Nishant Ravikumar

149 papers A 1B 2Misc 1Journal 90Unranked 55

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multi-attention-aware motion estimation for cardiac MR imaging based on a feature pyramid network. Biomed. Signal Process. Control. Kun Wu, Xiang Chen, Nina Cheng, Nishant Ravikumar, Alejandro F. Frangi
2026	J	`jnl`	OM4AnI: A Novel Overlap Measure for Anomaly Identification in Multi-Class Scatterplots. IEEE Trans. Vis. Comput. Graph. Liqun Liu, Leonid V. Bogachev, Mahdi Rezaei, Nishant Ravikumar, Arjun Khara, Mohsen Azarmi, Roy A. Ruddle
2025	J	`jnl`	A Generative Shape Compositional Framework to Synthesize Populations of Virtual Chimeras. IEEE Trans. Neural Networks Learn. Syst. Haoran Dou, Seppo Virtanen, Nishant Ravikumar, Alejandro F. Frangi
2025	J	`jnl`	Can Diffusion Models Bridge the Domain Gap in Cardiac MR Imaging? CoRR Xin Ci Wong, Duygu Sarikaya, Kieran Zucker, Marc de Kamps, Nishant Ravikumar
2025	J	`jnl`	Development and External Validation of [18F]FDG PET-CT-Derived Radiomic Models for Prediction of Abdominal Aortic Aneurysm Growth Rate. Algorithms Simran Singh Dhesi, Pratik Adusumilli, Nishant Ravikumar, Mohammed A. Waduud, Russell Frood, Alejandro F. Frangi, Garry McDermott, James H. F. Rudd, Yuan Huang, Jonathan R. Boyle, Maysoon Elkhawad, David E. Newby, Nikhil Joshi, Jing Yi Kwan, Patrick Coughlin, Marc A. Bailey, Andrew F. Scarsbrook
2025	J	`jnl`	Multi-view hybrid graph convolutional network for volume-to-mesh reconstruction in cardiovascular MRI. Medical Image Anal. Nicolás Gaggion, Benjamin A. Matheson, Yan Xia, Rodrigo Bonazzola, Nishant Ravikumar, Zeike A. Taylor, Diego H. Milone, Alejandro F. Frangi, Enzo Ferrante
2025	J	`jnl`	Predicting cardiovascular disease risk using retinal optical coherence tomography imaging. Frontiers Artif. Intell. Cynthia Maldonado García, Rodrigo Bonazzola, Enzo Ferrante, Thomas H. Julian, Panagiotis I. Sergouniotis, Nishant Ravikumar, Alejandro F. Frangi
2025	J	`jnl`	Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance. CoRR Oliver Mills, Philip G. Conaghan, Nishant Ravikumar, Samuel D. Relton
2024	J	`jnl`	Compressed sensing using a deep adaptive perceptual generative adversarial network for MRI reconstruction from undersampled K-space data. Biomed. Signal Process. Control. Kun Wu, Yan Xia, Nishant Ravikumar, Alejandro F. Frangi
2024	—	`conf`	Enhancing Image-to-Text Generation in Radiology Reports through Cross-modal Multi-Task Learning. LREC/COLING Nurbanu Aksoy, Nishant Ravikumar, Serge Sharoff
2024	—	`conf`	Few-Shot Learning in Diffusion Models for Generating Cerebral Aneurysm Geometries. ISBI Yash Deo, Fengming Lin, Haoran Dou, Nina Cheng, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila
2024	—	`conf`	GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation. ISBI Fengming Lin, Yan Xia, Michael MacRaild, Yash Deo, Haoran Dou, Qiongyao Liu, Nina Cheng, Nishant Ravikumar, Alejandro F. Frangi
2024	J	`jnl`	GS-EMA: Integrating Gradient Surgery Exponential Moving Average with Boundary-Aware Contrastive Learning for Enhanced Domain Generalization in Aneurysm Segmentation. CoRR Fengming Lin, Yan Xia, Michael MacRaild, Yash Deo, Haoran Dou, Qiongyao Liu, Nina Cheng, Nishant Ravikumar, Alejandro F. Frangi
2024	J	`jnl`	Histopathology Foundation Models Enable Accurate Ovarian Cancer Subtype Classification. CoRR Jack Breen, Katie Allen, Kieran Zucker, Lucy Godson, Nicolas M. Orsi, Nishant Ravikumar
2024	—	`conf`	Integrating Deep Learning with Fundus and Optical Coherence Tomography for Cardiovascular Disease Prediction. PRIME@MICCAI Cynthia Maldonado García, Arezoo Zakeri, Alejandro F. Frangi, Nishant Ravikumar
