Abhirup Banerjee
Associate Professor
Develops AI and computational methods for cardiovascular imaging, including cardiac shape reconstruction from multimodal medical data.
Abhirup Banerjee's lab at Oxford works on medical imaging & healthcare AI, 3D vision & neural rendering and vision-language & multimodal. 118 papers since 2023, 18 at top venues, mostly MICCAI and ISBI. 8 PhD students and 1 master's student. 4 alumni. Applications close .
At a glance
- papers, 2023–2026
- 31/ year
- at T1 venues
- 15%
- PhD students
- 8
- MS students
- 1
- alumni listed
- 4
Papers by yearfrom the lab homepage, 2023–2026
- 41 papers2026 · T1 11 · collecting
- 33 papers2025 · T1 3
- 27 papers2024 · T1 2
- 17 papers2023 · T1 2
T1 venuesOtherVenues: MICCAI, ISBI, Medical Image Analysis, TMI, npj Digital Medicine
Research focuspaper titles that use each topic's words
- Medical imaging & healthcare AI11 papers
- 3D vision & neural rendering7 papers
- cardiovascular6 papers
- Vision-language & multimodal4 papers
- shape reconstruction2 papers
Paper list
From the lab homepage.
202641 papers
- Engineering Applications of Artificial IntelligenceA Novel Regularized Fuzzy C-Means Clustering Technique for Brain Magnetic Resonance Image Segmentation
- npj Digital MedicineA Systematic Review of Explainable Artificial Intelligence and Cardiac Electrophysiological Models Addressing Sports-Related Sudden Cardiac Death and Arrest in Adolescents and Young Adults
- ISBIA-GODs: Anatomically-Guided Learning for Robust Single-Source Domain-Generalized Optic Disc Segmentation
- Medical Image Analysis (T1)AEM: An Interpretable Multi-task Multi-modal Framework for Cardiac Disease Prediction (opens in a new tab)
- Computer Methods and Programs in BiomedicineAn Automated Computational Pipeline for Generating Large-Scale Cohorts of Patient-Specific Ventricular Models in Electromechanical In Silico Trials (opens in a new tab)
- npj Digital MedicineAn interpretable and explainable neural network to classify sports-related cardiac arrhythmias in professional football athletes (opens in a new tab)
- ACM Transactions on Computing for HealthcareAngioDG: Interpretable Channel-informed Feature-modulated Single-source Domain Generalization for Coronary Vessel Segmentation in X-ray Angiography (opens in a new tab)
- European Heart Journal - Digital HealthApplications of artificial intelligence and computational approaches to imaging for hypertension identification, phenotyping, and outcome prediction: a systematic review (opens in a new tab)
- TMI (T1)CardioPRNet: A Lightweight Network with Adaptive Grids and Progressive Refinement for 3D Whole-Heart Point Cloud Reconstruction
- MICCAI (T1)CONSULT: Consensus through Multi-Agent Discussion for Whole Slide Image Classification
- ACM Transactions on Computing for HealthcareCoronary Arteries Segmentation in Invasive X-ray Angiography: A Comprehensive Review and Benchmarking (opens in a new tab)
- Proceedings of Conference on Medical Image Understanding and Analysis (MIUA)Cross-Architectural Feature Fusion for Coronary Artery Stenosis Detection in X-ray Angiography
202533 papers
- Computerized Medical Imaging and Graphics3D Cardiac Anatomy Generation Using Mesh Latent Diffusion Models
- Computerized Medical Imaging and Graphics3D Cardiac Shape Analysis with Variational Point Cloud Autoencoders for Myocardial Infarction Prediction and Virtual Heart Synthesis (opens in a new tab)
- Proceedings of the International Computing in Cardiology (CinC) ConferenceA Multi-Scale Computational Framework for Human-Based Modelling and Simulation of Adverse Cardiac Remodelling in Type 2 Diabetes (opens in a new tab)
- MICCAI (T1)An Anatomical Significance-Aware Architecture for Explainable Myocardial Infarction Prediction via Multi-task Learning (opens in a new tab)
- eLifeAnatomical Basis of Sex Differences in the Electrocardiogram Identified by Three-dimensional Torso–Heart Imaging Reconstruction Pipeline (opens in a new tab)
- SoftwareXbeta4dist: A Python Package for the Four-Parameter Beta Distribution and Likelihood-Based Estimation (opens in a new tab)
- Proceedings of the International Computing in Cardiology (CinC) ConferenceComparing Manual and Automated Digital Electrode Placement for 12-Lead ECG Using MRI-Based Torso Models (opens in a new tab)
- CirculationContrastive machine learning to quantify hypertensive multi-organ damage and identify new disease phenotypes: a multinational multi-modal study
- Frontiers in Digital HealthDeep Conditional Generative Model for Personalization of 12-Lead Electrocardiograms and Cardiovascular Risk Prediction (opens in a new tab)
- Proceedings of the International Computing in Cardiology (CinC) ConferenceDeep Learning Optimisation for Sports Cardiology: Neural Architecture Search-Driven Arrhythmia Classification (opens in a new tab)
