Mohammad Arfan Ikram
Orcid: 0000-0003-0372-8585
According to our database1,
Mohammad Arfan Ikram
authored at least 51 papers
between 2006 and 2024.
Collaborative distances:
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Bibliography
2024
<i>Where is VALDO?</i> VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021.
Medical Image Anal., January, 2024
2022
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021.
CoRR, 2022
2021
Progression along data-driven disease timelines is predictive of Alzheimer's disease in a population-based cohort.
NeuroImage, 2021
Longitudinal diffusion MRI analysis using Segis-Net: A single-step deep-learning framework for simultaneous segmentation and registration.
NeuroImage, 2021
Differences Between MR Brain Region Segmentation Methods: Impact on Single-Subject Analysis.
Frontiers Big Data, 2021
Learning unbiased group-wise registration (LUGR) and joint segmentation: evaluation on longitudinal diffusion MRI.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
2020
Orientation Prior and Consistent Model Selection Increase Sensitivity of Tract-Based Spatial Statistics in Crossing-Fiber Regions.
IEEE Trans. Medical Imaging, 2020
Spatially Regularized Shape Analysis of the Hippocampus Using P-Spline Based Shape Regression.
IEEE J. Biomed. Health Informatics, 2020
Neuro4Neuro: A neural network approach for neural tract segmentation using large-scale population-based diffusion imaging.
NeuroImage, 2020
NeuroImage, 2020
Medical Image Anal., 2020
Learning unbiased registration and joint segmentation: evaluation on longitudinal diffusion MRI.
CoRR, 2020
2019
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Independent Multiple Factor Association Analysis for Multiblock Data in Imaging Genetics.
Neuroinformatics, 2019
NeuroImage, 2019
NeuroImage, 2019
3D regression neural network for the quantification of enlarged perivascular spaces in brain MRI.
Medical Image Anal., 2019
CoRR, 2019
Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
A Hybrid Deep Learning Framework for Integrated Segmentation and Registration: Evaluation on Longitudinal White Matter Tract Changes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Disconnection due to white matter hyperintensities is associated with lower cognitive scores.
NeuroImage, 2018
Subregional volumes of the hippocampus in relation to cognitive function and risk of dementia.
NeuroImage, 2018
Reproducible White Matter Tract Segmentation Using 3D U-Net on a Large-scale DTI Dataset.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
2017
Automatic identification of variables in epidemiological datasets using logic regression.
BMC Medical Informatics Decis. Mak., 2017
CoRR, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
The structural disconnectome: A pathology-sensitive extension of the structural connectome.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Heritability of connectivity and disconnectivity of the brain in a population-based study.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
IEEE Trans. Medical Imaging, 2015
Weighting training images by maximizing distribution similarity for supervised segmentation across scanners.
Medical Image Anal., 2015
2013
Improving alignment in Tract-based spatial statistics: Evaluation and optimization of image registration.
NeuroImage, 2013
Local appearance features for robust MRI brain structure segmentation across scanning protocols.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
A Transfer-Learning Approach to Image Segmentation Across Scanners by Maximizing Distribution Similarity.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
2012
Supervised Image Segmentation across Scanner Protocols: A Transfer Learning Approach.
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
2011
NeuroImage, 2011
Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 2011
2010
Accuracy and reproducibility study of automatic MRI brain tissue segmentation methods.
NeuroImage, 2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
2009
NeuroImage, 2009
2008
White matter atrophy and lesion formation explain the loss of structural integrity of white matter in aging.
NeuroImage, 2008
2007
Multi-spectral brain tissue segmentation using automatically trained k-Nearest-Neighbor classification.
NeuroImage, 2007
Proceedings of the Medical Imaging 2007: Image Processing, 2007
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
2006
kNN-based multi-spectral MRI brain tissue classification: manual training versus automated atlas-based training.
Proceedings of the Medical Imaging 2006: Image Processing, 2006