2024	J	`jnl`	Integrating Deep Learning with Fundus and Optical Coherence Tomography for Cardiovascular Disease Prediction. CoRR Cynthia Maldonado García, Arezoo Zakeri, Alejandro F. Frangi, Nishant Ravikumar
2024	J	`jnl`	Multi-Resolution Histopathology Patch Graphs for Ovarian Cancer Subtyping. CoRR Jack Breen, Katie Allen, Kieran Zucker, Nicolas M. Orsi, Nishant Ravikumar
2024	—	`conf`	Multi-resolution Histopathology Patch Graphs for Ovarian Cancer Subtyping. GRAIL@MICCAI Jack Breen, Katie Allen, Kieran Zucker, Nicolas M. Orsi, Nishant Ravikumar
2024	J	`jnl`	Predicting risk of cardiovascular disease using retinal OCT imaging. CoRR Cynthia Maldonado García, Rodrigo Bonazzola, Enzo Ferrante, Thomas H. Julian, Panagiotis I. Sergouniotis, Nishant Ravikumar, Alejandro F. Frangi
2024	A	`conf`	Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance. BMVC Oliver Mills, Nishant Ravikumar, Philip G. Conaghan, Samuel D. Relton
2024	—	`conf`	Reducing Histopathology Slide Magnification Improves the Accuracy and Speed of Ovarian Cancer Subtyping. ISBI Jack Breen, Nishant Ravikumar, Katie Allen, Kieran Zucker, Nicolas M. Orsi
2024	J	`jnl`	Segmenting Cardiac Muscle Z-disks with Deep Neural Networks. CoRR Mihaela Croitor Ibrahim, Nishant Ravikumar, Alistair Curd, Joanna M. Leng, Oliver Umney, Michelle Peckham
2024	—	`conf`	Synthesising 3D Cardiac CINE-MR Images and Corresponding Segmentation Masks using a Latent Diffusion Model. ISBI Nina Cheng, Zhengji Liu, Yash Deo, Haoran Dou, Ning Bi, Kun Wu, Fengming Lin, Zeike A. Taylor, Nishant Ravikumar, Alejandro F. Frangi
2024	—	`conf`	Unsupervised Domain Adaptation for Brain Vessel Segmentation Through Transwarp Contrastive Learning. ISBI Fengming Lin, Yan Xia, Yash Deo, Michael MacRaild, Haoran Dou, Qiongyao Liu, Kun Wu, Nishant Ravikumar, Alejandro F. Frangi
2024	J	`jnl`	Unsupervised Domain Adaptation for Brain Vessel Segmentation through Transwarp Contrastive Learning. CoRR Fengming Lin, Yan Xia, Michael MacRaild, Yash Deo, Haoran Dou, Qiongyao Liu, Kun Wu, Nishant Ravikumar, Alejandro F. Frangi
2024	J	`jnl`	Unsupervised ensemble-based phenotyping enhances discoverability of genes related to left-ventricular morphology. Nat. Mac. Intell. Rodrigo Bonazzola, Enzo Ferrante, Nishant Ravikumar, Yan Xia, Bernard D. Keavney, Sven Plein, Tanveer F. Syeda-Mahmood, Alejandro F. Frangi
2023	—	`conf`	A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy. MICCAI (7) Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi
2023	J	`jnl`	A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy. CoRR Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi
2023	J	`jnl`	Adaptive Semi-Supervised Segmentation of Brain Vessels with Ambiguous Labels. CoRR Fengming Lin, Yan Xia, Nishant Ravikumar, Qiongyao Liu, Michael MacRaild, Alejandro F. Frangi
2023	—	`conf`	Adaptive Semi-supervised Segmentation of Brain Vessels with Ambiguous Labels. DALI@MICCAI Fengming Lin, Yan Xia, Nishant Ravikumar, Qiongyao Liu, Michael MacRaild, Alejandro F. Frangi
2023	J	`jnl`	Artificial Intelligence in Ovarian Cancer Histopathology: A Systematic Review. CoRR Jack Breen, Katie S. Allen, Kieran Zucker, Pratik Adusumilli, Andy Scarsbrook, Geoff Hall, Nicolas M. Orsi, Nishant Ravikumar
2023	J	`jnl`	Beyond Images: An Integrative Multi-modal Approach to Chest X-Ray Report Generation. CoRR Nurbanu Aksoy, Serge Sharoff, Selcuk Baser, Nishant Ravikumar, Alejandro F. Frangi
2023	—	`conf`	Deep Physics-Informed Super-Resolution of Cardiac 4D-Flow MRI. IPMI Fergus Shone, Nishant Ravikumar, Toni Lassila, Michael MacRaild, Yongxing Wang, Zeike A. Taylor, Peter K. Jimack, Erica Dall' Armellina, Alejandro F. Frangi
2023	—	`conf`	Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning. Digital and Computational Pathology Jack Breen, Katie Allen, Kieran Zucker, Geoff Hall, Nicolas M. Orsi, Nishant Ravikumar
