Abhirup Banerjee
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View article: From 2D to 3D, Deep Learning-based Shape Reconstruction in Magnetic Resonance Imaging: A Review
From 2D to 3D, Deep Learning-based Shape Reconstruction in Magnetic Resonance Imaging: A Review Open
Deep learning-based 3-dimensional (3D) shape reconstruction from 2-dimensional (2D) magnetic resonance imaging (MRI) has become increasingly important in medical disease diagnosis, treatment planning, and computational modeling. This revie…
View article: Multi-phase deep learning model for automated disease classification from cardiac cine MRI
Multi-phase deep learning model for automated disease classification from cardiac cine MRI Open
Cardiovascular diseases (CVDs) are the major cause of death worldwide. Magnetic resonance imaging (MRI) is the gold standard modality for CVD diagnosis because of its ability to distinguish different types of soft tissues without the use o…
View article: Anatomical basis of sex differences in the electrocardiogram identified by three-dimensional torso-heart imaging reconstruction pipeline
Anatomical basis of sex differences in the electrocardiogram identified by three-dimensional torso-heart imaging reconstruction pipeline Open
The electrocardiogram (ECG) is used for diagnosis and risk stratification following myocardial infarction (MI). Women have a higher incidence of missed MI diagnosis and complications following infarction, and to address this we aim to prov…
View article: Anatomical basis of sex differences in the electrocardiogram identified by three-dimensional torso-heart imaging reconstruction pipeline
Anatomical basis of sex differences in the electrocardiogram identified by three-dimensional torso-heart imaging reconstruction pipeline Open
The electrocardiogram (ECG) is used for diagnosis and risk stratification following myocardial infarction (MI). Women have a higher incidence of missed MI diagnosis and complications following infarction, and to address this we aim to prov…
View article: 3D Cardiac Anatomy Generation Using Mesh Latent Diffusion Models
3D Cardiac Anatomy Generation Using Mesh Latent Diffusion Models Open
Diffusion models have recently gained immense interest for their generative capabilities, specifically the high quality and diversity of the synthesized data. However, examples of their applications in 3D medical imaging are still scarce, …
View article: beta4dist: A Python package for the four-parameter Beta distribution and likelihood-based estimation
beta4dist: A Python package for the four-parameter Beta distribution and likelihood-based estimation Open
View article: 3D cardiac shape analysis with variational point cloud autoencoders for myocardial infarction prediction and virtual heart synthesis
3D cardiac shape analysis with variational point cloud autoencoders for myocardial infarction prediction and virtual heart synthesis Open
Cardiac anatomy and physiology vary considerably across the human population. Understanding and taking into account this variability is crucial for both accurate clinical decision-making and realistic in silico modeling of cardiac function…
View article: Assessment of nodal staging and risk factors for nodal involvement in gallbladder cancer
Assessment of nodal staging and risk factors for nodal involvement in gallbladder cancer Open
Background Nodal assessment in gallbladder cancer remains challenging, particularly in incidental gallbladder cancer. This understages the number of patients with node-positive disease, resulting in prognostic inaccuracy and insufficient a…
View article: SMART-ALERT study: continuous cardiac monitoring and real-time automated smartphone alerts for atrial fibrillation episodes
SMART-ALERT study: continuous cardiac monitoring and real-time automated smartphone alerts for atrial fibrillation episodes Open
Introduction 'Pill-in-the-pocket' oral anticoagulation (OAC) strategy is based on the concept that thromboembolic risk fluctuates—rising during and shortly after an atrial fibrillation (AF) episode and normalizing in sinus rhythm. Limiting…
View article: Deep conditional generative model for personalization of 12-lead electrocardiograms and cardiovascular risk prediction
Deep conditional generative model for personalization of 12-lead electrocardiograms and cardiovascular risk prediction Open
Background 12-lead electrocardiograms (ECGs) are a cornerstone for diagnosing and monitoring cardiovascular diseases (CVDs). They play a key role in detecting abnormalities such as arrhythmias and myocardial infarction, enabling early inte…
View article: Diagnostic performance of single-lead electrocardiograms from a smartwatch and a smartring for cardiac arrhythmia detection
