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


Jan 07, 2023
Rodrigo Bonazzola, Enzo Ferrante, Nishant Ravikumar, Yan Xia, Bernard Keavney, Sven Plein, Tanveer Syeda-Mahmood, Alejandro F Frangi

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* 14 pages of main text, 22 pages of supplemental information 

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


Nov 24, 2022
Xiang Chen, Yan Xia, Nishant Ravikumar, Alejandro F Frangi

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


Oct 04, 2022
Haoran Dou, Seppo Virtanen, Nishant Ravikumar, Alejandro F. Frangi

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* 15 pages, 4 figures 

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


Aug 22, 2022
Mojtaba Lashgari, Nishant Ravikumar, Irvin Teh, Jing-Rebecca Li, David L. Buckley, Jurgen E. Schneider, Alejandro F. Frangi

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* Medical Image Analysis, in press 

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


Jul 01, 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

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* Accepted by MICCAI 2022 

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


Jun 30, 2022
Haoran Dou, Luyi Han, Yushuang He, Jun Xu, Nishant Ravikumar, Ritse Mann, Alejandro F. Frangi, Pew-Thian Yap, Yunzhi Huang

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* Early Accepted by MICCAI 2022 

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Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation


Apr 20, 2022
Rebecca S Stone, Nishant Ravikumar, Andrew J Bulpitt, David C Hogg

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* To be published in 2022 IEEE CVPR Workshop on Fair, Data Efficient and Trusted Computer Vision 

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Mitosis domain generalization in histopathology images -- The MIDOG challenge


Apr 06, 2022
Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopleisch, Natalie ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas Maier, Jack Breen, Nishant Ravikumar, Youjin Chung, Jinah Park, Ramin Nateghi, Fattaneh Pourakpour, Rutger H. J. Fick, Saima Ben Hadj, Mostafa Jahanifar, Nasir 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

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* 19 pages, 9 figures, summary paper of the 2021 MICCAI MIDOG challenge 

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


Sep 25, 2021
Jack Breen, Kieran Zucker, Nicolas Orsi, Geoff Hall, Nishant Ravikumar

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The pitfalls of using open data to develop deep learning solutions for COVID-19 detection in chest X-rays


Sep 14, 2021
Rachael Harkness, Geoff Hall, Alejandro F Frangi, Nishant Ravikumar, Kieran Zucker

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* To be published in MedInfo 21 - 18th World Congress on Medical and Health Informatics; 5 pages, 5 figures 

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