2023	J	`jnl`	Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning. CoRR Jack Breen, Katie S. Allen, Kieran Zucker, Geoff Hall, Nicolas M. Orsi, Nishant Ravikumar
2023	—	`conf`	GSMorph: Gradient Surgery for Cine-MRI Cardiac Deformable Registration. MICCAI (10) Haoran Dou, Ning Bi, Luyi Han, Yuhao Huang, Ritse Mann, Xin Yang, Dong Ni, Nishant Ravikumar, Alejandro F. Frangi, Yunzhi Huang
2023	J	`jnl`	GSMorph: Gradient Surgery for cine-MRI Cardiac Deformable Registration. CoRR Haoran Dou, Ning Bi, Luyi Han, Yuhao Huang, Ritse Mann, Xin Yang, Dong Ni, Nishant Ravikumar, Alejandro F. Frangi, Yunzhi Huang
2023	J	`jnl`	Generative Adversarial Networks for Stain Normalisation in Histopathology. CoRR Jack Breen, Kieran Zucker, Katie Allen, Nishant Ravikumar, Nicolas M. Orsi
2023	J	`jnl`	High-throughput 3DRA segmentation of brain vasculature and aneurysms using deep learning. Comput. Methods Programs Biomed. Fengming Lin, Yan Xia, Shuang Song, Nishant Ravikumar, Alejandro F. Frangi
2023	—	`conf`	Learned Local Attention Maps for Synthesising Vessel Segmentations from T2 MRI. SASHIMI@MICCAI Yash Deo, Rodrigo Bonazzola, Haoran Dou, Yan Xia, Tianyou Wei, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila
2023	J	`jnl`	Learned Local Attention Maps for Synthesising Vessel Segmentations. CoRR Yash Deo, Rodrigo Bonazzola, Haoran Dou, Yan Xia, Tianyou Wei, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila
2023	J	`jnl`	Learning disentangled representations for explainable chest X-ray classification using Dirichlet VAEs. CoRR Rachael Harkness, Alejandro F. Frangi, Kieran Zucker, Nishant Ravikumar
2023	B	`conf`	Learning disentangled representations for explainable chest x-ray classification using Dirichlet VAEs. Image Processing Rachael Harkness, Alejandro F. Frangi, Kieran Zucker, Nishant Ravikumar
2023	J	`jnl`	Mitosis domain generalization in histopathology images - The MIDOG challenge. Medical Image Anal. 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, 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
2023	J	`jnl`	Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI. CoRR Nicolás Gaggion, Benjamin A. Matheson, Yan Xia, Rodrigo Bonazzola, Nishant Ravikumar, Zeike A. Taylor, Diego H. Milone, Alejandro F. Frangi, Enzo Ferrante
2023	J	`jnl`	Predicting Ovarian Cancer Treatment Response in Histopathology using Hierarchical Vision Transformers and Multiple Instance Learning. CoRR Jack Breen, Katie Allen, Kieran Zucker, Geoff Hall, Nishant Ravikumar, Nicolas M. Orsi
2023	J	`jnl`	Radiology Report Generation Using Transformers Conditioned with Non-imaging Data. CoRR Nurbanu Aksoy, Nishant Ravikumar, Alejandro F. Frangi
2023	J	`jnl`	RecON: Online learning for sensorless freehand 3D ultrasound reconstruction. Medical Image Anal. 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
2023	—	`conf`	Shape-Guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature. DGM4MICCAI Yash Deo, Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila
2023	J	`jnl`	Shape-guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature. CoRR Yash Deo, Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila
2023	J	`jnl`	Unsupervised ensemble-based phenotyping helps enhance the discoverability of genes related to heart morphology. CoRR Rodrigo Bonazzola, Enzo Ferrante, Nishant Ravikumar, Yan Xia, Bernard D. Keavney, Sven Plein, Tanveer F. Syeda-Mahmood, Alejandro F. Frangi
2023	J	`jnl`	Virtual high-resolution MR angiography from non-angiographic multi-contrast MRIs: synthetic vascular model populations for in-silico trials. Medical Image Anal. Yan Xia, Nishant Ravikumar, Toni Lassila, Alejandro F. Frangi
