Ahmed Abdulkadir

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2020
Позовавания	14085	11482
h-индекс	29	26
i10-индекс	50	47

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201320142015201620172018201920202021202220232024202562 97 138 165 304 607 1065 1491 2092 2170 2490 2776 457

Публичен достъп

Преглед на всички

41 статии

7 статии

налични

неналични

Въз основа на изисквания при финансирането

Съавтори

Olaf Ronnebergerapl. Prof. for Computer Science, University of Freiburg, GermanyПотвърден имейл адрес: cs.uni-freiburg.de
Thomas BroxUniversity of FreiburgПотвърден имейл адрес: cs.uni-freiburg.de
Özgün ÇİÇEKRobert Bosch GmbH, Corporate ResearchПотвърден имейл адрес: de.bosch.com
Jessica PeterUniversität Bern, Klinik für Alterspsychiatrie und PsychotherapieПотвърден имейл адрес: upd.unibe.ch
Christos DavatzikosDirector, AI2D Center for AI/Data Science for Integrated Diagnostics, Professor Radiology/ESE/DBEIПотвърден имейл адрес: pennmedicine.upenn.edu
Haochang ShouAssociate Professor of Biostatistics, University of PennsylvaniaПотвърден имейл адрес: pennmedicine.upenn.edu
Guray ErusSr. Research Investigator, Radiology Dept.,UPENNПотвърден имейл адрес: uphs.upenn.edu
Mohamad HabesDirector Biggs Institute Neuroimaging Core, Assoc Prof of Radiology, UT Health San AntonioПотвърден имейл адрес: uthscsa.edu
Robert BenschANavS GmbH, Munich and Department of Computer Science, University of Freiburg, GermanyПотвърден имейл адрес: cs.uni-freiburg.de
Thorsten Falk (Schmidt)Image Analysis Lab, University of FreiburgПотвърден имейл адрес: informatik.uni-freiburg.de
Meritxell Bach CuadraCIBM Center for Biomedical Imaging, Lausanne University (UNIL), Radiology Department (CHUV)Потвърден имейл адрес: unil.ch
Junhao (Hao) WenColumbia University & Affiliate faculty at New York Genome Center & Visiting faculty at UPennПотвърден имейл адрес: cumc.columbia.edu
Thilo StadelmannProfessor of AI/ML, ZHAWПотвърден имейл адрес: zhaw.ch
Daniel Schmitterdanielschmitter.meПотвърден имейл адрес: danielschmitter.me
Alexis RocheDidimoПотвърден имейл адрес: centraliens.net
Francesco La RosaIcahn School of Medicine at Mount SinaiПотвърден имейл адрес: mssm.edu
Saima RathoreEmory UniversityПотвърден имейл адрес: emory.edu
Sebastian WaltherUniversität BernПотвърден имейл адрес: upd.unibe.ch
David GinsbourgerUniversity of BernПотвърден имейл адрес: stat.unibe.ch
Petra Viher

