Nishant Ravikumar

Serge Sharoff

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

High-throughput 3DRA segmentation of brain vasculature and aneurysms using deep learning.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., March, 2023

RecON: Online learning for sensorless freehand 3D ultrasound reconstruction.

[BibT_eX]

[DOI]

Medical Image Anal., 2023

Mitosis domain generalization in histopathology images - The MIDOG challenge.

[BibT_eX]

[DOI]

Medical Image Anal., 2023

Virtual high-resolution MR angiography from non-angiographic multi-contrast MRIs: synthetic vascular model populations for in-silico trials.

[BibT_eX]

[DOI]

Medical Image Anal., 2023

Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI.

[BibT_eX]

[DOI]

CoRR, 2023

Radiology Report Generation Using Transformers Conditioned with Non-imaging Data.

[BibT_eX]

[DOI]

Nurbanu Aksoy

CoRR, 2023

Beyond Images: An Integrative Multi-modal Approach to Chest X-Ray Report Generation.

[BibT_eX]

[DOI]

CoRR, 2023

Predicting Ovarian Cancer Treatment Response in Histopathology using Hierarchical Vision Transformers and Multiple Instance Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Learned Local Attention Maps for Synthesising Vessel Segmentations.

[BibT_eX]

[DOI]

CoRR, 2023

Generative Adversarial Networks for Stain Normalisation in Histopathology.

[BibT_eX]

[DOI]

CoRR, 2023

Artificial Intelligence in Ovarian Cancer Histopathology: A Systematic Review.

[BibT_eX]

[DOI]

CoRR, 2023

Unsupervised ensemble-based phenotyping helps enhance the discoverability of genes related to heart morphology.

[BibT_eX]

[DOI]

Tanveer F. Syeda-Mahmood

CoRR, 2023

Learning disentangled representations for explainable chest x-ray classification using Dirichlet VAEs.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023

Adaptive Semi-supervised Segmentation of Brain Vessels with Ambiguous Labels.

[BibT_eX]

[DOI]

Proceedings of the Data Augmentation, Labelling, and Imperfections - Third MICCAI Workshop, 2023

A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy.

[BibT_eX]

[DOI]

Haoran Dou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

GSMorph: Gradient Surgery for Cine-MRI Cardiac Deformable Registration.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Shape-Guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature.

[BibT_eX]

[DOI]

Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

Learned Local Attention Maps for Synthesising Vessel Segmentations from T2 MRI.

[BibT_eX]

[DOI]

Proceedings of the Simulation and Synthesis in Medical Imaging, 2023

Deep Physics-Informed Super-Resolution of Cardiac 4D-Flow MRI.

[BibT_eX]

[DOI]

Erica Dall' Armellina

Proceedings of the Information Processing in Medical Imaging, 2023

2022

Predicting myocardial infarction through retinal scans and minimal personal information.

[BibT_eX]

[DOI]

Erica Dall' Armellina

Nat. Mach. Intell., 2022

Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge.

[BibT_eX]

[DOI]

Medical Image Anal., 2022

A probabilistic deep motion model for unsupervised cardiac shape anomaly assessment.

[BibT_eX]

[DOI]

Medical Image Anal., 2022

Learning to complete incomplete hearts for population analysis of cardiac MR images.

[BibT_eX]

[DOI]

Yan Xia

Medical Image Anal., 2022

Automatic 3D+t four-chamber CMR quantification of the UK biobank: integrating imaging and non-imaging data priors at scale.

[BibT_eX]

[DOI]

Medical Image Anal., 2022

Three-dimensional micro-structurally informed in silico myocardium - Towards virtual imaging trials in cardiac diffusion weighted MRI.

[BibT_eX]

[DOI]

Medical Image Anal., 2022

Joint segmentation and discontinuity-preserving deformable registration: Application to cardiac cine-MR images.

[BibT_eX]

[DOI]

CoRR, 2022

A Generative Shape Compositional Framework: Towards Representative Populations of Virtual Heart Chimaeras.

[BibT_eX]

[DOI]

CoRR, 2022

Mitosis domain generalization in histopathology images - The MIDOG challenge.

[BibT_eX]

[DOI]

CoRR, 2022

Predicting Myocardial Infarction Using Retinal OCT Imaging.

[BibT_eX]

[DOI]

Cynthia Maldonado García

Rodrigo Bonazzola

Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

A Generative Framework for Predicting Myocardial Strain from Cine-Cardiac Magnetic Resonance Imaging.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

Agent with Tangent-Based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimization for Multi-Modal Cardiac Image Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

Spatio-Temporal Multi-Task Learning for Cardiac MRI Left Ventricle Quantification.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2021

A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Recovering from missing data in population imaging - Cardiac MR image imputation via conditional generative adversarial nets.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Super-Resolution of Cardiac MR Cine Imaging using Conditional GANs and Unsupervised Transfer Learning.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images.