2022	—	`conf`	A Generative Framework for Predicting Myocardial Strain from Cine-Cardiac Magnetic Resonance Imaging. MIUA Nina Cheng, Rodrigo Bonazzola, Nishant Ravikumar, Alejandro F. Frangi
2022	J	`jnl`	A Generative Shape Compositional Framework: Towards Representative Populations of Virtual Heart Chimaeras. CoRR Haoran Dou, Seppo Virtanen, Nishant Ravikumar, Alejandro F. Frangi
2022	J	`jnl`	A probabilistic deep motion model for unsupervised cardiac shape anomaly assessment. Medical Image Anal. Arezoo Zakeri, Alireza Hokmabadi, Nishant Ravikumar, Alejandro F. Frangi, Ali Gooya
2022	—	`conf`	Agent with Tangent-Based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound. MICCAI (4) 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
2022	J	`jnl`	Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound. CoRR 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
2022	J	`jnl`	Automatic 3D+t four-chamber CMR quantification of the UK biobank: integrating imaging and non-imaging data priors at scale. Medical Image Anal. Yan Xia, Xiang Chen, Nishant Ravikumar, Christopher Kelly, Rahman Attar, Nay Aung, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
2022	J	`jnl`	Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. Medical Image Anal. 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
2022	—	`conf`	Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation. CVPR Workshops Rebecca S. Stone, Nishant Ravikumar, Andrew J. Bulpitt, David C. Hogg
2022	J	`jnl`	Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation. CoRR Rebecca S. Stone, Nishant Ravikumar, Andrew J. Bulpitt, David C. Hogg
2022	J	`jnl`	Joint segmentation and discontinuity-preserving deformable registration: Application to cardiac cine-MR images. CoRR Xiang Chen, Yan Xia, Nishant Ravikumar, Alejandro F. Frangi
2022	J	`jnl`	Learning to complete incomplete hearts for population analysis of cardiac MR images. Medical Image Anal. Yan Xia, Nishant Ravikumar, Alejandro F. Frangi
2022	—	`conf`	Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework. MICCAI (4) Haoran Dou, Luyi Han, Yushuang He, Jun Xu, Nishant Ravikumar, Ritse Mann, Alejandro F. Frangi, Pew-Thian Yap, Yunzhi Huang
2022	J	`jnl`	Localizing the Recurrent Laryngeal Nerve via Ultrasound with a Bayesian Shape Framework. CoRR Haoran Dou, Luyi Han, Yushuang He, Jun Xu, Nishant Ravikumar, Ritse Mann, Alejandro F. Frangi, Pew-Thian Yap, Yunzhi Huang
2022	J	`jnl`	Mitosis domain generalization in histopathology images - The MIDOG challenge. CoRR 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
2022	—	`conf`	Predicting Myocardial Infarction Using Retinal OCT Imaging. MIUA Cynthia Maldonado García, Rodrigo Bonazzola, Nishant Ravikumar, Alejandro F. Frangi
2022	J	`jnl`	Predicting myocardial infarction through retinal scans and minimal personal information. Nat. Mach. Intell. 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
2022	J	`jnl`	Three-dimensional micro-structurally informed in silico myocardium - Towards virtual imaging trials in cardiac diffusion weighted MRI. Medical Image Anal. Mojtaba Lashgari, Nishant Ravikumar, Irvin Teh, Jing-Rebecca Li, David L. Buckley, Jürgen E. Schneider, Alejandro F. Frangi
2022	J	`jnl`	Three-dimensional micro-structurally informed in silico myocardium - towards virtual imaging trials in cardiac diffusion weighted MRI. CoRR Mojtaba Lashgari, Nishant Ravikumar, Irvin Teh, Jing-Rebecca Li, David L. Buckley, Jürgen E. Schneider, Alejandro F. Frangi
2021	—	`conf`	A Deep Discontinuity-Preserving Image Registration Network. MICCAI (4) Xiang Chen, Yan Xia, Nishant Ravikumar, Alejandro F. Frangi
2021	J	`jnl`	A Deep Discontinuity-Preserving Image Registration Network. CoRR Xiang Chen, Nishant Ravikumar, Yan Xia, Alejandro F. Frangi
2021	J	`jnl`	A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging. Medical Image Anal. 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
