BP
Bartlomiej Papiez
University of Oxford
Research areas: Medicine · Radiology, Nuclear Medicine and Imaging · Medical Image Segmentation Techniques · Artificial Intelligence in Healthcare and Education · Medical Imaging Techniques and Applications
0000-0002-8432-2511
Employment
Education
Education history is unavailable.
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Projects & funding information is unavailable.
Publications (238)
- Deformation-Recovery diffusion model (DRDM): Instance deformation for image manipulation and synthesis Save
- A systematic review of radiogenomic applications in prostate cancer. Save
- AutoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging, part 2: domain generalization Save
- Deformation-recovery diffusion model (drdm): Instance deformation for image manipulation and synthesis Save
- Exploring the Effectiveness of Deep Features from Domain-Specific Foundation Models in Retinal Image Synthesis Save
- Integrating spatial transcriptomics with MRI reveals distinct radio-spatial genomic profile concordant with prostate cancer clonal heterogeneity. Save
- Interpretable Rheumatoid Arthritis Scoring via Anatomy-Aware Multiple Instance Learning Save
- Public perceptions of health data sharing for artificial intelligence research: a qualitative focus group study in the UK Save
- DiffuSeg: Domain-Driven Diffusion for Medical Image Segmentation Save
- MT-CooL: Multi-Task Cooperative Learning via Flat Minima Searching Save
- A Naive Trick to Accelerate Training of LNCC-Based Deep Image Registration Models Save
- A naive trick to accelerate training of lncc-based deep image registration models Save
- AAAI Bridge Program 2025: AI for Medicine and Healthcare Save
- AAAI Bridge Program 2025: AI for Medicine and Healthcare Save
- AI-driven image analysis and human genetics support the role of artery tortuosity in linking high blood pressure and coronary artery disease risk (Award Candidate) Save
- AI-driven image analysis and human genetics support the role of artery tortuosity in linking high blood pressure and coronary artery disease risk (Award Candidate) Save
- Deep Neural Networks for Predicting Recurrence and Survival in Patients with Esophageal Cancer After Surgery Save
- Diffuseg: domain-driven diffusion for medical image segmentation Save
- Emerging Semantic Segmentation from Positive and Negative Coarse Label Learning Save
- Emerging Semantic Segmentation from Positive and Negative Coarse Label Learning Save