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2020 – today
- 2023
[j22]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: 107355 (2023)- [j21]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: 102699 (2023) - [j20]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: 102810 (2023) - [j19]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: 102814 (2023) - [c43]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: 511-522 - [i48]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 abs/2301.02916 (2023) - [i47]Rachael Harkness, Alejandro F. Frangi, Kieran Zucker, Nishant Ravikumar:
Learning disentangled representations for explainable chest X-ray classification using Dirichlet VAEs. CoRR abs/2302.02979 (2023) - [i46]Jack Breen, Katie S. 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 abs/2302.08867 (2023) - [i45]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 abs/2303.16564 (2023) - [i44]Jack Breen, Katie S. Allen, Kieran Zucker, Pratik Adusumilli, Andy Scarsbrook, Geoff Hall, Nicolas M. Orsi, Nishant Ravikumar:
Artificial Intelligence in Ovarian Cancer Histopathology: A Systematic Review. CoRR abs/2303.18005 (2023) - [i43]Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi:
A Conditional Flow Variational Autoencoder for Controllable Synthesis of Virtual Populations of Anatomy. CoRR abs/2306.14680 (2023) - [i42]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 abs/2306.14687 (2023) - [i41]Jack Breen, Kieran Zucker, Katie Allen, Nishant Ravikumar, Nicolas M. Orsi:
Generative Adversarial Networks for Stain Normalisation in Histopathology. CoRR abs/2308.02851 (2023) - [i40]Fengming Lin, Yan Xia, Nishant Ravikumar, Qiongyao Liu, Michael MacRaild, Alejandro F. Frangi:
Adaptive Semi-Supervised Segmentation of Brain Vessels with Ambiguous Labels. CoRR abs/2308.03613 (2023) - [i39]Yash Deo, Haoran Dou, Nishant Ravikumar, Alejandro F. Frangi, Toni Lassila:
Shape-guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature. CoRR abs/2308.06781 (2023) - [i38]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 abs/2308.12861 (2023) - 2022
- [j18]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: 102276 (2022) - [j17]Yan Xia, Nishant Ravikumar, Alejandro F. Frangi:
Learning to complete incomplete hearts for population analysis of cardiac MR images. Medical Image Anal. 77: 102354 (2022) - [j16]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: 102498 (2022) - [j15]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: 102528 (2022) - [j14]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: 102592 (2022) - [j13]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): 55-61 (2022) - [c42]Rebecca S. Stone, Nishant Ravikumar, Andrew J. Bulpitt, David C. Hogg:
Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation. CVPR Workshops 2022: 2897-2904 - [c41]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: 258-267 - [c40]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: 300-309 - [c39]Nina Cheng, Rodrigo Bonazzola, Nishant Ravikumar, Alejandro F. Frangi:
A Generative Framework for Predicting Myocardial Strain from Cine-Cardiac Magnetic Resonance Imaging. MIUA 2022: 482-493 - [c38]Cynthia Maldonado García, Rodrigo Bonazzola, Nishant Ravikumar, Alejandro F. Frangi:
Predicting Myocardial Infarction Using Retinal OCT Imaging. MIUA 2022: 787-797 - [i37]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 abs/2204.03742 (2022) - [i36]Rebecca S. Stone, Nishant Ravikumar, Andrew J. Bulpitt, David C. Hogg:
Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation. CoRR abs/2204.09389 (2022) - [i35]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 abs/2206.15254 (2022) - [i34]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 abs/2207.00475 (2022) - [i33]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 abs/2208.10623 (2022) - [i32]Haoran Dou, Seppo Virtanen, Nishant Ravikumar, Alejandro F. Frangi:
A Generative Shape Compositional Framework: Towards Representative Populations of Virtual Heart Chimaeras. CoRR abs/2210.01607 (2022) - [i31]Xiang Chen, Yan Xia, Nishant Ravikumar, Alejandro F. Frangi:
Joint segmentation and discontinuity-preserving deformable registration: Application to cardiac cine-MR images. CoRR abs/2211.13828 (2022) - 2021