Следене

Ahmed Abdulkadir

ZHAW

Потвърден имейл адрес: zhaw.ch - Начална страница

Neuroimaging 3D Image Analysis Deep Learning


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation Ö Çiçek, A Abdulkadir, SS Lienkamp, T Brox, O Ronneberger International Conference on Medical Image Computing and Computer-Assisted …, 2016	8659	2016
U-Net: deep learning for cell counting, detection, and morphometry T Falk, D Mai, R Bensch, Ö Çiçek, A Abdulkadir, Y Marrakchi, A Böhm, ... Nature methods 16 (1), 67-70, 2019	1923	2019
Medical image computing and computer-assisted intervention–MICCAI 2016 Ö Çiçek, A Abdulkadir, SS Lienkamp, T Brox, O Ronneberger Springer International Publishing, Cham, 424-432, 2016	438*	2016
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge EE Bron, M Smits, WM Van Der Flier, H Vrenken, F Barkhof, P Scheltens, ... NeuroImage 111, 562-579, 2015	392	2015
Diagnostic neuroimaging across diseases S Klöppel, A Abdulkadir, CR Jack Jr, N Koutsouleris, J Mourão-Miranda, ... Neuroimage 61 (2), 457-463, 2012	342	2012
An evaluation of volume-based morphometry for prediction of mild cognitive impairment and Alzheimer's disease D Schmitter, A Roche, B Maréchal, D Ribes, A Abdulkadir, ... NeuroImage: Clinical 7, 7-17, 2015	311	2015
Gray matter atrophy pattern in elderly with subjective memory impairment J Peter, L Scheef, A Abdulkadir, H Boecker, M Heneka, M Wagner, ... Alzheimer's & Dementia 10 (1), 99-108, 2014	208	2014
Insomnia does not appear to be associated with substantial structural brain changes K Spiegelhalder, W Regen, C Baglioni, S Klöppel, A Abdulkadir, J Hennig, ... Sleep 36 (5), 731-737, 2013	119	2013
Multiple sclerosis cortical and WM lesion segmentation at 3T MRI: a deep learning method based on FLAIR and MP2RAGE F La Rosa, A Abdulkadir, MJ Fartaria, R Rahmanzadeh, PJ Lu, ... NeuroImage: Clinical 27, 102335, 2020	118	2020
Effects of hardware heterogeneity on the performance of SVM Alzheimer's disease classifier A Abdulkadir, B Mortamet, P Vemuri, CR Jack Jr, G Krueger, S Klöppel, ... Neuroimage 58 (3), 785-792, 2011	118	2011
Characterizing Heterogeneity in Neuroimaging, Cognition, Clinical Symptoms, and Genetics Among Patients With Late-Life Depression J Wen, CHY Fu, D Tosun, Y Veturi, Z Yang, A Abdulkadir, E Mamourian, ... JAMA psychiatry 79 (5), 464-474, 2022	88	2022
A deep learning framework identifies dimensional representations of Alzheimer’s Disease from brain structure Z Yang, IM Nasrallah, H Shou, J Wen, J Doshi, M Habes, G Erus, ... Nature communications 12 (1), 7065, 2021	81	2021
Applying automated MR-based diagnostic methods to the memory clinic: a prospective study S Klöppel, J Peter, A Ludl, A Pilatus, S Maier, I Mader, B Heimbach, ... Journal of Alzheimer's Disease 47 (4), 939-954, 2015	78	2015
Deep generative medical image harmonization for improving cross‐site generalization in deep learning predictors VM Bashyam, J Doshi, G Erus, D Srinivasan, A Abdulkadir, A Singh, ... Journal of Magnetic Resonance Imaging 55 (3), 908-916, 2022	76	2022
A comparison of different automated methods for the detection of white matter lesions in MRI data S Klöppel, A Abdulkadir, S Hadjidemetriou, S Issleib, L Frings, TN Thanh, ... NeuroImage 57 (2), 416-422, 2011	69	2011
A comprehensive survey of deep transfer learning for anomaly detection in industrial time series: Methods, applications, and directions P Yan, A Abdulkadir, PP Luley, M Rosenthal, GA Schatte, BF Grewe, ... IEEE Access, 2024	62	2024
Applications of Generative Adversarial Networks in Neuroimaging and Clinical Neuroscience R Wang, V Bashyam, Z Yang, F Yu, V Tassopoulou, LP Sreepada, ... arXiv preprint arXiv:2206.07081, 2022	59	2022
Multi-scale semi-supervised clustering of brain images: deriving disease subtypes J Wen, E Varol, A Sotiras, Z Yang, GB Chand, G Erus, H Shou, ... Medical Image Analysis 75, 102304, 2022	58	2022
Correction of inter-scanner and within-subject variance in structural MRI based automated diagnosing D Kostro, A Abdulkadir, A Durr, R Roos, BR Leavitt, H Johnson, D Cash, ... NeuroImage 98, 405-415, 2014	56	2014
Explainable, domain-adaptive, and federated artificial intelligence in medicine A Chaddad, Q Lu, J Li, Y Katib, R Kateb, C Tanougast, A Bouridane, ... IEEE/CAA Journal of Automatica Sinica 10 (4), 859-876, 2023	50	2023

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