Nishant Ravikumar

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 132

Top Venues

CoRR

Medical Image Anal.

Bildverarbeitung für die Medizin

MICCAI (4)

Publications

Kun Wu, Yan Xia, Nishant Ravikumar, Alejandro F. Frangi
Compressed sensing using a deep adaptive perceptual generative adversarial network for MRI reconstruction from undersampled K-space data. Biomed. Signal Process. Control. 96 (2024)
Jack Breen, Katie Allen, Kieran Zucker, Lucy Godson, Nicolas M. Orsi, Nishant Ravikumar
Histopathology Foundation Models Enable Accurate Ovarian Cancer Subtype Classification. CoRR (2024)
Fengming Lin, Yan Xia, Michael MacRaild, Yash Deo, Haoran Dou, Qiongyao Liu, Kun Wu, Nishant Ravikumar, Alejandro F. Frangi
Unsupervised Domain Adaptation for Brain Vessel Segmentation through Transwarp Contrastive Learning. CoRR (2024)
Jack Breen, Katie Allen, Kieran Zucker, Nicolas M. Orsi, Nishant Ravikumar
Multi-Resolution Histopathology Patch Graphs for Ovarian Cancer Subtyping. CoRR (2024)
Nurbanu Aksoy, Nishant Ravikumar, Serge Sharoff
Enhancing Image-to-Text Generation in Radiology Reports through Cross-modal Multi-Task Learning. LREC/COLING (2024)
Cynthia Maldonado García, Rodrigo Bonazzola, Enzo Ferrante, Thomas H. Julian, Panagiotis I Sergouniotis, Nishant Ravikumar, Alejandro F. Frangi
Predicting risk of cardiovascular disease using retinal OCT imaging. CoRR (2024)
Rodrigo Bonazzola, Enzo Ferrante, Nishant Ravikumar, Yan Xia, Bernard D. Keavney, Sven Plein, Tanveer F. Syeda-Mahmood, Alejandro F. Frangi
Unsupervised ensemble-based phenotyping enhances discoverability of genes related to left-ventricular morphology. Nat. Mac. Intell. 6 (3) (2024)
Mihaela Croitor Ibrahim, Nishant Ravikumar, Alistair Curd, Joanna Leng, Oliver Umney, Michelle Peckham
Segmenting Cardiac Muscle Z-disks with Deep Neural Networks. CoRR (2024)
Fengming Lin, Yan Xia, Michael MacRaild, Yash Deo, Haoran Dou, Qiongyao Liu, Nina Cheng, Nishant Ravikumar, Alejandro F. Frangi
GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation. CoRR (2024)
Yash Deo, Rodrigo Bonazzola, Haoran Dou, Yan Xia, Tianyou Wei, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila
Learned Local Attention Maps for Synthesising Vessel Segmentations. CoRR (2023)
Fergus Shone, Nishant Ravikumar, Toni Lassila, Michael MacRaild, Yongxing Wang, Zeike A. Taylor, Peter K. Jimack, Erica Dall' Armellina, Alejandro F. Frangi
Deep Physics-Informed Super-Resolution of Cardiac 4D-Flow MRI. IPMI (2023)
Nurbanu Aksoy, Nishant Ravikumar, Alejandro F. Frangi
Radiology Report Generation Using Transformers Conditioned with Non-imaging Data. CoRR (2023)
Rachael Harkness, Alejandro F. Frangi, Kieran Zucker, Nishant Ravikumar
Learning disentangled representations for explainable chest X-ray classification using Dirichlet VAEs. CoRR (2023)
Rebecca S. Stone, Nishant Ravikumar, Andrew J. Bulpitt, David C. Hogg
Implicit Visual Bias Mitigation by Posterior Estimate Sharpening of a Bayesian Neural Network. CoRR (2023)
Yan Xia, Nishant Ravikumar, Toni Lassila, Alejandro F. Frangi
Virtual high-resolution MR angiography from non-angiographic multi-contrast MRIs: synthetic vascular model populations for in-silico trials. Medical Image Anal. 87 (2023)
Rodrigo Bonazzola, Enzo Ferrante, Nishant Ravikumar, Yan Xia, Bernard Keavney, Sven Plein, Tanveer F. Syeda-Mahmood, Alejandro F. Frangi
Unsupervised ensemble-based phenotyping helps enhance the discoverability of genes related to heart morphology. CoRR (2023)
Nurbanu Aksoy, Serge Sharoff, Selcuk Baser, Nishant Ravikumar, Alejandro F. Frangi