- [j12]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: 101812 (2021) - [j11]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: 101832 (2021) - [j10]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: 102037 (2021) - [j9]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: 102228 (2021) - [j8]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): 2698-2709 (2021) - [j7]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): 1838-1851 (2021) - [c37]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: 679-683 - [c36]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: 14-22 - [c35]Xiang Chen, Yan Xia, Nishant Ravikumar, Alejandro F. Frangi:
A Deep Discontinuity-Preserving Image Registration Network. MICCAI (4) 2021: 46-55 - [c34]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: 190-198 - [c33]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: 201-210 - [c32]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: 451-460 - [c31]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: 493-502 - [c30]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: 699-708 - [i30]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 abs/2103.08219 (2021) - [i29]Xiang Chen, Yan Xia, Nishant Ravikumar, Alejandro F. Frangi:
CAR-Net: Unsupervised Co-Attention Guided Registration Network for Joint Registration and Structure Learning. CoRR abs/2106.06637 (2021) - [i28]Xiang Chen, Nishant Ravikumar, Yan Xia, Alejandro F. Frangi:
A Deep Discontinuity-Preserving Image Registration Network. CoRR abs/2107.04440 (2021) - [i27]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 abs/2108.00274 (2021) - [i26]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 abs/2108.00402 (2021) - [i25]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 abs/2108.00752 (2021) - [i24]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 abs/2108.05055 (2021) - [i23]Jack Breen, Kieran Zucker, Nicolas M. Orsi, Geoff Hall, Nishant Ravikumar:
Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images. CoRR abs/2109.00869 (2021) - [i22]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 abs/2109.08020 (2021) - 2020
- [j6]Sulaiman Vesal, Andreas Maier, Nishant Ravikumar:
Fully Automated 3D Cardiac MRI Localisation and Segmentation Using Deep Neural Networks. J. Imaging 6(7): 65 (2020) - [j5]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): 252 (2020) - [c29]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: 39-45 - [c28]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: 301-306 - [c27]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: 313 - [c26]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: 1264-1268 - [c25]Daiqing Li, Amlan Kar, Nishant Ravikumar, Alejandro F. Frangi, Sanja Fidler:
Federated Simulation for Medical Imaging. MICCAI (1) 2020: 159-168 - [i21]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 abs/2001.01100 (2020) - [i20]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 abs/2002.02870 (2020) - [i19]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 abs/2004.12314 (2020) - [i18]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 abs/2006.12434 (2020) - [i17]Francisco Javier Ibarrola, Nishant Ravikumar, Alejandro F. Frangi:
Partially Conditioned Generative Adversarial Networks. CoRR abs/2007.02845 (2020) - [i16]Daiqing Li, Amlan Kar, Nishant Ravikumar, Alejandro F. Frangi, Sanja Fidler:
Fed-Sim: Federated Simulation for Medical Imaging. CoRR abs/2009.00668 (2020) - [i15]Sulaiman Vesal, Mingxuan Gu, Andreas Maier, Nishant Ravikumar:
Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification. CoRR abs/2012.13364 (2020)
2010 – 2019
- 2019
- [j4]Siming Bayer, Zhiwei Zhai, Maddalena Strumia, Xiaoguang Tong, Ying Gao, Marius Staring, Berend C. Stoel, Rebecca Fahrig, Arya Nabavi, Andreas Maier, Nishant Ravikumar:
Registration of vascular structures using a hybrid mixture model. Int. J. Comput. Assist. Radiol. Surg. 14(9): 1507-1516 (2019) - [j3]Nishant Ravikumar, Ali Gooya, Leandro Beltrachini, Alejandro F. Frangi, Zeike A. Taylor:
Generalised coherent point drift for group-wise multi-dimensional analysis of diffusion brain MRI data. Medical Image Anal. 53: 47-63 (2019) - [c24]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: 32-45 - [c23]Lukas Folle, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier:
Dilated Deeply Supervised Networks for Hippocampus Segmentation in MRI. Bildverarbeitung für die Medizin 2019: 68-73 - [c22]Shuqing Chen, Simone Gehrer, Sara Kaliman, Nishant Ravikumar, Abdurrahman Becit, Maryam Aliee, Diana Dudziak, Rudolf Merkel, Ana-Suncana Smith, Andreas K. Maier:
Semi-Automatic Cell Correspondence Analysis Using Iterative Point Cloud Registration. Bildverarbeitung für die Medizin 2019: 116-121 - [c21]Xia Zhong, Philipp Roser, Siming Bayer, Nishant Ravikumar, Norbert Strobel, Annette Birkhold, Tim Horz, Markus Kowarschik, Rebecca Fahrig, Andreas K. Maier:
