Nishant Ravikumar
Orcid: 0000-0003-0134-107X
According to our database1,
Nishant Ravikumar
authored at least 98 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation.
CoRR, 2024
Unsupervised Domain Adaptation for Brain Vessel Segmentation through Transwarp Contrastive Learning.
CoRR, 2024
2023
High-throughput 3DRA segmentation of brain vasculature and aneurysms using deep learning.
Comput. Methods Programs Biomed., March, 2023
Medical Image Anal., 2023
Medical Image Anal., 2023
Virtual high-resolution MR angiography from non-angiographic multi-contrast MRIs: synthetic vascular model populations for in-silico trials.
Medical Image Anal., 2023
Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Predicting Ovarian Cancer Treatment Response in Histopathology using Hierarchical Vision Transformers and Multiple Instance Learning.
CoRR, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning.
CoRR, 2023
Unsupervised ensemble-based phenotyping helps enhance the discoverability of genes related to heart morphology.
CoRR, 2023
Learning disentangled representations for explainable chest x-ray classification using Dirichlet VAEs.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023
Proceedings of the Simulation and Synthesis in Medical Imaging, 2023
Proceedings of the Information Processing in Medical Imaging, 2023
2022
Predicting myocardial infarction through retinal scans and minimal personal information.
Nat. Mach. Intell., 2022
Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge.
Medical Image Anal., 2022
Medical Image Anal., 2022
Medical Image Anal., 2022
Automatic 3D+t four-chamber CMR quantification of the UK biobank: integrating imaging and non-imaging data priors at scale.
Medical Image Anal., 2022
Three-dimensional micro-structurally informed in silico myocardium - Towards virtual imaging trials in cardiac diffusion weighted MRI.
Medical Image Anal., 2022
Joint segmentation and discontinuity-preserving deformable registration: Application to cardiac cine-MR images.
CoRR, 2022
A Generative Shape Compositional Framework: Towards Representative Populations of Virtual Heart Chimaeras.
CoRR, 2022
CoRR, 2022
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.
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.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
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.
IEEE Trans. Medical Imaging, 2021
IEEE J. Biomed. Health Informatics, 2021
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging.
Medical Image Anal., 2021
Recovering from missing data in population imaging - Cardiac MR image imputation via conditional generative adversarial nets.
Medical Image Anal., 2021
Super-Resolution of Cardiac MR Cine Imaging using Conditional GANs and Unsupervised Transfer Learning.
Medical Image Anal., 2021
Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds.
Medical Image Anal., 2021
Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images.
CoRR, 2021
CAR-Net: Unsupervised Co-Attention Guided Registration Network for Joint Registration and Structure Learning.
CoRR, 2021
Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image Segmentation.
CoRR, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
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.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
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.
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.
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.
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021
2020
SN Comput. Sci., 2020
Fully Automated 3D Cardiac MRI Localisation and Segmentation Using Deep Neural Networks.
J. Imaging, 2020
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging.
CoRR, 2020
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.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020
Imitation Learning Network for Fundus Image Registration Using a Divide-And-Conquer Approach.
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020
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.
Medical Image Anal., 2019
Analyzing an Imitation Learning Network for Fundus Image Registration Using a Divide-and-Conquer Approach.
CoRR, 2019
Int. J. Comput. Assist. Radiol. Surg., 2019
Mammographic breast density classification using a deep neural network: assessment on the basis of inter-observer variability.
Proceedings of the Medical Imaging 2019: Image Perception, 2019
Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the 2019 Challenge on Segmentation of THoracic Organs at Risk in CT Images, 2019
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019
Semi-Automatic Cell Correspondence Analysis Using Iterative Point Cloud Registration.
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.
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.
Medical Image Anal., 2018
Range Imaging for Motion Compensation in C-Arm Cone-Beam CT of Knees under Weight-Bearing Conditions.
J. Imaging, 2018
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.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018
Proceedings of the OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, - and - Skin Image Analysis, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018
Preliminary Study Investigating Brain Shift Compensation using 3D CBCT Cerebral Vascular Images.
Proceedings of the Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme, 2018
2017
Semi-Automatic Algorithm for Breast MRI Lesion Segmentation Using Marker-Controlled Watershed Transformation.
CoRR, 2017
Generalised Coherent Point Drift for Group-Wise Registration of Multi-dimensional Point Sets.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2016
Proceedings of the Medical Imaging 2016: Image Processing, 2016
A Multi-resolution T-Mixture Model Approach to Robust Group-Wise Alignment of Shapes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Reconstruction of Coronary Artery Centrelines from X-Ray Angiography Using a Mixture of Student's t-Distributions.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
3D active shape models of human brain structures: application to patient-specific mesh generation.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015