Ahmed Abdulkadir

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Olaf Ronnebergerapl. Prof. for Computer Science, University of Freiburg, GermanyDirección de correo verificada de cs.uni-freiburg.de
Thomas BroxUniversity of FreiburgDirección de correo verificada de cs.uni-freiburg.de
Özgün ÇİÇEKRobert Bosch GmbH, Corporate ResearchDirección de correo verificada de de.bosch.com
Jessica PeterUniversität Bern, Klinik für Alterspsychiatrie und PsychotherapieDirección de correo verificada de upd.unibe.ch
Christos DavatzikosDirector, AI2D Center for AI/Data Science for Integrated Diagnostics, Professor Radiology/ESE/DBEIDirección de correo verificada de pennmedicine.upenn.edu
Haochang ShouAssociate Professor of Biostatistics, University of PennsylvaniaDirección de correo verificada de pennmedicine.upenn.edu
Guray ErusSr. Research Investigator, Radiology Dept.,UPENNDirección de correo verificada de uphs.upenn.edu
Mohamad HabesDirector Biggs Institute Neuroimaging Core, Assoc Prof of Radiology, UT Health San AntonioDirección de correo verificada de uthscsa.edu
Robert BenschANavS GmbH, Munich and Department of Computer Science, University of Freiburg, GermanyDirección de correo verificada de cs.uni-freiburg.de
Thorsten Falk (Schmidt)Image Analysis Lab, University of FreiburgDirección de correo verificada de informatik.uni-freiburg.de
Meritxell Bach CuadraCIBM Center for Biomedical Imaging, Lausanne University (UNIL), Radiology Department (CHUV)Dirección de correo verificada de unil.ch
Junhao (Hao) WenColumbia University & Affiliate faculty at New York Genome Center & Visiting faculty at UPennDirección de correo verificada de cumc.columbia.edu
Thilo StadelmannProfessor of AI/ML, ZHAWDirección de correo verificada de zhaw.ch
Daniel Schmitterdanielschmitter.meDirección de correo verificada de danielschmitter.me
Alexis RocheDidimoDirección de correo verificada de centraliens.net
Francesco La RosaIcahn School of Medicine at Mount SinaiDirección de correo verificada de mssm.edu
Saima RathoreEmory UniversityDirección de correo verificada de emory.edu
Sebastian WaltherUniversität BernDirección de correo verificada de upd.unibe.ch
David GinsbourgerUniversity of BernDirección de correo verificada de stat.unibe.ch
Petra Viher

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Ahmed Abdulkadir

ZHAW

Dirección de correo verificada de zhaw.ch - Página principal

Neuroimaging 3D Image Analysis Deep Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	8514	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	1911	2019
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	385	2015
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	384*	2016
Diagnostic neuroimaging across diseases S Klöppel, A Abdulkadir, CR Jack Jr, N Koutsouleris, J Mourão-Miranda, ... Neuroimage 61 (2), 457-463, 2012	338	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	307	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	187	2014
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	122	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
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	116	2013
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	83	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	76	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	74	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
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	58	2014
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	57	2024
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	56	2022
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	54	2022
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	46	2023

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