Beyond Images: An Integrative Multi-modal Approach to Chest X-Ray Report Generation. CoRR (2023)
Fengming Lin, Yan Xia, Nishant Ravikumar, Qiongyao Liu, Michael MacRaild, Alejandro F. Frangi
Adaptive Semi-Supervised Segmentation of Brain Vessels with Ambiguous Labels. CoRR (2023)
Haoran Dou, Ning Bi, Luyi Han, Yuhao Huang, Ritse Mann, Xin Yang, Dong Ni, Nishant Ravikumar, Alejandro F. Frangi, Yunzhi Huang
GSMorph: Gradient Surgery for Cine-MRI Cardiac Deformable Registration. MICCAI (10) (2023)
Yash Deo, Rodrigo Bonazzola, Haoran Dou, Yan Xia, Tianyou Wei, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila
Learned Local Attention Maps for Synthesising Vessel Segmentations from T2 MRI. SASHIMI@MICCAI (2023)
Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas K. Maier, Jack Breen, Nishant Ravikumar, Youjin Chung, Jinah Park, Ramin Nateghi, Fattaneh Pourakpour, Rutger H. J. Fick, Saima Ben Hadj, Mostafa Jahanifar, Adam Shephard, Jakob Dexl, Thomas Wittenberg, Satoshi Kondo, Maxime W. Lafarge, Viktor H. Koelzer, Jingtang Liang, Yubo Wang, Xi Long, Jingxin Liu, Salar Razavi, April Khademi, Sen Yang, Xiyue Wang, Ramona Erber, Andrea Klang, Karoline Lipnik, Pompei Bolfa, Michael J. Dark, Gabriel Wasinger, Mitko Veta, Katharina Breininger
Mitosis domain generalization in histopathology images - The MIDOG challenge. Medical Image Anal. 84 (2023)
Jack Breen, Katie Allen, Kieran Zucker, Pratik Adusumilli, Andy Scarsbrook, Geoff Hall, Nicolas M. Orsi, Nishant Ravikumar
Artificial Intelligence in Ovarian Cancer Histopathology: A Systematic Review. CoRR (2023)
Fengming Lin, Yan Xia, Nishant Ravikumar, Qiongyao Liu, Michael MacRaild, Alejandro F. Frangi
Adaptive Semi-supervised Segmentation of Brain Vessels with Ambiguous Labels. DALI@MICCAI (2023)
Yash Deo, Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila
Shape-Guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature. DGM4MICCAI (2023)
Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi
A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy. MICCAI (7) (2023)
Haoran Dou, Ning Bi, Luyi Han, Yuhao Huang, Ritse Mann, Xin Yang, Dong Ni, Nishant Ravikumar, Alejandro F. Frangi, Yunzhi Huang
GSMorph: Gradient Surgery for cine-MRI Cardiac Deformable Registration. CoRR (2023)
Rachael Harkness, Alejandro F. Frangi, Kieran Zucker, Nishant Ravikumar
Learning disentangled representations for explainable chest x-ray classification using Dirichlet VAEs. Medical Imaging: Image Processing (2023)
Jack Breen, Kieran Zucker, Katie Allen, Nishant Ravikumar, Nicolas M. Orsi
Generative Adversarial Networks for Stain Normalisation in Histopathology. CoRR (2023)
Nicolás Gaggion, Benjamin A. Matheson, Yan Xia, Rodrigo Bonazzola, Nishant Ravikumar, Zeike A. Taylor, Diego H. Milone, Alejandro F. Frangi, Enzo Ferrante
Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI. CoRR (2023)
Mingyuan Luo, Xin Yang, Hongzhang Wang, Haoran Dou, Xindi Hu, Yuhao Huang, Nishant Ravikumar, Songcheng Xu, Yuanji Zhang, Yi Xiong, Wufeng Xue, Alejandro F. Frangi, Dong Ni, Litao Sun
RecON: Online learning for sensorless freehand 3D ultrasound reconstruction. Medical Image Anal. 87 (2023)
Jack Breen, Katie Allen, Kieran Zucker, Geoff Hall, Nicolas M. Orsi, Nishant Ravikumar
Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning. CoRR (2023)
Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi
A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy. CoRR (2023)
Jack Breen, Katie Allen, Kieran Zucker, Geoff Hall, Nishant Ravikumar, Nicolas M. Orsi