2021	J	`jnl`	Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image Segmentation. CoRR Sulaiman Vesal, Mingxuan Gu, Ronak Kosti, Andreas Maier, Nishant Ravikumar
2021	J	`jnl`	Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimization for Multi-Modal Cardiac Image Segmentation. IEEE Trans. Medical Imaging Sulaiman Vesal, Mingxuan Gu, Ronak Kosti, Andreas Maier, Nishant Ravikumar
2021	—	`conf`	Assessing Domain Adaptation Techniques for Mitosis Detection in Multi-scanner Breast Cancer Histopathology Images. MIDOG/MOOD/Learn2Reg@MICCAI Jack Breen, Kieran Zucker, Nicolas M. Orsi, Nishant Ravikumar
2021	J	`jnl`	Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images. CoRR Jack Breen, Kieran Zucker, Nicolas M. Orsi, Geoff Hall, Nishant Ravikumar
2021	J	`jnl`	CAR-Net: Unsupervised Co-Attention Guided Registration Network for Joint Registration and Structure Learning. CoRR Xiang Chen, Yan Xia, Nishant Ravikumar, Alejandro F. Frangi
2021	—	`conf`	Flip Learning: Erase to Segment. MICCAI (1) Yuhao Huang, Xin Yang, Yuxin Zou, Chaoyu Chen, Jian Wang, Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi, Jianqiao Zhou, Dong Ni
2021	J	`jnl`	Flip Learning: Erase to Segment. CoRR Yuhao Huang, Xin Yang, Yuxin Zou, Chaoyu Chen, Jian Wang, Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi, Jianqiao Zhou, Dong Ni
2021	—	`conf`	Image-Derived Phenotype Extraction for Genetic Discovery via Unsupervised Deep Learning in CMR Images. MICCAI (5) Rodrigo Bonazzola, Nishant Ravikumar, Rahman Attar, Enzo Ferrante, Tanveer F. Syeda-Mahmood, Alejandro F. Frangi
2021	J	`jnl`	Recovering from missing data in population imaging - Cardiac MR image imputation via conditional generative adversarial nets. Medical Image Anal. Yan Xia, Le Zhang, Nishant Ravikumar, Rahman Attar, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
2021	—	`conf`	Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction. MICCAI (6) Mingyuan Luo, Xin Yang, Xiaoqiong Huang, Yuhao Huang, Yuxin Zou, Xindi Hu, Nishant Ravikumar, Alejandro F. Frangi, Dong Ni
2021	J	`jnl`	Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction. CoRR Mingyuan Luo, Xin Yang, Xiaoqiong Huang, Yuhao Huang, Yuxin Zou, Xindi Hu, Nishant Ravikumar, Alejandro F. Frangi, Dong Ni
2021	J	`jnl`	Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds. Medical Image Anal. Xiang Chen, Nishant Ravikumar, Yan Xia, Rahman Attar, Andres Diaz-Pinto, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
2021	J	`jnl`	Spatio-Temporal Multi-Task Learning for Cardiac MRI Left Ventricle Quantification. IEEE J. Biomed. Health Informatics Sulaiman Vesal, Mingxuan Gu, Andreas Maier, Nishant Ravikumar
2021	—	`conf`	Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound. MLMI@MICCAI 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
2021	J	`jnl`	Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound. CoRR 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
2021	—	`conf`	Style Curriculum Learning for Robust Medical Image Segmentation. MICCAI (1) Zhendong Liu, Manh The Van, Xin Yang, Xiaoqiong Huang, Karim Lekadir, Víctor M. Campello, Nishant Ravikumar, Alejandro F. Frangi, Dong Ni
2021	J	`jnl`	Style Curriculum Learning for Robust Medical Image Segmentation. CoRR Zhendong Liu, Manh The Van, Xin Yang, Xiaoqiong Huang, Karim Lekadir, Víctor M. Campello, Nishant Ravikumar, Alejandro F. Frangi, Dong Ni
2021	J	`jnl`	Super-Resolution of Cardiac MR Cine Imaging using Conditional GANs and Unsupervised Transfer Learning. Medical Image Anal. Yan Xia, Nishant Ravikumar, John P. Greenwood, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi
2021	—	`conf`	The Pitfalls of Using Open Data to Develop Deep Learning Solutions for COVID-19 Detection in Chest X-Rays. MedInfo Rachael Harkness, Geoff Hall, Alejandro F. Frangi, Nishant Ravikumar, Kieran Zucker
2021	J	`jnl`	The pitfalls of using open data to develop deep learning solutions for COVID-19 detection in chest X-rays. CoRR Rachael Harkness, Geoff Hall, Alejandro F. Frangi, Nishant Ravikumar, Kieran Zucker
2020	J	`jnl`	A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging. CoRR 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
2020	—	`conf`	Abstract: Divide-And-Conquer Approach Towards Understanding Deep Networks. Bildverarbeitung für die Medizin Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Andreas K. Maier
2020	—	`conf`	COPD Classification in CT Images Using a 3D Convolutional Neural Network. Bildverarbeitung für die Medizin Jalil Ahmed, Sulaiman Vesal, Felix Durlak, Rainer Kärgel, Nishant Ravikumar, Martine Rémy-Jardin, Andreas K. Maier
2020	J	`jnl`	COPD Classification in CT Images Using a 3D Convolutional Neural Network. CoRR Jalil Ahmed, Sulaiman Vesal, Felix Durlak, Rainer Kärgel, Nishant Ravikumar, Martine Rémy-Jardin, Andreas K. Maier
2020	J	`jnl`	Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge. CoRR 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
2020	J	`jnl`	Fed-Sim: Federated Simulation for Medical Imaging. CoRR Daiqing Li, Amlan Kar, Nishant Ravikumar, Alejandro F. Frangi, Sanja Fidler
2020	—	`conf`	Federated Simulation for Medical Imaging. MICCAI (1) Daiqing Li, Amlan Kar, Nishant Ravikumar, Alejandro F. Frangi, Sanja Fidler
2020	J	`jnl`	Fully Automated 3D Cardiac MRI Localisation and Segmentation Using Deep Neural Networks. J. Imaging Sulaiman Vesal, Andreas Maier, Nishant Ravikumar
2020	—	`conf`	Imitation Learning Network for Fundus Image Registration Using a Divide-And-Conquer Approach. Bildverarbeitung für die Medizin Siming Bayer, Xia Zhong, Weilin Fu, Nishant Ravikumar, Andreas K. Maier
2020	J	`jnl`	Mapping Ensembles of Trees to Sparse, Interpretable Multilayer Perceptron Networks. SN Comput. Sci. Dalia Rodríguez-Salas, Nina Mürschberger, Nishant Ravikumar, Mathias Seuret, Andreas Maier
2020	J	`jnl`	Partially Conditioned Generative Adversarial Networks. CoRR Francisco Javier Ibarrola, Nishant Ravikumar, Alejandro F. Frangi
2020	J	`jnl`	Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification. CoRR Sulaiman Vesal, Mingxuan Gu, Andreas Maier, Nishant Ravikumar
2020	Misc	`conf`	The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks. ICASSP Faezeh Nejati Hatamian, Nishant Ravikumar, Sulaiman Vesal, Felix P. Kemeth, Matthias Struck, Andreas K. Maier
2020	J	`jnl`	The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks. CoRR Faezeh Nejati Hatamian, Nishant Ravikumar, Sulaiman Vesal, Felix P. Kemeth, Matthias Struck, Andreas Maier
2019	—	`conf`	A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT. SegTHOR@ISBI Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier
2019	J	`jnl`	A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT. CoRR Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier
2019	—	`conf`	A Divide-and-Conquer Approach Towards Understanding Deep Networks. MICCAI (1) Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Andreas K. Maier
2019	J	`jnl`	A Divide-and-Conquer Approach towards Understanding Deep Networks. CoRR Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Andreas K. Maier
2019	J	`jnl`	Analyzing an Imitation Learning Network for Fundus Image Registration Using a Divide-and-Conquer Approach. CoRR Siming Bayer, Xia Zhong, Weilin Fu, Nishant Ravikumar, Andreas Maier
2019	—	`conf`	Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation. STACOM@MICCAI Sulaiman Vesal, Nishant Ravikumar, Andreas Maier
