Effects of hardware heterogeneity on the performance of SVM Alzheimer's disease classifier. - Ahmed Abdulkadir; Bénédicte Mortamet; Prashanthi Vemuri; Clifford R. Jack Jr.; Gunnar Krueger; Stefan Klöppel (NeuroImage, 2011)

A comparison of different automated methods for the detection of white matter lesions in MRI data. - Stefan Klöppel; Ahmed Abdulkadir; Stathis Hadjidemetriou; Sabine Issleib; Lars Frings; Thao Nguyen Thanh; Irina Mader; Stefan J. Teipel; Michael Hüll; Olaf Ronneberger (NeuroImage, 2011)

Diagnostic neuroimaging across diseases. - Stefan Klöppel; Ahmed Abdulkadir; Clifford R. Jack Jr.; Nikolaos Koutsouleris; Janaina Mourão Miranda; Prashanthi Vemuri (NeuroImage, 2012)

Interregional compensatory mechanisms of motor functioning in progressing preclinical neurodegeneration. - Elisa Scheller; Ahmed Abdulkadir; Jessica Peter; Sarah J. Tabrizi; Richard S. J. Frackowiak; Stefan Klöppel (NeuroImage, 2013)

Reduction of confounding effects with voxel-wise Gaussian process regression in structural MRI. - Ahmed Abdulkadir; Olaf Ronneberger; Sarah J. Tabrizi; Stefan Klöppel (PRNI, 2014)

Correction of inter-scanner and within-subject variance in structural MRI based automated diagnosing. - Daniel Kostro; Ahmed Abdulkadir; Alexandra Durr; Raymund Roos; Blair R. Leavitt; Hans J. Johnson; David M. Cash; Sarah J. Tabrizi; Rachael I. Scahill; Olaf Ronneberger; Stefan Klöppel (NeuroImage, 2014)

Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge. - Esther E. Bron; Marion Smits; Wiesje M. van der Flier; Hugo Vrenken; Frederik Barkhof; Philip Scheltens; Janne M. Papma; Rebecca M. E. Steketee; Carolina Méndez Orellana; Rozanna Meijboom; Madalena Pinto; Joana R. Meireles; et al. (NeuroImage, 2015)

3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation. - Özgün Çiçek; Ahmed Abdulkadir; Soeren S. Lienkamp; Thomas Brox; Olaf Ronneberger (MICCAI (2), 2016)

A Weather-Assisted Driver Experiences Based Path Selection Method. - Liang Zhao 004; Ahmed Abdulkadir; Xiaochun Tang; Na Lin 001; Cuiwei Liu; Jiajia Li 003 (HPCC/SmartCity/DSS, 2018)

Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI. - Francesco La Rosa; Erin S. Beck; Ahmed Abdulkadir; Jean-Philippe Thiran; Daniel S. Reich; Pascal Sati; Meritxell Bach Cuadra (MICCAI (4), 2020)

DEEPMIR: A DEEP convolutional neural network for differential detection of cerebral Microbleeds and IRon deposits in MRI. - Tanweer Rashid; Ahmed Abdulkadir; Ilya M. Nasrallah; Jeffrey B. Ware; Pascal Spincemaille; J. Rafael Romero; R. Nick Bryan; Susan R. Heckbert; Mohamad Habes (CoRR, 2020)

Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging. - Vishnu M. Bashyam; Jimit Doshi; Güray Erus; Dhivya Srinivasan; Ahmed Abdulkadir; Mohamad Habes; Yong Fan 001; Colin L. Masters; Paul Maruff; Chuanjun Zhuo; Henry Völzke; Sterling C. Johnson; et al. (CoRR, 2020)

Disentangling brain heterogeneity via semi-supervised deep-learning and MRI: dimensional representations of Alzheimer's Disease. - Zhijian Yang; Ilya M. Nasrallah; Haochang Shou; Junhao Wen 002; Jimit Doshi; Mohamad Habes; Güray Erus; Ahmed Abdulkadir; Susan M. Resnick; David A. Wolk; Christos Davatzikos (CoRR, 2021)

Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning. - Gyujoon Hwang; Ahmed Abdulkadir; Güray Erus; Mohamad Habes; Raymond Pomponio; Haochang Shou; Jimit Doshi; Elizabeth Mamourian; Tanweer Rashid; Murat Bilgel; Yong Fan 001; Aristeidis Sotiras; et al. (CoRR, 2021)

Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics. - Junhao Wen 002; Cynthia H. Y. Fu; Duygu Tosun; Yogasudha Veturi; Zhijian Yang; Ahmed Abdulkadir; Elizabeth Mamourian; Dhivya Srinivasan; Jingxuan Bao; Güray Erus; Haochang Shou; Mohamad Habes; et al. (CoRR, 2021)