[BibT_eX]

[DOI]

CoRR, 2021

CAR-Net: Unsupervised Co-Attention Guided Registration Network for Joint Registration and Structure Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2021

Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Style Curriculum Learning for Robust Medical Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Flip Learning: Erase to Segment.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

A Deep Discontinuity-Preserving Image Registration Network.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Assessing Domain Adaptation Techniques for Mitosis Detection in Multi-scanner Breast Cancer Histopathology Images.

[BibT_eX]

[DOI]

Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021

Image-Derived Phenotype Extraction for Genetic Discovery via Unsupervised Deep Learning in CMR Images.

[BibT_eX]

[DOI]

Tanveer F. Syeda-Mahmood

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

The Pitfalls of Using Open Data to Develop Deep Learning Solutions for COVID-19 Detection in Chest X-Rays.

[BibT_eX]

[DOI]

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

2020

Mapping Ensembles of Trees to Sparse, Interpretable Multilayer Perceptron Networks.

[BibT_eX]

[DOI]

Dalia Rodríguez-Salas

SN Comput. Sci., 2020

Fully Automated 3D Cardiac MRI Localisation and Segmentation Using Deep Neural Networks.

[BibT_eX]

[DOI]

Francisco Javier Ibarrola

J. Imaging, 2020

Fed-Sim: Federated Simulation for Medical Imaging.

[BibT_eX]

[DOI]

CoRR, 2020

Partially Conditioned Generative Adversarial Networks.

[BibT_eX]

[DOI]

CoRR, 2020

A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging.

[BibT_eX]

[DOI]

CoRR, 2020

Federated Simulation for Medical Imaging.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks.

[BibT_eX]

[DOI]

Faezeh Nejati Hatamian

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Abstract: Divide-And-Conquer Approach Towards Understanding Deep Networks.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

Imitation Learning Network for Fundus Image Registration Using a Divide-And-Conquer Approach.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

COPD Classification in CT Images Using a 3D Convolutional Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

2019

Generalised coherent point drift for group-wise multi-dimensional analysis of diffusion brain MRI data.

[BibT_eX]

[DOI]

Medical Image Anal., 2019

Analyzing an Imitation Learning Network for Fundus Image Registration Using a Divide-and-Conquer Approach.

[BibT_eX]

[DOI]

CoRR, 2019

Registration of vascular structures using a hybrid mixture model.

[BibT_eX]

[DOI]

Int. J. Comput. Assist. Radiol. Surg., 2019

Mammographic breast density classification using a deep neural network: assessment on the basis of inter-observer variability.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2019: Image Perception, 2019

Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

A Divide-and-Conquer Approach Towards Understanding Deep Networks.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Coronary Artery Plaque Characterization from CCTA Scans Using Deep Learning and Radiomics.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT.

[BibT_eX]

[DOI]

Andreas K. Maier

Proceedings of the 2019 Challenge on Segmentation of THoracic Organs at Risk in CT Images, 2019

Pediatric Patient Surface Model Atlas Generation and X-Ray Skin Dose Estimation.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

Detection of Unseen Low-Contrast Signals Using Classic and Novel Model Observers.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

Maximum Likelihood Estimation of Head Motion Using Epipolar Consistency.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

Dilated Deeply Supervised Networks for Hippocampus Segmentation in MRI.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

Semi-Automatic Cell Correspondence Analysis Using Iterative Point Cloud Registration.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

ForestNet - Automatic Design of Sparse Multilayer Perceptron Network Architectures Using Ensembles of Randomized Trees.

[BibT_eX]

[DOI]

Dalia Rodríguez-Salas

Mathias Seuret

Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

2018

Group-wise similarity registration of point sets using Student's t-mixture model for statistical shape models.

[BibT_eX]

[DOI]

Medical Image Anal., 2018

Range Imaging for Motion Compensation in C-Arm Cone-Beam CT of Knees under Weight-Bearing Conditions.

[BibT_eX]

[DOI]

J. Imaging, 2018

SkinNet: A Deep Learning Framework for Skin Lesion Segmentation.

[BibT_eX]

[DOI]

Andreas K. Maier

CoRR, 2018

Action Learning for 3D Point Cloud Based Organ Segmentation.

[BibT_eX]

[DOI]

CoRR, 2018

Resolve Intraoperative Brain Shift as Imitation Game.

[BibT_eX]

[DOI]

Proceedings of the Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation, 2018

Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium Enhanced-MRI.

[BibT_eX]

[DOI]

Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018

A Multi-task Framework for Skin Lesion Detection and Segmentation.

[BibT_eX]

[DOI]

Shreyas Malakarjun Patil