Predicting Ovarian Cancer Treatment Response in Histopathology using Hierarchical Vision Transformers and Multiple Instance Learning. CoRR (2023)
Yash Deo, Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila
Shape-guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature. CoRR (2023)
Fengming Lin, Yan Xia, Shuang Song, Nishant Ravikumar, Alejandro F. Frangi
High-throughput 3DRA segmentation of brain vasculature and aneurysms using deep learning. Comput. Methods Programs Biomed. 230 (2023)
Cynthia Maldonado García, Rodrigo Bonazzola, Nishant Ravikumar, Alejandro F. Frangi
Predicting Myocardial Infarction Using Retinal OCT Imaging. MIUA (2022)
Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li
Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. Medical Image Anal. 81 (2022)
Haoran Dou, Seppo Virtanen, Nishant Ravikumar, Alejandro F. Frangi
A Generative Shape Compositional Framework: Towards Representative Populations of Virtual Heart Chimaeras. CoRR (2022)
Mojtaba Lashgari, Nishant Ravikumar, Irvin Teh, Jing-Rebecca Li, David L. Buckley, Jürgen E. Schneider, Alejandro F. Frangi
Three-dimensional micro-structurally informed in silico myocardium - Towards virtual imaging trials in cardiac diffusion weighted MRI. Medical Image Anal. 82 (2022)
Rebecca S. Stone, Nishant Ravikumar, Andrew J. Bulpitt, David C. Hogg
Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation. CVPR Workshops (2022)
Andres Diaz-Pinto, Nishant Ravikumar, Rahman Attar, Avan Suinesiaputra, Yitian Zhao, Eylem Levelt, Erica Dall' Armellina, Marco Lorenzi, Qingyu Chen, Tiarnan D. L. Keenan, Elvira Agrón, Emily Y. Chew, Zhiyong Lu, Chris P. Gale, Richard P. Gale, Sven Plein, Alejandro F. Frangi
Predicting myocardial infarction through retinal scans and minimal personal information. Nat. Mach. Intell. 4 (1) (2022)
Haoran Dou, Luyi Han, Yushuang He, Jun Xu, Nishant Ravikumar, Ritse Mann, Alejandro F. Frangi, Pew-Thian Yap, Yunzhi Huang
Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework. MICCAI (4) (2022)
Xiang Chen, Yan Xia, Nishant Ravikumar, Alejandro F. Frangi
Joint segmentation and discontinuity-preserving deformable registration: Application to cardiac cine-MR images. CoRR (2022)
Haoran Dou, Luyi Han, Yushuang He, Jun Xu, Nishant Ravikumar, Ritse Mann, Alejandro F. Frangi, Pew-Thian Yap, Yunzhi Huang
Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework. CoRR (2022)
Nina Cheng, Rodrigo Bonazzola, Nishant Ravikumar, Alejandro F. Frangi
A Generative Framework for Predicting Myocardial Strain from Cine-Cardiac Magnetic Resonance Imaging. MIUA (2022)
Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie D. ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas K. Maier, Jack Breen, Nishant Ravikumar, Youjin Chung, Jinah Park, Ramin Nateghi, Fattaneh Pourakpour, Rutger H. J. Fick, Saima Ben Hadj, Mostafa Jahanifar, Nasir M. Rajpoot, Jakob Dexl, Thomas Wittenberg, Satoshi Kondo, Maxime W. Lafarge, Viktor H. Koelzer, Jingtang Liang, Yubo Wang, Xi Long, Jingxin Liu, Salar Razavi, April Khademi, Sen Yang, Xiyue Wang, Mitko Veta, Katharina Breininger
Mitosis domain generalization in histopathology images - The MIDOG challenge. CoRR (2022)
Arezoo Zakeri, Alireza Hokmabadi, Nishant Ravikumar, Alejandro F. Frangi, Ali Gooya
A probabilistic deep motion model for unsupervised cardiac shape anomaly assessment. Medical Image Anal. 75 (2022)
Mojtaba Lashgari, Nishant Ravikumar, Irvin Teh, Jing-Rebecca Li, David L. Buckley, Jürgen E. Schneider, Alejandro F. Frangi
Three-dimensional micro-structurally informed in silico myocardium - towards virtual imaging trials in cardiac diffusion weighted MRI. CoRR (2022)
