Philip Chikontwe
Research
My research focuses on developing innovative algorithms for medical image analysis and machine learning, with particular emphasis in the following core areas.
01
Medical Image Analysis
Developing advanced deep learning algorithms for medical image processing, segmentation, and classification. Current focus includes:
- Histopathology image analysis
- Multi-modal medical image processing
- Automated disease detection and classification
Recent papers
- Biallelic loss of RB1 in hepatocellular carcinoma as synthetic lethal target for artificial intelligence-guided therapy STTT 2026
- Computational Pathology in the Era of Emerging Foundation and Agentic AI -- International Expert Perspectives on Clinical Integration and Translational Readiness arXiv 2026
- Efficient one-shot federated learning on medical data using knowledge distillation with image synthesis and client model adaptation MedIA 2025
- Communication Efficient Federated Learning for Multi-Organ Segmentation via Knowledge Distillation With Image Synthesis IEEE TMI 2025
02
Few-Shot Learning
Innovation in learning from limited data samples through:
- Novel neural network architectures
- Transfer learning strategies
- Meta-learning approaches
Recent papers
- Subject-adaptive meta-learning for personalized BCI: A fusion of resting-state EEG signal and task-specific information Information Fusion 2025
- Few-shot anomaly detection using positive unlabeled learning with cycle consistency and co-occurrence features ESWA 2024
- Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection AAAI 2024
- Low-Shot Prompt Tuning for Multiple Instance Learning Based Histology Classification MICCAI 2024
03
Visual-Language Representation
Exploring the intersection of vision and language through:
- Multi-modal learning frameworks
- Cross-modal representation learning
- Image text retrieval
Recent papers
- Computational Pathology in the Era of Emerging Foundation and Agentic AI -- International Expert Perspectives on Clinical Integration and Translational Readiness arXiv 2026
- Context-Guided Medical Visual Question Answering EMERGE @ MICCAI 2024 2025
- Low-Shot Prompt Tuning for Multiple Instance Learning Based Histology Classification MICCAI 2024