Harmonization of multi-site functional connectivity measures in tangent space improves brain age prediction. - Zhen Zhou; Dhivya Srinivasan; Hongming Li; Ahmed Abdulkadir; Haochang Shou; Christos Davatzikos; Yong Fan 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes. - Junhao Wen 002; Erdem Varol; Aristeidis Sotiras; Zhijian Yang; Ganesh B. Chand; Güray Erus; Haochang Shou; Ahmed Abdulkadir; Gyujoon Hwang; Dominic B. Dwyer; Alessandro Pigoni; Paola Dazzan; et al. (Medical Image Anal., 2022)

Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering. - Zhijian Yang; Junhao Wen 002; Ahmed Abdulkadir; Yuhan Cui; Güray Erus; Elizabeth Mamourian; Randa Melhem; Dhivya Srinivasan; Sindhuja T. Govindarajan; Jiong Chen; Mohamad Habes; Colin L. Masters; et al. (CoRR, 2023)

A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions. - Peng Yan 006; Ahmed Abdulkadir; Matthias Rosenthal; Gerrit A. Schatte; Benjamin F. Grewe; Thilo Stadelmann (CoRR, 2023)

Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine. - Ahmad Chaddad; Qizong Lu; Jiali Li; Yousef Katib; Reem Kateb; Camel Tanougast; Ahmed Bouridane; Ahmed Abdulkadir (IEEE CAA J. Autom. Sinica, 2023)

Applications of generative adversarial networks in neuroimaging and clinical neuroscience. - Rongguang Wang; Vishnu Bashyam; Zhijian Yang; Fanyang Yu; Vasiliki Tassopoulou; Sai Spandana Chintapalli; Ioanna Skampardoni; Lasya P. Sreepada; Dushyant Sahoo; Konstantina S. Nikita; Ahmed Abdulkadir; Junhao Wen 002; et al. (NeuroImage, 2023)

Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study. - Zhen Zhou; Hongming Li; Dhivya Srinivasan; Ahmed Abdulkadir; Ilya M. Nasrallah; Junhao Wen 002; Jimit Doshi; Güray Erus; Elizabeth Mamourian; R. Nick Bryan; David A. Wolk; Lori L. Beason-Held; et al. (NeuroImage, 2023)

Imaging phenotypes predict overall survival in glioma more accurate than basic demographic and cell mutation profiles. - Saima Rathore; Muhammad Aksam Iftikhar; Ahmad Chaddad; Ashish Singh; Zeeshan Gillani; Ahmed Abdulkadir (Comput. Methods Programs Biomed., 2023)

Automated process monitoring in injection molding via representation learning and setpoint regression. - Peng Yan 006; Ahmed Abdulkadir; Giulia Aguzzi; Gerrit A. Schatte; Benjamin F. Grewe; Thilo Stadelmann (SDS, 2024)

A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions. - Peng Yan 006; Ahmed Abdulkadir; Paul-Philipp Luley; Matthias Rosenthal; Gerrit A. Schatte; Benjamin F. Grewe; Thilo Stadelmann (IEEE Access, 2024)

Learning Actionable World Models for Industrial Process Control. - Peng Yan 006; Ahmed Abdulkadir; Gerrit A. Schatte; Giulia Aguzzi; Joonsu Gha; Nikola Pascher; Matthias Rosenthal; Yunlong Gao 001; Benjamin F. Grewe; Thilo Stadelmann (SDS, 2025)

Hounsfield Unit Ranges as Inductive Bias for Intra-Clinical Learning of Data-Efficient CT Segmentation Models. - Benjamin Meyer; Pascal Sager; Ahmed Abdulkadir; Benjamin F. Grewe; Philipp Schuetz; Thilo Stadelmann; Felice Burn (SDS, 2025)

AI Agents for Computer Use: A Review of Instruction-based Computer Control, GUI Automation, and Operator Assistants. - Pascal Sager; Benjamin Meyer; Peng Yan 006; Rebekka von Wartburg-Kottler; Layan Etaiwi; Aref Enayati; Gabriel Nobel; Ahmed Abdulkadir; Benjamin F. Grewe; Thilo Stadelmann (CoRR, 2025)

A document is worth a structured record: Principled inductive bias design for document recognition. - Benjamin Meyer; Lukas Tuggener; Sascha Hänzi; Daniel Schmid; Erdal Ayfer; Benjamin F. Grewe; Ahmed Abdulkadir; Thilo Stadelmann (CoRR, 2025)