Diagnostic performance of single-lead electrocardiograms from a smartwatch and a smartring for cardiac arrhythmia detection Open
Apple Watch missed approximately 1 in 3 episodes of AF and a high number of unclassified SL-ECG. CART Ring demonstrated superior performance. Physician interpretation significantly improved AF diagnosis but remained unreliable for other ar…
View article: Splitting and Merging for Active Contours: Plug-and-Play
Splitting and Merging for Active Contours: Plug-and-Play Open
This study tackles the challenge of splitting and merging in parametric active contours or snakes. The proposed method comprises three stages: (1) fully 4-connected interpolation, (2) snake splitting, and (3) snakes merging. For this purpo…
View article: Identifying extra pulmonary vein targets for persistent atrial fibrillation ablation: bridging advanced and conventional mapping techniques
Identifying extra pulmonary vein targets for persistent atrial fibrillation ablation: bridging advanced and conventional mapping techniques Open
Aims Advanced technologies such as charge density mapping (CDM) show promise in guiding adjuvant ablation in patients with persistent atrial fibrillation (AF); however, their limited availability restricts widespread adoption. We sought to…
View article: An Automated Computational Pipeline for Generating Large-Scale Cohorts of Patient-Specific Ventricular Models in Electromechanical In Silico Trials
An Automated Computational Pipeline for Generating Large-Scale Cohorts of Patient-Specific Ventricular Models in Electromechanical In Silico Trials Open
In recent years, human in silico trials have gained significant traction as a powerful approach to evaluate the effects of drugs, clinical interventions, and medical devices. In silico trials not only minimise patient risks but also reduce…
View article: Large Language Model-Informed ECG Dual Attention Network for Heart Failure Risk Prediction
Large Language Model-Informed ECG Dual Attention Network for Heart Failure Risk Prediction Open
Heart failure (HF) poses a significant public health challenge, with a rising global mortality rate. Early detection and prevention of HF could significantly reduce its impact. We introduce a novel methodology for predicting HF risk using …
View article: Editorial: Artificial intelligence applications for cancer diagnosis in radiology
Editorial: Artificial intelligence applications for cancer diagnosis in radiology Open
View article: Personalized topology-informed localization of standard 12-lead ECG electrode placement from incomplete cardiac MRIs for efficient cardiac digital twins
Personalized topology-informed localization of standard 12-lead ECG electrode placement from incomplete cardiac MRIs for efficient cardiac digital twins Open
Cardiac digital twins (CDTs) offer personalized in-silico cardiac representations for the inference of multi-scale properties tied to cardiac mechanisms. The creation of CDTs requires precise information about the electrode position on the…
View article: Evaluating Convolution, Attention, and Mamba Based U-Net Models for Multi-class Bi-Atrial Segmentation from LGE-MRI
Evaluating Convolution, Attention, and Mamba Based U-Net Models for Multi-class Bi-Atrial Segmentation from LGE-MRI Open
View article: Multi-modal integration of MRI and global chamber charge density mapping for the evaluation of atrial fibrillation
Multi-modal integration of MRI and global chamber charge density mapping for the evaluation of atrial fibrillation Open
Atrial fibrillation (AF) is the most prevalent clinical arrhythmia, posing significant mortality and morbidity challenges. Outcomes of current catheter ablation treatment strategies are suboptimal, highlighting the need for innovative appr…
View article: Multiplicative Chern insulator
Multiplicative Chern insulator Open
We study multiplicative Chern insulators (MCIs) as canonical examples of multiplicative topological phases of matter. Constructing the MCI Bloch Hamiltonian as a symmetry-protected tensor product of two topologically non-trivial parent Che…
View article: NeCA: 3D Coronary Artery Tree Reconstruction from Two 2D Projections via Neural Implicit Representation
NeCA: 3D Coronary Artery Tree Reconstruction from Two 2D Projections via Neural Implicit Representation Open
Cardiovascular diseases (CVDs) are the most common health threats worldwide. 2D X-ray invasive coronary angiography (ICA) remains the most widely adopted imaging modality for CVD assessment during real-time cardiac interventions. However, …
View article: Modeling the Mechanisms of Non-Neurogenic Dynamic Cerebral Autoregulation
Modeling the Mechanisms of Non-Neurogenic Dynamic Cerebral Autoregulation Open
This study contributes to the understanding of the complexities of dCA and how it is affected in different physiological conditions.
