‪Shayan Siddiqui‬ - ‪Google Scholar‬

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Citata da

	Tutte	Dal 2019
Citazioni	467	465
Indice H	2	2
i10-index	2	2

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20182019202020212022202320242 9 34 88 110 164 59

Coautori

Sebastian PölsterlComputational Pathology, Oncology R&D, AstraZenecaEmail verificata su poelsterl.net
Nassir NavabProfessor of Computer Science, Technische Universität MünchenEmail verificata su cs.tum.edu
Abhijit Guha RoyGoogle ResearchEmail verificata su google.com
Christian WachingerMIT, Harvard medical schoolEmail verificata su csail.mit.edu

Shayan Siddiqui

Shayan Siddiqui

Technical University of Munich

Email verificata su tum.de - Home page

Machine Learning Deep Learning Segmentation Medical Imaging


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Braintorrent: A peer-to-peer environment for decentralized federated learning AG Roy, S Siddiqui, S Pölsterl, N Navab, C Wachinger arXiv preprint arXiv:1905.06731, 2019	317	2019
‘Squeeze & excite’guided few-shot segmentation of volumetric images AG Roy, S Siddiqui, S Pölsterl, N Navab, C Wachinger Medical image analysis 59, 101587, 2020	148	2020
Few-shot segmentation of 3d medical images AG Roy, S Siddiqui, S Pölsterl, A Farshad, N Navab, C Wachinger Meta Learning With Medical Imaging and Health Informatics Applications, 161-183, 2023	2	2023
Few-Shot Segmentation for Medical Volumetric scans S Siddiqui

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