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Ahmed Abdulkadir
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2020 – today
- 2024
- [j12]Peng Yan
, Ahmed Abdulkadir, Paul-Philipp Luley
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions. IEEE Access 12: 3768-3789 (2024) - [c6]Peng Yan, Ahmed Abdulkadir, Giulia Aguzzi, Gerrit A. Schatte, Benjamin F. Grewe, Thilo Stadelmann:
Automated process monitoring in injection molding via representation learning and setpoint regression. SDS 2024: 138-145 - 2023
- [j11]Saima Rathore, Muhammad Aksam Iftikhar, Ahmad Chaddad, Ashish Singh
Imaging phenotypes predict overall survival in glioma more accurate than basic demographic and cell mutation profiles. Comput. Methods Programs Biomed. 242: 107812 (2023) - [j10]Ahmad Chaddad
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine. IEEE CAA J. Autom. Sinica 10(4): 859-876 (2023) - [j9]Rongguang Wang
Applications of generative adversarial networks in neuroimaging and clinical neuroscience. NeuroImage 269: 119898 (2023) - [j8]Zhen Zhou
Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study. NeuroImage 269: 119911 (2023) - [e4]Ahmed Abdulkadir
Machine Learning in Clinical Neuroimaging - 6th International Workshop, MLCN 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14312, Springer 2023, ISBN 978-3-031-44857-7 [contents] - [i11]Zhijian Yang, Junhao Wen, Ahmed Abdulkadir, Yuhan Cui, Güray Erus, Elizabeth Mamourian, Randa Melhem, Dhivya Srinivasan, Sindhuja T. Govindarajan, Jiong Chen, Mohamad Habes, Colin L. Masters, Paul Maruff, Jurgen Fripp, Luigi Ferrucci, Marilyn S. Albert, Sterling C. Johnson, John C. Morris, Pamela LaMontagne, Daniel S. Marcus, Tammie L. S. Benzinger, David A. Wolk, Li Shen, Jingxuan Bao, Susan M. Resnick, Haochang Shou, Ilya M. Nasrallah, Christos Davatzikos:
Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering. CoRR abs/2301.10772 (2023) - [i10]Peng Yan, Ahmed Abdulkadir, Matthias Rosenthal, Gerrit A. Schatte
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions. CoRR abs/2307.05638 (2023) - 2022
- [j7]Junhao Wen
Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes. Medical Image Anal. 75: 102304 (2022) - [c5]Zhen Zhou, Dhivya Srinivasan, Hongming Li, Ahmed Abdulkadir, Haochang Shou, Christos Davatzikos, Yong Fan:
Harmonization of multi-site functional connectivity measures in tangent space improves brain age prediction. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [e3]Ahmed Abdulkadir
Machine Learning in Clinical Neuroimaging - 5th International Workshop, MLCN 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Lecture Notes in Computer Science 13596, Springer 2022, ISBN 978-3-031-17898-6 [contents] - [i9]Rongguang Wang, Vishnu Bashyam, Zhijian Yang, Fanyang Yu, Vasiliki Tassopoulou, Lasya P. Sreepada, Sai Spandana Chintapalli, Dushyant Sahoo, Ioanna Skampardoni, Konstantina S. Nikita, Ahmed Abdulkadir, Junhao Wen, Christos Davatzikos:
Applications of Generative Adversarial Networks in Neuroimaging and Clinical Neuroscience. CoRR abs/2206.07081 (2022) - [i8]Ahmad Chaddad
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine. CoRR abs/2211.09317 (2022) - 2021
- [e2]Ahmed Abdulkadir
Machine Learning in Clinical Neuroimaging - 4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Lecture Notes in Computer Science 13001, Springer 2021, ISBN 978-3-030-87585-5 [contents] - [i7]Zhijian Yang, Ilya M. Nasrallah, Haochang Shou, Junhao Wen, Jimit Doshi, Mohamad Habes, Güray Erus, Ahmed Abdulkadir, Susan M. Resnick, David A. Wolk, Christos Davatzikos:
Disentangling brain heterogeneity via semi-supervised deep-learning and MRI: dimensional representations of Alzheimer's Disease. CoRR abs/2102.12582 (2021) - [i6]Gyujoon Hwang, Ahmed Abdulkadir, Güray Erus, Mohamad Habes, Raymond Pomponio, Haochang Shou, Jimit Doshi, Elizabeth Mamourian, Tanweer Rashid, Murat Bilgel, Yong Fan, Aristeidis Sotiras, Dhivya Srinivasan, John C. Morris, Daniel S. Marcus, Marilyn S. Albert, R. Nick Bryan, Susan M. Resnick, Ilya M. Nasrallah, Christos Davatzikos, David A. Wolk:
Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning. CoRR abs/2109.03723 (2021) - [i5]Junhao Wen, Cynthia H. Y. Fu, Duygu Tosun, Yogasudha Veturi, Zhijian Yang, Ahmed Abdulkadir, Elizabeth Mamourian, Dhivya Srinivasan, Jingxuan Bao, Güray Erus, Haochang Shou, Mohamad Habes, Jimit Doshi, Erdem Varol, Scott R. Mackin, Aristeidis Sotiras, Yong Fan, Andrew J. Saykin, Yvette I. Sheline, Li Shen, Marylyn D. Ritchie, David A. Wolk, Marilyn S. Albert, Susan M. Resnick, Christos Davatzikos:
Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics. CoRR abs/2110.11347 (2021) - 2020
- [c4]Francesco La Rosa
Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI. MICCAI (4) 2020: 584-593 - [e1]Seyed Mostafa Kia
Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology - Third International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings. Lecture Notes in Computer Science 12449, Springer 2020, ISBN 978-3-030-66842-6 [contents] - [i4]Francesco La Rosa, Erin S. Beck, Ahmed Abdulkadir, Jean-Philippe Thiran, Daniel S. Reich, Pascal Sati
Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI. CoRR abs/2008.06780 (2020) - [i3]Tanweer Rashid, Ahmed Abdulkadir, Ilya M. Nasrallah, Jeffrey B. Ware, Pascal Spincemaille, J. Rafael Romero, R. Nick Bryan, Susan R. Heckbert, Mohamad Habes:
DEEPMIR: A DEEP convolutional neural network for differential detection of cerebral Microbleeds and IRon deposits in MRI. CoRR abs/2010.00148 (2020) - [i2]Vishnu M. Bashyam, Jimit Doshi, Güray Erus, Dhivya Srinivasan, Ahmed Abdulkadir, Mohamad Habes, Yong Fan, Colin L. Masters, Paul Maruff, Chuanjun Zhuo, Henry Völzke, Sterling C. Johnson, Jurgen Fripp, Nikolaos Koutsouleris, Theodore D. Satterthwaite, Daniel H. Wolf, Raquel E. Gur, Ruben C. Gur, John C. Morris, Marilyn S. Albert, Hans Jörgen Grabe, Susan M. Resnick, R. Nick Bryan, David A. Wolk, Haochang Shou, Ilya M. Nasrallah, Christos Davatzikos:
Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging. CoRR abs/2010.05355 (2020)
2010 – 2019
- 2018
- [c3]Liang Zhao
A Weather-Assisted Driver Experiences Based Path Selection Method. HPCC/SmartCity/DSS 2018: 341-345 - 2016
- [c2]Özgün Çiçek, Ahmed Abdulkadir
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation. MICCAI (2) 2016: 424-432 - [i1]Özgün Çiçek, Ahmed Abdulkadir, Soeren S. Lienkamp, Thomas Brox, Olaf Ronneberger:
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation. CoRR abs/1606.06650 (2016) - 2015
- [j6]Esther E. Bron
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge. NeuroImage 111: 562-579 (2015) - 2014
- [j5]Daniel Kostro, Ahmed Abdulkadir
Correction of inter-scanner and within-subject variance in structural MRI based automated diagnosing. NeuroImage 98: 405-415 (2014) - [c1]Ahmed Abdulkadir
Reduction of confounding effects with voxel-wise Gaussian process regression in structural MRI. PRNI 2014: 1-4 - 2013
- [j4]Elisa Scheller, Ahmed Abdulkadir
Interregional compensatory mechanisms of motor functioning in progressing preclinical neurodegeneration. NeuroImage 75: 146-154 (2013) - 2012
- [j3]Stefan Klöppel
Diagnostic neuroimaging across diseases. NeuroImage 61(2): 457-463 (2012) - 2011
- [j2]Stefan Klöppel
A comparison of different automated methods for the detection of white matter lesions in MRI data. NeuroImage 57(2): 416-422 (2011) - [j1]Ahmed Abdulkadir
Effects of hardware heterogeneity on the performance of SVM Alzheimer's disease classifier. NeuroImage 58(3): 785-792 (2011)
Coauthor Index
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last updated on 2024-10-18 19:29 CEST by the dblp team
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