View article: NeCA: 3D Coronary Artery Tree Reconstruction from Two 2D Projections via Neural Implicit Representation
NeCA: 3D Coronary Artery Tree Reconstruction from Two 2D Projections via Neural Implicit Representation Open
Cardiovascular diseases (CVDs) are the most common health threats worldwide. 2D X-ray invasive coronary angiography (ICA) remains the most widely adopted imaging modality for CVD assessment during real-time cardiac interventions. However, …
View article: “Real‐world” performance of the Confirm Rx™ <scp>SharpSense AF</scp> detection algorithm: <scp>UK</scp> Confirm Rx study
“Real‐world” performance of the Confirm Rx™ <span>SharpSense AF</span> detection algorithm: <span>UK</span> Confirm Rx study Open
Introduction The novel Confirm Rx™ implantable cardiac monitor (ICM) with SharpSense™ technology incorporates a new P‐wave discriminator designed to improve AF detection. This study aimed to evaluate the diagnostic performance of the Confi…
View article: Personalized Topology-Informed Localization of Standard 12-Lead ECG Electrode Placement from Incomplete Cardiac MRIs for Efficient Cardiac Digital Twins
Personalized Topology-Informed Localization of Standard 12-Lead ECG Electrode Placement from Incomplete Cardiac MRIs for Efficient Cardiac Digital Twins Open
Cardiac digital twins (CDTs) offer personalized in-silico cardiac representations for the inference of multi-scale properties tied to cardiac mechanisms. The creation of CDTs requires precise information about the electrode position on the…
View article: Role of impedance drop and lesion size index (LSI) to guide catheter ablation for atrial fibrillation
Role of impedance drop and lesion size index (LSI) to guide catheter ablation for atrial fibrillation Open
Background When using lesion size index (LSI) to guide catheter ablation, it is unclear what combination of power, contact force and time would be preferable to use and what LSI target value to aim for. This study aimed at identifying desi…
View article: Deep multi-metric training: the need of multi-metric curve evaluation to avoid weak learning
Deep multi-metric training: the need of multi-metric curve evaluation to avoid weak learning Open
The development and application of artificial intelligence-based computer vision systems in medicine, environment, and industry are playing an increasingly prominent role. Hence, the need for optimal and efficient hyperparameter tuning str…
View article: Leveraging 3D Atrial Geometry for the Evaluation of Atrial Fibrillation: A Comprehensive Review
Leveraging 3D Atrial Geometry for the Evaluation of Atrial Fibrillation: A Comprehensive Review Open
Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia associated with significant morbidity and mortality. Managing risk of stroke and AF burden are pillars of AF management. Atrial geometry has long been recognized as a…
View article: DeepCA: Deep Learning-based 3D Coronary Artery Tree Reconstruction from Two 2D Non-simultaneous X-ray Angiography Projections
DeepCA: Deep Learning-based 3D Coronary Artery Tree Reconstruction from Two 2D Non-simultaneous X-ray Angiography Projections Open
Cardiovascular diseases (CVDs) are the most common cause of death worldwide. Invasive x-ray coronary angiography (ICA) is one of the most important imaging modalities for the diagnosis of CVDs. ICA typically acquires only two 2D projection…
View article: Patient-specific in silico 3D coronary model in cardiac catheterisation laboratories
Patient-specific in silico 3D coronary model in cardiac catheterisation laboratories Open
Coronary artery disease is caused by the buildup of atherosclerotic plaque in the coronary arteries, affecting the blood supply to the heart, one of the leading causes of death around the world. X-ray coronary angiography is the most commo…