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Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image Segmentation


Mar 15, 2021
Sulaiman Vesal, Mingxuan Gu, Ronak Kosti, Andreas Maier, Nishant Ravikumar

* Accepted for publication in IEEE Transactions on Medical Imaging (IEEE TMI) 

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Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification


Dec 24, 2020
Sulaiman Vesal, Mingxuan Gu, Andreas Maier, Nishant Ravikumar

* Accepted at IEEE Journal of Biomedical and Health Informatics (IEEE-JBHI) 

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Fed-Sim: Federated Simulation for Medical Imaging


Sep 01, 2020
Daiqing Li, Amlan Kar, Nishant Ravikumar, Alejandro F Frangi, Sanja Fidler

* MICCAI 2020 (Early Accept) 

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Partially Conditioned Generative Adversarial Networks


Jul 06, 2020
Francisco J. Ibarrola, Nishant Ravikumar, Alejandro F. Frangi

* 10 pages, 9 figures 

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A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging


May 07, 2020
Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas Maier, Xin Yang, Pheng-Ann Heng, Dong Ni, Caizi Li, Qianqian Tong, Weixin Si, Elodie Puybareau, Younes Khoudli, Thierry Geraud, 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, Menyun Qiao, Yuanyuan Wang, Qian Tao, Marta Nunez-Garcia, Oscar Camara, Nicolo Savioli, Pablo Lamata, Jichao Zhao


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The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks


Feb 13, 2020
Faezeh Nejati Hatamian, Nishant Ravikumar, Sulaiman Vesal, Felix P. Kemeth, Matthias Struck, Andreas Maier


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COPD Classification in CT Images Using a 3D Convolutional Neural Network


Jan 04, 2020
Jalil Ahmed, Sulaiman Vesal, Felix Durlak, Rainer Kaergel, Nishant Ravikumar, Martine Remy-Jardin, Andreas Maier


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Analyzing an Imitation Learning Network for Fundus Image Registration Using a Divide-and-Conquer Approach


Dec 19, 2019
Siming Bayer, Xia Zhong, Weilin Fu, Nishant Ravikumar, Andreas Maier

* 6 pages, 2 figures 

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Coronary Artery Plaque Characterization from CCTA Scans using Deep Learning and Radiomics


Dec 13, 2019
Felix Denzinger, Michael Wels, Nishant Ravikumar, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas Maier

* International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2019 

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Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation


Aug 21, 2019
Sulaiman Vesal, Nishant Ravikumar, Andreas Maier

* Accepted at STACOM-MICCAI 2019 

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A Divide-and-Conquer Approach towards Understanding Deep Networks


Jul 14, 2019
Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Andreas Maier

* This paper is accepted in MICCAI 2019 

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A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT


May 19, 2019
Sulaiman Vesal, Nishant Ravikumar, Andreas Maier

* ISBI-SegTHOR 2019 Challenge 

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Dilated deeply supervised networks for hippocampus segmentation in MRI


Mar 20, 2019
Lukas Folle, Sulaiman Vesal, Nishant Ravikumar, Andreas Maier

* BVM 2019 conference paper 

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A Multi-task Framework for Skin Lesion Detection and Segmentation


Aug 05, 2018
Sulaiman Vesal, Shreyas Malakarjun Patil, Nishant Ravikumar, Andreas Maier

* Accepted in ISIC-MICCAI 2018 Workshop 

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Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium Enhanced-MRI


Aug 05, 2018
Sulaiman Vesal, Nishant Ravikumar, Andreas Maier

* Accepted in SATCOM-MICCAI 2018 Workshop 

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SkinNet: A Deep Learning Framework for Skin Lesion Segmentation


Jun 25, 2018
Sulaiman Vesal, Nishant Ravikumar, Andreas Maier

* 2 pages, submitted to NSS/MIC 2018 

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Action Learning for 3D Point Cloud Based Organ Segmentation


Jun 14, 2018
Xia Zhong, Mario Amrehn, Nishant Ravikumar, Shuqing Chen, Norbert Strobel, Annette Birkhold, Markus Kowarschik, Rebecca Fahrig, Andreas Maier


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Classification of breast cancer histology images using transfer learning


Feb 26, 2018
Sulaiman Vesal, Nishant Ravikumar, AmirAbbas Davari, Stephan Ellmann, Andreas Maier

* 8 pages, Submitted to 15th International Conference on Image Analysis and Recognition (ICAIR 2018) 

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Comparative Analysis of Unsupervised Algorithms for Breast MRI Lesion Segmentation


Feb 23, 2018
Sulaiman Vesal, Nishant Ravikumar, Stephan Ellman, Andreas Maier

* 6 pages, submitted to Bildverarbeitung in der Medizin 2018 

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Semi-Automatic Algorithm for Breast MRI Lesion Segmentation Using Marker-Controlled Watershed Transformation


Dec 14, 2017
Sulaiman Vesal, Andres Diaz-Pinto, Nishant Ravikumar, Stephan Ellmann, Amirabbas Davari, Andreas Maier


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Frangi-Net: A Neural Network Approach to Vessel Segmentation


Nov 09, 2017
Weilin Fu, Katharina Breininger, Tobias Würfl, Nishant Ravikumar, Roman Schaffert, Andreas Maier


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