Yuxin Zou, Haoran Dou, Yuhao Huang, Xin Yang, Jikuan Qian, Chaojiong Zhen, Xiaodan Ji, Nishant Ravikumar, Guoqiang Chen, Weijun Huang, Alejandro F. Frangi, Dong Ni
Agent with Tangent-Based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound. MICCAI (4) (2022)
Rebecca S. Stone, Nishant Ravikumar, Andrew J. Bulpitt, David C. Hogg
Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation. CoRR (2022)
Yuxin Zou, Haoran Dou, Yuhao Huang, Xin Yang, Jikuan Qian, Chaojiong Zhen, Xiaodan Ji, Nishant Ravikumar, Guoqiang Chen, Weijun Huang, Alejandro F. Frangi, Dong Ni
Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound. CoRR (2022)
Yan Xia, Nishant Ravikumar, Alejandro F. Frangi
Learning to complete incomplete hearts for population analysis of cardiac MR images. Medical Image Anal. 77 (2022)
Yan Xia, Xiang Chen, Nishant Ravikumar, Christopher Kelly, Rahman Attar, Nay Aung, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
Automatic 3D+t four-chamber CMR quantification of the UK biobank: integrating imaging and non-imaging data priors at scale. Medical Image Anal. 80 (2022)
Jack Breen, Kieran Zucker, Nicolas Orsi, Geoff Hall, Nishant Ravikumar
Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images. CoRR (2021)
Yuhao Huang, Xin Yang, Yuxin Zou, Chaoyu Chen, Jian Wang, Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi, Jianqiao Zhou, Dong Ni
Flip Learning: Erase to Segment. MICCAI (1) (2021)
Xiang Chen, Yan Xia, Nishant Ravikumar, Alejandro F. Frangi
A Deep Discontinuity-Preserving Image Registration Network. MICCAI (4) (2021)
Shuangchi He, Zehui Lin, Xin Yang, Chaoyu Chen, Jian Wang, Xue Shuang, Ziwei Deng, Qin Liu, Yan Cao, Xiduo Lu, Ruobing Huang, Nishant Ravikumar, Alejandro Frangi, Yuanji Zhang, Yi Xiong, Dong Ni
Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound. MLMI@MICCAI (2021)
Rachael Harkness, Geoff Hall, Alejandro F. Frangi, Nishant Ravikumar, Kieran Zucker
The Pitfalls of Using Open Data to Develop Deep Learning Solutions for COVID-19 Detection in Chest X-Rays. MedInfo (2021)
Rodrigo Bonazzola, Nishant Ravikumar, Rahman Attar, Enzo Ferrante, Tanveer F. Syeda-Mahmood, Alejandro F. Frangi
Image-Derived Phenotype Extraction for Genetic Discovery via Unsupervised Deep Learning in CMR Images. MICCAI (5) (2021)
Yan Xia, Le Zhang, Nishant Ravikumar, Rahman Attar, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
Recovering from missing data in population imaging - Cardiac MR image imputation via conditional generative adversarial nets. Medical Image Anal. 67 (2021)
Sulaiman Vesal, Mingxuan Gu, Ronak Kosti, Andreas Maier, Nishant Ravikumar
Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimization for Multi-Modal Cardiac Image Segmentation. IEEE Trans. Medical Imaging 40 (7) (2021)
Rachael Harkness, Geoff Hall, Alejandro F. Frangi, Nishant Ravikumar, Kieran Zucker
The pitfalls of using open data to develop deep learning solutions for COVID-19 detection in chest X-rays. CoRR (2021)
Xiang Chen, Yan Xia, Nishant Ravikumar, Alejandro F. Frangi
CAR-Net: Unsupervised Co-Attention Guided Registration Network for Joint Registration and Structure Learning. CoRR (2021)
Yan Xia, Nishant Ravikumar, John P. Greenwood, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
Super-Resolution of Cardiac MR Cine Imaging using Conditional GANs and Unsupervised Transfer Learning. Medical Image Anal. 71 (2021)
Sulaiman Vesal, Mingxuan Gu, Andreas Maier, Nishant Ravikumar