Pediatric Patient Surface Model Atlas Generation and X-Ray Skin Dose Estimation. Bildverarbeitung für die Medizin 2019: 122-127 - [c20]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: 134-139 - [c19]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: 212-217 - [c18]Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier:
A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT. SegTHOR@ISBI 2019 - [c17]Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Andreas K. Maier:
A Divide-and-Conquer Approach Towards Understanding Deep Networks. MICCAI (1) 2019: 183-191 - [c16]Sulaiman Vesal, Nishant Ravikumar, Andreas Maier:
Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation. STACOM@MICCAI 2019: 300-308 - [c15]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. MICCAI (4) 2019: 593-601 - [c14]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: 109520O - [i14]Lukas Folle, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier:
Dilated deeply supervised networks for hippocampus segmentation in MRI. CoRR abs/1903.09097 (2019) - [i13]Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier:
A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT. CoRR abs/1905.07710 (2019) - [i12]Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Andreas K. Maier:
A Divide-and-Conquer Approach towards Understanding Deep Networks. CoRR abs/1907.06194 (2019) - [i11]Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier:
Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation. CoRR abs/1908.07726 (2019) - [i10]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 abs/1912.06075 (2019) - [i9]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 abs/1912.10837 (2019) - 2018
- [j2]Bastian Bier, Nishant Ravikumar, Mathias Unberath, Marc E. Levenston, Garry Gold, Rebecca Fahrig, Andreas K. Maier:
Range Imaging for Motion Compensation in C-Arm Cone-Beam CT of Knees under Weight-Bearing Conditions. J. Imaging 4(1): 13 (2018) - [j1]Nishant Ravikumar, Ali Gooya, Serkan Çimen, Alejandro F. Frangi, Zeike A. Taylor:
Group-wise similarity registration of point sets using Student's t-mixture model for statistical shape models. Medical Image Anal. 44: 156-176 (2018) - [c13]Siming Bayer, Roman Schaffert, Nishant Ravikumar, Andreas K. Maier, Xiaodong Tong, Hu Wang, Martin Ostermeier, Rebecca Fahrig:
Preliminary Study Investigating Brain Shift Compensation using 3D CBCT Cerebral Vascular Images. Bildverarbeitung für die Medizin 2018: 163-168 - [c12]Sulaiman Vesal, Nishant Ravikumar, Stephan Ellmann, Andreas K. Maier:
Comparative Analysis of Unsupervised Algorithms for Breast MRI Lesion Segmentation. Bildverarbeitung für die Medizin 2018: 257-262 - [c11]Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Tobias Würfl, Jim Fujimoto, Eric Moult, Andreas K. Maier:
Frangi-Net. Bildverarbeitung für die Medizin 2018: 341-346 - [c10]Sulaiman Vesal, Nishant Ravikumar, AmirAbbas Davari, Stephan Ellmann, Andreas K. Maier:
Classification of Breast Cancer Histology Images Using Transfer Learning. ICIAR 2018: 812-819 - [c9]Siming Bayer, Nishant Ravikumar, Maddalena Strumia, Xiaoguang Tong, Ying Gao, Martin Ostermeier, Rebecca Fahrig, Andreas K. Maier:
Intraoperative Brain Shift Compensation Using a Hybrid Mixture Model. MICCAI (4) 2018: 116-124 - [c8]Xia Zhong, Siming Bayer, Nishant Ravikumar, Norbert Strobel, Annette Birkhold, Markus Kowarschik, Rebecca Fahrig, Andreas K. Maier:
Resolve Intraoperative Brain Shift as Imitation Game. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI 2018: 129-137 - [c7]Sulaiman Vesal, Shreyas Malakarjun Patil, Nishant Ravikumar, Andreas K. Maier:
A Multi-task Framework for Skin Lesion Detection and Segmentation. OR 2.0/CARE/CLIP/ISIC@MICCAI 2018: 285-293 - [c6]Sulaiman Vesal, Nishant Ravikumar, Andreas Maier:
Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium Enhanced-MRI. STACOM@MICCAI 2018: 319-328 - [i8]Sulaiman Vesal, Nishant Ravikumar, Stephan Ellmann, Andreas K. Maier:
Comparative Analysis of Unsupervised Algorithms for Breast MRI Lesion Segmentation. CoRR abs/1802.08655 (2018) - [i7]Sulaiman Vesal, Nishant Ravikumar, AmirAbbas Davari, Stephan Ellmann, Andreas K. Maier:
Classification of breast cancer histology images using transfer learning. CoRR abs/1802.09424 (2018) - [i6]Xia Zhong, Mario Amrehn, Nishant Ravikumar, Shuqing Chen, Norbert Strobel, Annette Birkhold, Markus Kowarschik, Rebecca Fahrig, Andreas K. Maier:
Action Learning for 3D Point Cloud Based Organ Segmentation. CoRR abs/1806.05724 (2018) - [i5]