2019	J	`jnl`	Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation. CoRR Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier
2019	—	`conf`	Coronary Artery Plaque Characterization from CCTA Scans Using Deep Learning and Radiomics. MICCAI (4) Felix Denzinger, Michael Wels, Nishant Ravikumar, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas Maier
2019	J	`jnl`	Coronary Artery Plaque Characterization from CCTA Scans using Deep Learning and Radiomics. CoRR Felix Denzinger, Michael Wels, Nishant Ravikumar, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas Maier
2019	—	`conf`	Detection of Unseen Low-Contrast Signals Using Classic and Novel Model Observers. Bildverarbeitung für die Medizin Yiling Xu, Frank Schebesch, Nishant Ravikumar, Andreas K. Maier
2019	—	`conf`	Dilated Deeply Supervised Networks for Hippocampus Segmentation in MRI. Bildverarbeitung für die Medizin Lukas Folle, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier
2019	J	`jnl`	Dilated deeply supervised networks for hippocampus segmentation in MRI. CoRR Lukas Folle, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier
2019	—	`conf`	ForestNet - Automatic Design of Sparse Multilayer Perceptron Network Architectures Using Ensembles of Randomized Trees. ACPR (1) Dalia Rodríguez-Salas, Nishant Ravikumar, Mathias Seuret, Andreas Maier
2019	J	`jnl`	Generalised coherent point drift for group-wise multi-dimensional analysis of diffusion brain MRI data. Medical Image Anal. Nishant Ravikumar, Ali Gooya, Leandro Beltrachini, Alejandro F. Frangi, Zeike A. Taylor
2019	—	`conf`	Mammographic breast density classification using a deep neural network: assessment on the basis of inter-observer variability. Image Perception, Observer Performance, and Technology Assessment Nicole Kaiser, Andreas Fieselmann, Sulaiman Vesal, Nishant Ravikumar, Ludwig Ritschl, Steffen Kappler, Andreas K. Maier
2019	—	`conf`	Maximum Likelihood Estimation of Head Motion Using Epipolar Consistency. Bildverarbeitung für die Medizin Alexander Preuhs, Nishant Ravikumar, Michael Manhart, Bernhard Stimpel, Elisabeth Hoppe, Christopher Syben, Markus Kowarschik, Andreas K. Maier
2019	—	`conf`	Pediatric Patient Surface Model Atlas Generation and X-Ray Skin Dose Estimation. Bildverarbeitung für die Medizin Xia Zhong, Philipp Roser, Siming Bayer, Nishant Ravikumar, Norbert Strobel, Annette Birkhold, Tim Horz, Markus Kowarschik, Rebecca Fahrig, Andreas K. Maier
2019	J	`jnl`	Registration of vascular structures using a hybrid mixture model. Int. J. Comput. Assist. Radiol. Surg. Siming Bayer, Zhiwei Zhai, Maddalena Strumia, Xiaoguang Tong, Ying Gao, Marius Staring, Berend C. Stoel, Rebecca Fahrig, Arya Nabavi, Andreas Maier, Nishant Ravikumar
2019	—	`conf`	Semi-Automatic Cell Correspondence Analysis Using Iterative Point Cloud Registration. Bildverarbeitung für die Medizin Shuqing Chen, Simone Gehrer, Sara Kaliman, Nishant Ravikumar, Abdurrahman Becit, Maryam Aliee, Diana Dudziak, Rudolf Merkel, Ana-Suncana Smith, Andreas K. Maier
2018	—	`conf`	A Multi-task Framework for Skin Lesion Detection and Segmentation. OR 2.0/CARE/CLIP/ISIC@MICCAI Sulaiman Vesal, Shreyas Malakarjun Patil, Nishant Ravikumar, Andreas K. Maier
2018	J	`jnl`	A Multi-task Framework for Skin Lesion Detection and Segmentation. CoRR Sulaiman Vesal, Shreyas Malakarjun Patil, Nishant Ravikumar, Andreas K. Maier
2018	J	`jnl`	Action Learning for 3D Point Cloud Based Organ Segmentation. CoRR Xia Zhong, Mario Amrehn, Nishant Ravikumar, Shuqing Chen, Norbert Strobel, Annette Birkhold, Markus Kowarschik, Rebecca Fahrig, Andreas K. Maier
2018	—	`conf`	Classification of Breast Cancer Histology Images Using Transfer Learning. ICIAR Sulaiman Vesal, Nishant Ravikumar, AmirAbbas Davari, Stephan Ellmann, Andreas K. Maier