Spatio-Temporal Multi-Task Learning for Cardiac MRI Left Ventricle Quantification. IEEE J. Biomed. Health Informatics 25 (7) (2021)
Xiang Chen, Nishant Ravikumar, Yan Xia, Rahman Attar, Andres Diaz-Pinto, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds. Medical Image Anal. 74 (2021)
Shuangchi He, Zehui Lin, Xin Yang, Chaoyu Chen, Jian Wang, Xue Shuang, Ziwei Deng, Qin Liu, Yan Cao, Xiduo Lu, Ruobing Huang, Nishant Ravikumar, Alejandro Frangi, Yuanji Zhang, Yi Xiong, Dong Ni
Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound. CoRR (2021)
Yuhao Huang, Xin Yang, Yuxin Zou, Chaoyu Chen, Jian Wang, Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi, Jianqiao Zhou, Dong Ni
Flip Learning: Erase to Segment. CoRR (2021)
Jack Breen, Kieran Zucker, Nicolas M. Orsi, Nishant Ravikumar
Assessing Domain Adaptation Techniques for Mitosis Detection in Multi-scanner Breast Cancer Histopathology Images. MIDOG/MOOD/Learn2Reg@MICCAI (2021)
Mingyuan Luo, Xin Yang, Xiaoqiong Huang, Yuhao Huang, Yuxin Zou, Xindi Hu, Nishant Ravikumar, Alejandro F. Frangi, Dong Ni
Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction. MICCAI (6) (2021)
Zhendong Liu, Manh The Van, Xin Yang, Xiaoqiong Huang, Karim Lekadir, Víctor M. Campello, Nishant Ravikumar, Alejandro F. Frangi, Dong Ni
Style Curriculum Learning for Robust Medical Image Segmentation. MICCAI (1) (2021)
Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier, Xin Yang, Pheng-Ann Heng, Dong Ni, Caizi Li, Qianqian Tong, Weixin Si, Élodie Puybareau, Younes Khoudli, Thierry Géraud, Jichao Zhao
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging. Medical Image Anal. 67 (2021)
Zhendong Liu, Manh The Van, Xin Yang, Xiaoqiong Huang, Karim Lekadir, Víctor M. Campello, Nishant Ravikumar, Alejandro F. Frangi, Dong Ni
Style Curriculum Learning for Robust Medical Image Segmentation. CoRR (2021)
Xiang Chen, Nishant Ravikumar, Yan Xia, Alejandro F. Frangi
A Deep Discontinuity-Preserving Image Registration Network. CoRR (2021)
Sulaiman Vesal, Mingxuan Gu, Ronak Kosti, Andreas Maier, Nishant Ravikumar
Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image Segmentation. CoRR (2021)
Mingyuan Luo, Xin Yang, Xiaoqiong Huang, Yuhao Huang, Yuxin Zou, Xindi Hu, Nishant Ravikumar, Alejandro F. Frangi, Dong Ni
Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction. CoRR (2021)
Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li
Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge. CoRR (2020)
Faezeh Nejati Hatamian, Nishant Ravikumar, Sulaiman Vesal, Felix P. Kemeth, Matthias Struck, Andreas K. Maier
The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks. ICASSP (2020)
Siming Bayer, Xia Zhong, Weilin Fu, Nishant Ravikumar, Andreas K. Maier
Imitation Learning Network for Fundus Image Registration Using a Divide-And-Conquer Approach. Bildverarbeitung für die Medizin (2020)
Dalia Rodríguez-Salas, Nina Mürschberger, Nishant Ravikumar, Mathias Seuret, Andreas Maier
Mapping Ensembles of Trees to Sparse, Interpretable Multilayer Perceptron Networks. SN Comput. Sci. 1 (5) (2020)
Jalil Ahmed, Sulaiman Vesal, Felix Durlak, Rainer Kärgel, Nishant Ravikumar, Martine Rémy-Jardin, Andreas K. Maier
COPD Classification in CT Images Using a 3D Convolutional Neural Network. CoRR (2020)
Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier, Xin Yang, Pheng-Ann Heng, Dong Ni, Caizi Li, Qianqian Tong, Weixin Si, Élodie Puybareau, Younes Khoudli, Thierry Géraud, Chen Chen, Wenjia Bai, Daniel Rueckert, Lingchao Xu, Xiahai Zhuang, Xinzhe Luo, Shuman Jia, Maxime Sermesant, Yashu Liu, Kuanquan Wang, Davide Borra, Alessandro Masci, Cristiana Corsi, Coen de Vente, Mitko Veta, Rashed Karim, Chandrakanth Jayachandran Preetha, Sandy Engelhardt, Mengyun Qiao, Yuanyuan Wang, Qian Tao, Marta Nuñez Garcia, Oscar Camara, Nicoló Savioli, Pablo Lamata, Jichao Zhao
