Dr. Ahmed Abdulkadir
Dr. Ahmed Abdulkadir
ZHAW
School of Engineering
Machine Perception & Cognition Group
Technikumstrasse 71
8400 Winterthur
Work at ZHAW
Position
Scientist, expert, innovator, reviewer, mentor
Focus
- Machine learning
- Deep learning
- Medical image analysis
- Industrial AI
Teaching
- Computer Vision with Deep Learning
- Introduction to Artificial Intelligence
- Guest lecture Introduction to AI for BSc in Ergotherapy
Experience
- Expert Data Analyst (part-time)
University Hospital of Old Age Psychiatry and Psychotherapy
08 / 2023 - today - Senior Researcher
ZHAW
03 / 2023 - today - Senior Researcher
Centre hospitalier universitaire vaudois (CHUV)
02 / 2022 - 02 / 2023 - Research Fellow / Visiting Researcher
University of Pennsylvania
08 / 2019 - 01 / 2022 - Researcher
University Hospital of Old Age Psychiatry and Psychotherapy
01 / 2019 - 01 / 2020 - Research Assistant / PhD Student
University Hospital of Old Age Psychiatry and Psychotherapy
11 / 2016 - 12 / 2018 - Research Assistant / PhD Student
University Medical Center Freiburg-im-Breisgau
08 / 2012 - 10 / 2016 - Automation engineer
Kowap AG
01 / 2008 - 07 / 2012
Education and Continuing education
Education
- PhD / Computer sciences
Albert-Ludwigs-University Freiburg-im-Breisgau
08 / 2012 - 12 / 2018 - MSc / Life sciences
École Polytechnique Fédérale de Lausanne
09 / 2010 - 07 / 2012 - BSc / Life sciences
École Polytechnique Fédérale de Lausanne
09 / 2007 - 07 / 2010 - BSc / Systems engineering
NTB Buchs
09 / 2001 - 08 / 2004
Network
Membership of networks
ORCID digital identifier
Projects
- Master3D – 3D-Master for a Digitized Manufacturing Platform / Team member / abgeschlossen
- DISTRAL: Industrial Process Monitoring for Injection Molding with Distributed Transfer Learning / Team member / abgeschlossen
Publications
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Jermain, Peter R; Oswald, Martin; Langdun, Tenzin; Wright, Santana; Khan, Ashraf; Stadelmann, Thilo; Abdulkadir, Ahmed; Yaroslavsky, Anna N.,
2024.
Deep learning-based cell segmentation for rapid optical cytopathology of thyroid cancer.
Scientific Reports.
14(1), pp. 16389.
Available from: https://doi.org/10.1038/s41598-024-64855-2
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Yan, Peng; Abdulkadir, Ahmed; Luley, Paul-Philipp; Rosenthal, Matthias; Schatte, Gerrit A.; Grewe, Benjamin F.; Stadelmann, Thilo,
2024.
IEEE Access.
12, pp. 3768-3789.
Available from: https://doi.org/10.1109/ACCESS.2023.3349132
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Rathore, Saima; Iftikhar, Muhammad A.; Chaddad, Ahmad; Singh, Ashish; Gillani, Zeeshan; Abdulkadir, Ahmed,
2023.
Computer Methods and Programs in Biomedicine.
242(107812).
Available from: https://doi.org/10.1016/j.cmpb.2023.107812
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Yan, Peng; Abdulkadir, Ahmed; Aguzzi, Giulia; Schatte, Gerrit A.; Grewe, Benjamin F.; Stadelmann, Thilo,
2024.
In:
2024 11th IEEE Swiss Conference on Data Science (SDS).
11th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 30-31 May 2024.
IEEE.
pp. 138-145.
Available from: https://doi.org/10.1109/SDS60720.2024.00027
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Jermain, Peter R.; Oswald, Martin; Langdun, Tenzin; Wright, Santana; Khan, Ashraf; Stadelmann, Thilo; Abdulkadir, Ahmed; Yaroslavsky, Ann N.,
2024.
Rapid optical cytology with deep learning-based cell segmentation for diagnosis of thyroid lesions [paper].
In:
Optica Biophotonics Congress: Biomedical Optics 2024 (Translational, Microscopy, OCT, OTS, BRAIN).
Optica Biophotonics Congress: Biomedical Optics, Fort Lauderdale, USA, 7-10 April 2024.
Optica Publishing Group.
pp. MTu4A.5.
Available from: https://doi.org/10.1364/MICROSCOPY.2024.MTu4A.5
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Abdulkadir, Ahmed; Bathula, Deepti R.; Dvornek, Nicha C.; Govindarajan, Sindhuja T.; Habes, Mohamad; Kumar, Vinod; Leonardsen, Esten; Wolfers, Thomas; Xiao, Yiming, eds.,
2023.
Machine learning in clinical neuroimaging.
6th International Workshop on Machine Learning in Clinical Neuroimaging (MLCN), held in conjunction with MICCAI 2023, Vancouver, Canada, 8-12 October 2023.
Cham:
Springer.
Lecture Notes in Computer Science ; 14312.
ISBN 978-3-031-44857-7.
Available from: https://doi.org/10.1007/978-3-031-44858-4
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Lanfant, Briac; Lack, Silvan; Meyer, Benjamin; Abdulkadir, Ahmed; Stadelmann, Thilo; Schmid, Daniel,
2024.
3D-master-based method for optimizing the cost calculatin of PBF-LB/M manufactured parts.
In:
Metal Additive Manufacturing Conference (MAMC), Aachen, Germany, 17-19 September 2024.
Publications before appointment at the ZHAW
- Chaddad, A.; Lu, Q.; Li, J.; Katib, Y.; Kateb, R.; Tanougast, C.; Bouridane, A.; Abdulkadir, A. (2023) Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine. IEEE/CAA J. Autom. Sinica 10, 859–876.
- Yang, Z.; Nasrallah I.M.; Shou, H.; Wen, J.; Doshi, J.; Habes, M.; Erus, G.; Abdulkadir, A.; Resnick, S.M.; Albert, M.S.; Maruff, P.; Fripp, J.; Morris, J.C.; Wolk, D.A.; Davatzikos, C. (2021) A deep learning framework identifies dimensional representations of Alzheimer's Disease from brain structure. Nat Commun 12, 7065.
- Anastasopoulos, C., Yang, S., Pradella, M., Akinci D'Antonoli, T., Knecht, S., Cyriac, J., Reisert, M., Kellner, E.; Achermann, R.; Haaf, P.; Stieltjes, B.; Sauter, A.W.; Bremerich, J.; Sommer, G.; Abdulkadir, A. (2021) Atri-U: assisted image analysis in routine cardiovascular magnetic resonance volumetry of the left atrium. J Cardiovasc Magn Reson 23, 133.
- Rathore, S.; Abdulkadir, A.; Davatzikos, C. (2020) Analysis of MRI Data in Diagnostic Neuroradiology. Annu. Rev. Biomed. Data Sci. 3, 365–390.
- Çiçek, Ö; Abdulkadir, A; Lienkamp, SS; Brox, T; Ronneberger, O. 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation, International Conference on Medical Image Computing and Computer-Assisted Intervention (2016)
- Google Scholar Publication List