2018	J	`jnl`	Classification of breast cancer histology images using transfer learning. CoRR Sulaiman Vesal, Nishant Ravikumar, AmirAbbas Davari, Stephan Ellmann, Andreas K. Maier
2018	—	`conf`	Comparative Analysis of Unsupervised Algorithms for Breast MRI Lesion Segmentation. Bildverarbeitung für die Medizin Sulaiman Vesal, Nishant Ravikumar, Stephan Ellmann, Andreas K. Maier
2018	J	`jnl`	Comparative Analysis of Unsupervised Algorithms for Breast MRI Lesion Segmentation. CoRR Sulaiman Vesal, Nishant Ravikumar, Stephan Ellmann, Andreas K. Maier
2018	—	`conf`	Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium Enhanced-MRI. STACOM@MICCAI Sulaiman Vesal, Nishant Ravikumar, Andreas Maier
2018	J	`jnl`	Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium Enhanced-MRI. CoRR Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier
2018	—	`conf`	Frangi-Net. Bildverarbeitung für die Medizin Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Tobias Würfl, Jim Fujimoto, Eric Moult, Andreas K. Maier
2018	J	`jnl`	Group-wise similarity registration of point sets using Student's t-mixture model for statistical shape models. Medical Image Anal. Nishant Ravikumar, Ali Gooya, Serkan Çimen, Alejandro F. Frangi, Zeike A. Taylor
2018	—	`conf`	Intraoperative Brain Shift Compensation Using a Hybrid Mixture Model. MICCAI (4) Siming Bayer, Nishant Ravikumar, Maddalena Strumia, Xiaoguang Tong, Ying Gao, Martin Ostermeier, Rebecca Fahrig, Andreas K. Maier
2018	—	`conf`	Preliminary Study Investigating Brain Shift Compensation using 3D CBCT Cerebral Vascular Images. Bildverarbeitung für die Medizin Siming Bayer, Roman Schaffert, Nishant Ravikumar, Andreas K. Maier, Xiaodong Tong, Hu Wang, Martin Ostermeier, Rebecca Fahrig
2018	J	`jnl`	Range Imaging for Motion Compensation in C-Arm Cone-Beam CT of Knees under Weight-Bearing Conditions. J. Imaging Bastian Bier, Nishant Ravikumar, Mathias Unberath, Marc E. Levenston, Garry Gold, Rebecca Fahrig, Andreas K. Maier
2018	—	`conf`	Resolve Intraoperative Brain Shift as Imitation Game. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI Xia Zhong, Siming Bayer, Nishant Ravikumar, Norbert Strobel, Annette Birkhold, Markus Kowarschik, Rebecca Fahrig, Andreas K. Maier
2018	J	`jnl`	SkinNet: A Deep Learning Framework for Skin Lesion Segmentation. CoRR Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier
2017	J	`jnl`	Frangi-Net: A Neural Network Approach to Vessel Segmentation. CoRR Weilin Fu, Katharina Breininger, Tobias Würfl, Nishant Ravikumar, Roman Schaffert, Andreas K. Maier
2017	—	`conf`	Generalised Coherent Point Drift for Group-Wise Registration of Multi-dimensional Point Sets. MICCAI (1) Nishant Ravikumar, Ali Gooya, Alejandro F. Frangi, Zeike A. Taylor
2017	J	`jnl`	Semi-Automatic Algorithm for Breast MRI Lesion Segmentation Using Marker-Controlled Watershed Transformation. CoRR Sulaiman Vesal, Andres Diaz-Pinto, Nishant Ravikumar, Stephan Ellmann, AmirAbbas Davari, Andreas K. Maier
2016	—	`conf`	A Multi-resolution T-Mixture Model Approach to Robust Group-Wise Alignment of Shapes. MICCAI (3) Nishant Ravikumar, Ali Gooya, Serkan Çimen, Alejandro F. Frangi, Zeike A. Taylor
2016	—	`conf`	Reconstruction of Coronary Artery Centrelines from X-Ray Angiography Using a Mixture of Student's t-Distributions. MICCAI (3) Serkan Çimen, Ali Gooya, Nishant Ravikumar, Zeike A. Taylor, Alejandro F. Frangi
2016	B	`conf`	Robust group-wise rigid registration of point sets using t-mixture model. Image Processing Nishant Ravikumar, Ali Gooya, Alejandro F. Frangi, Zeike A. Taylor
2015	—	`conf`	3D active shape models of human brain structures: application to patient-specific mesh generation. Computer-Aided Diagnosis Nishant Ravikumar, Isaac Castro-Mateos, Jose M. Pozo, Alejandro F. Frangi, Zeike A. Taylor