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging. CoRR (2020)
Daiqing Li, Amlan Kar, Nishant Ravikumar, Alejandro F. Frangi, Sanja Fidler
Federated Simulation for Medical Imaging. MICCAI (1) (2020)
Jalil Ahmed, Sulaiman Vesal, Felix Durlak, Rainer Kärgel, Nishant Ravikumar, Martine Rémy-Jardin, Andreas K. Maier
COPD Classification in CT Images Using a 3D Convolutional Neural Network. Bildverarbeitung für die Medizin (2020)
Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Andreas K. Maier
Abstract: Divide-And-Conquer Approach Towards Understanding Deep Networks. Bildverarbeitung für die Medizin (2020)
Faezeh Nejati Hatamian, Nishant Ravikumar, Sulaiman Vesal, Felix P. Kemeth, Matthias Struck, Andreas Maier
The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks. CoRR (2020)
Sulaiman Vesal, Andreas Maier, Nishant Ravikumar
Fully Automated 3D Cardiac MRI Localisation and Segmentation Using Deep Neural Networks. J. Imaging 6 (7) (2020)
Daiqing Li, Amlan Kar, Nishant Ravikumar, Alejandro F. Frangi, Sanja Fidler
Fed-Sim: Federated Simulation for Medical Imaging. CoRR (2020)
Sulaiman Vesal, Mingxuan Gu, Andreas Maier, Nishant Ravikumar
Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification. CoRR (2020)
Francisco Javier Ibarrola, Nishant Ravikumar, Alejandro F. Frangi
Partially Conditioned Generative Adversarial Networks. CoRR (2020)
Yiling Xu, Frank Schebesch, Nishant Ravikumar, Andreas K. Maier
Detection of Unseen Low-Contrast Signals Using Classic and Novel Model Observers. Bildverarbeitung für die Medizin (2019)
Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier
A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT. CoRR (2019)
Nicole Kaiser, Andreas Fieselmann, Sulaiman Vesal, Nishant Ravikumar, Ludwig Ritschl, Steffen Kappler, Andreas K. Maier
Mammographic breast density classification using a deep neural network: assessment on the basis of inter-observer variability. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2019)
Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Andreas K. Maier
A Divide-and-Conquer Approach towards Understanding Deep Networks. CoRR (2019)
Dalia Rodríguez-Salas, Nishant Ravikumar, Mathias Seuret, Andreas Maier
ForestNet - Automatic Design of Sparse Multilayer Perceptron Network Architectures Using Ensembles of Randomized Trees. ACPR (1) (2019)
Alexander Preuhs, Nishant Ravikumar, Michael Manhart, Bernhard Stimpel, Elisabeth Hoppe, Christopher Syben, Markus Kowarschik, Andreas K. Maier
Maximum Likelihood Estimation of Head Motion Using Epipolar Consistency. Bildverarbeitung für die Medizin (2019)
Siming Bayer, Xia Zhong, Weilin Fu, Nishant Ravikumar, Andreas Maier
Analyzing an Imitation Learning Network for Fundus Image Registration Using a Divide-and-Conquer Approach. CoRR (2019)
Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier
Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation. CoRR (2019)
Felix Denzinger, Michael Wels, Nishant Ravikumar, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas Maier
Coronary Artery Plaque Characterization from CCTA Scans using Deep Learning and Radiomics. CoRR (2019)
Sulaiman Vesal, Nishant Ravikumar, Andreas Maier
Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation. STACOM@MICCAI (2019)

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Nishant Ravikumar