syst. Signal Process., 2021
Dual attention multiple instance learning with unsupervised complementary loss for COVID-19 screening.
Medical Image Anal., 2021
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.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
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.
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.
IEEE Access, 2019
Enhancement of Perivascular Spaces Using Densely Connected Deep Convolutional Neural Network.
IEEE Access, 2019
Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019
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.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
2018
IEEE Access, 2018
2017
Proceedings of the International Conference on Information and Communication Technology Convergence, 2017