- Medical Image Analysis (T1)Deep Learning-Based Coronary Vessel Segmentation in X-ray Angiography Using Temporal Information (opens in a new tab)
- WACVDeepCA: Deep Learning-Based 3D Coronary Artery Tree Reconstruction from Two 2D Non-Simultaneous X-Ray Angiography Projections (opens in a new tab)
202427 papers
- Journal of Cardio- vascular Magnetic ResonanceAutomated CMR Index of Left Ventricular Diastolic Function Post-acute Myocardial Infarction Provides Independent and Incremental Prediction of Long-term Prognosis When Added to Conventional Indices (opens in a new tab)
- EP EuropaceAutomated continuous rhythm monitoring with implantable cardiac monitor and real-time smartphone alerts during af episodes: SMART-ALERT study (opens in a new tab)
- JACC: Cardiovascular ImagingCardiovascular Magnetic Resonance Before Invasive Coronary Angiography in Suspected Non--ST-Segment Elevation Myocardial Infarction (opens in a new tab)
- Journal of Cardiovascular Magnetic ResonanceCardiovascular Magnetic Resonance Imaging Before Invasive Coronary Angiography in Suspected Non-st-segment Elevation Myocardial Infarction Can Change Management in over One-third of the Patients (opens in a new tab)
- European Heart JournalComprehensive cardiac interval analysis in the WEAR-TECH study cohort by comparing the Apple Watch Series 6 against a simultaneous 12-lead ECG (opens in a new tab)
- EP EuropaceConduction velocity-based functional substrate mapping during atrial fibrillation (AF) enhances identification of AF drivers compared to mapping during sinus rhythm (opens in a new tab)
- BIBMDeep Learning-based Modelling of Complex Hypertensive Multi-Organ Damage with Uncertainty Quantification from Simple Clinical Measures (opens in a new tab)
- Neural Computing and ApplicationsDeep Multi-metric Training: The Need of Multi-metric Curve Evaluation to Avoid Weak Learning (opens in a new tab)
- STACOMEvaluating Convolution, Attention, and Mamba Based U-Net Models for Multi-class Bi-Atrial Segmentation from LGE-MRI (opens in a new tab)
- MIDLFeasibility and Benefits of Joint Learning from MRI Databases with Different Brain Diseases and Modalities for Segmentation (opens in a new tab)
- Journal of Arrhythmiahttps://onlinelibrary.wiley.com/doi/10.1002/joa3.13124``Real-World (opens in a new tab)
- Medical Image Analysis (T1)Hunting Imaging Biomarkers in Pulmonary Fibrosis: Benchmarks of the AIIB23 Challenge (opens in a new tab)
202317 papers
- EMBC3D Shape-Based Myocardial Infarction Prediction Using Point Cloud Classification Networks (opens in a new tab)
- Frontiers in Cardiovascular MedicineAcute Changes in Myocardial Tissue Characteristics During Hospitalization in Patients with COVID-19 (opens in a new tab)
- STACOMAutomated Coronary Vessels Segmentation in X-ray Angiography Using Graph Attention Network (opens in a new tab)
- iScienceCalcium Dysregulation Combined With Mitochondrial Failure and Electrophysiological Maturity Converge in Parkinson’s iPSC-Dopamine Neurons (opens in a new tab)
- StatCharacterization of a Robust Probabilistic Framework for Brain Magnetic Resonance Image Data Distributions (opens in a new tab)
- STACOMDeep Computational Model for the Inference of Ventricular Activation Properties (opens in a new tab)
- STACOMGenerating Virtual Populations of 3D Cardiac Anatomies with Snowflake-Net (opens in a new tab)
- BIBMHyperScore: A Unified Measure to Model Hypertension Progression Using Multi-modality Measurements and Semi-supervised Learning (opens in a new tab)
- FIMHInfluence of Myocardial Infarction on QRS Properties: A Simulation Study (opens in a new tab)
- EP EuropaceLeft Atrium Surface Mesh Reconstruction from Cardiac MRI (opens in a new tab)
- STACOMMesh U-Nets for 3D Cardiac Deformation Modeling (opens in a new tab)
- Heart RhythmMRI versus Ultrasound: Exploring the Influence of Imaging Modality on the Fidelity of Non-Contact Charge Density Mapping (opens in a new tab)
Where alumni went4 listed, 0% to industry
Industry 0Academia 3
Also to
- St Peter's College and did her Final-Year Project on "Deep learning models for cardiovascular disease classification from cardiac MRI" under the Primary Supervision of Dr Banerjee
- St. Catherine’s College and did his Master's thesis focusing on enhancing nanomedicine rational design and predictive modeling under the Primary Supervision of Dr Banerjee
- University of Oxford
Apply to Oxford2027-28
DPhil in Computer Science
- Round
- 2027-28 entry (January round)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
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Not yet confirmed for this intake.
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