Хайлтын үр дүнгүүд - Nishant Ravikumar

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  1. 1
    SkinNet: A Deep Learning Framework for Skin Lesion Segmentation

    SkinNet: A Deep Learning Framework for Skin Lesion Segmentation -н Sulaiman Vesal, Nishant Ravikumar, Andreas Maier

    Хэвлэсэн 2018
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    Pré-impressão
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  2. 2
    Deep learning in medical image registration

    Deep learning in medical image registration -н Xiang Chen, Andres Diaz‐Pinto, Nishant Ravikumar, Alejandro F. Frangi

    Хэвлэсэн 2020
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    Artigo
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  3. 3
    Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimization for Multi-Modal Cardiac Image Segmentation

    Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimization for Multi-Modal Cardiac Image Segmentation -н Sulaiman Vesal, Mingxuan Gu, Ronak Kosti, Andreas Maier, Nishant Ravikumar

    Хэвлэсэн 2021
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    Artigo
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  4. 4
    High-throughput 3DRA segmentation of brain vasculature and aneurysms using deep learning

    High-throughput 3DRA segmentation of brain vasculature and aneurysms using deep learning -н Fengming Lin, Yan Xia, Shuang Song, Nishant Ravikumar, Alejandro F. Frangi

    Хэвлэсэн 2023
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    Artigo
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  5. 5
    The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks

    The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks -н Faezeh Nejati Hatamian, Nishant Ravikumar, Sulaiman Vesal, Felix P. Kemeth, Matthias Struck, Andreas Maier

    Хэвлэсэн 2020
    Бүрэн текст авах
    Artigo
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  6. 6
    Artificial intelligence in ovarian cancer histopathology: a systematic review

    Artificial intelligence in ovarian cancer histopathology: a systematic review -н Jack Breen, Katrina J. Allen, Kieran Zucker, Pratik Adusumilli, Andrew Scarsbrook, Geoff Hall, Nicolas M. Orsi, Nishant Ravikumar

    Хэвлэсэн 2023
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    Revisão
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  7. 7
    Unsupervised ensemble-based phenotyping enhances discoverability of genes related to left-ventricular morphology

    Unsupervised ensemble-based phenotyping enhances discoverability of genes related to left-ventricular morphology -н Rodrigo Bonazzola, Enzo Ferrante, Nishant Ravikumar, Yan Xia, Bernard Keavney, Sven Plein, Tanveer Syeda-Mahmood, Alejandro F. Frangi

    Хэвлэсэн 2024
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    Artigo
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  8. 8
    Retinal imaging for the assessment of stroke risk: a systematic review

    Retinal imaging for the assessment of stroke risk: a systematic review -н Zain Girach, Arni Sarian, Cynthia Maldonado-García, Nishant Ravikumar, Panagiotis I. Sergouniotis, Peter M. Rothwell, Alejandro F. Frangi, Thomas Julian

    Хэвлэсэн 2024
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    Revisão
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  9. 9
    Subject-specific multi-poroelastic model for exploring the risk factors associated with the early stages of Alzheimer's disease

    Subject-specific multi-poroelastic model for exploring the risk factors associated with the early stages of Alzheimer's disease -н Liwei Guo, John C. Vardakis, Toni Lassila, Micaela Mitolo, Nishant Ravikumar, Dean Chou, Matthias Lange, Ali Sarrami‐Foroushani, Brett Tully, Zeike A. Taylor, S.D. Varma, Annalena Venneri, Alejandro F. Frangi, Yiannis Ventikos

    Хэвлэсэн 2017
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    Artigo
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  10. 10
    Development and External Validation of [18F]FDG PET-CT-Derived Radiomic Models for Prediction of Abdominal Aortic Aneurysm Growth Rate

    Development and External Validation of [18F]FDG PET-CT-Derived Radiomic Models for Prediction of Abdominal Aortic Aneurysm Growth Rate -н Simran Singh Dhesi, Pratik Adusumilli, Nishant Ravikumar, Mohammed Abdul 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 Bailey, Andrew Scarsbrook

    Хэвлэсэн 2025
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    Artigo
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  11. 11
    Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge

    Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge -н 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 R. Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li

    Хэвлэсэн 2022
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    Artigo
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  12. 12
    A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging

    A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging -н 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, 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, Menyun Qiao, Yuanyuan Wang, Qian Tao, Marta Nuñez‐Garcia, Óscar Cámara, Nicoló Savioli, Pablo Lamata, Jichao Zhao

    Хэвлэсэн 2020
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    Artigo
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