Ali Gholipour
Orcid: 0000-0001-7699-4564
According to our database1,
Ali Gholipour
authored at least 94 papers
between 2003 and 2024.
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Bibliography
2024
2023
Medical Image Anal., August, 2023
Improving Calibration and Out-of-Distribution Detection in Deep Models for Medical Image Segmentation.
IEEE Trans. Artif. Intell., April, 2023
Medical Image Anal., April, 2023
Cross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains.
CoRR, 2023
Characterizing normal perinatal development of the human brain structural connectivity.
CoRR, 2023
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Robust Estimation of the Microstructure of the Early Developing Brain Using Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
A Computational Framework for Characterizing Normative Development of Structural Brain Connectivity in the Perinatal Stage.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
IEEE Trans. Medical Imaging, 2022
Reducing the Effects of Motion Artifacts in fMRI: A Structured Matrix Completion Approach.
IEEE Trans. Medical Imaging, 2022
Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI.
NeuroImage, 2022
Subject-specific quantitative susceptibility mapping using patch based deep image priors.
CoRR, 2022
Artif. Intell. Medicine, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2022
2021
A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI.
IEEE Trans. Medical Imaging, 2021
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge.
IEEE Trans. Medical Imaging, 2021
IEEE Trans. Computational Imaging, 2021
Learning to estimate the fiber orientation distribution function from diffusion-weighted MRI.
NeuroImage, 2021
NeuroImage, 2021
A machine learning-based method for estimating the number and orientations of major fascicles in diffusion-weighted magnetic resonance imaging.
Medical Image Anal., 2021
3D dense convolutional neural network for fast and accurate single MR image super-resolution.
Comput. Medical Imaging Graph., 2021
Transfer learning in medical image segmentation: New insights from analysis of the dynamics of model parameters and learned representations.
Artif. Intell. Medicine, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Accurate Parameter Estimation in Fetal Diffusion-Weighted MRI - Learning from Fetal and Newborn Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging.
IEEE Trans. Medical Imaging, 2020
Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis.
Medical Image Anal., 2020
Super-resolution reconstruction of single anisotropic 3D MR images using residual convolutional neural network.
Neurocomputing, 2020
Critical Assessment of Transfer Learning for Medical Image Segmentation with Fully Convolutional Neural Networks.
CoRR, 2020
Improving Calibration and Out-of-Distribution Detection in Medical Image Segmentation with Convolutional Neural Networks.
CoRR, 2020
Learning a Gradient Guidance for Spatially Isotropic MRI Super-Resolution Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Intelligent Labeling Based on Fisher Information for Medical Image Segmentation Using Deep Learning.
IEEE Trans. Medical Imaging, 2019
Real-Time Deep Pose Estimation With Geodesic Loss for Image-to-Template Rigid Registration.
IEEE Trans. Medical Imaging, 2019
Fetal brain growth portrayed by a spatiotemporal diffusion tensor MRI atlas computed from <i>in utero</i> images.
NeuroImage, 2019
Asymmetric Loss Functions and Deep Densely-Connected Networks for Highly-Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection.
IEEE Access, 2019
Semi-Supervised Learning With Deep Embedded Clustering for Image Classification and Segmentation.
IEEE Access, 2019
Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets: Application to IsoIntense Infant Brain MRI Segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Brain MRI Super-resolution Reconstruction using a Multi-level and Parallel Conv-Deconv Network.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets for IsoIntense Infant Brain MRI Segmentation.
CoRR, 2018
Tversky as a Loss Function for Highly Unbalanced Image Segmentation using 3D Fully Convolutional Deep Networks.
CoRR, 2018
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
Tract-Specific Group Analysis in Fetal Cohorts Using in utero Diffusion Tensor Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Accelerated Super-resolution MR Image Reconstruction via a 3D Densely Connected Deep Convolutional Neural Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
Auto-Context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging.
IEEE Trans. Medical Imaging, 2017
A New Sparse Representation Framework for Reconstruction of an Isotropic High Spatial Resolution MR Volume From Orthogonal Anisotropic Resolution Scans.
IEEE Trans. Medical Imaging, 2017
Automated template-based brain localization and extraction for fetal brain MRI reconstruction.
NeuroImage, 2017
Temporal slice registration and robust diffusion-tensor reconstruction for improved fetal brain structural connectivity analysis.
NeuroImage, 2017
Auto-context Convolutional Neural Network for Geometry-Independent Brain Extraction in Magnetic Resonance Imaging.
CoRR, 2017
Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Motion-Robust Spatially Constrained Parameter Estimation in Renal Diffusion-Weighted MRI by 3D Motion Tracking and Correction of Sequential Slices.
Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017
2016
Motion-Robust Diffusion-Weighted Brain MRI Reconstruction Through Slice-Level Registration-Based Motion Tracking.
IEEE Trans. Medical Imaging, 2016
Single Anisotropic 3-D MR Image Upsampling via Overcomplete Dictionary Trained From In-Plane High Resolution Slices.
IEEE J. Biomed. Health Informatics, 2016
Motion-Robust Reconstruction Based on Simultaneous Multi-slice Registration for Diffusion-Weighted MRI of Moving Subjects.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
A template-to-slice block matching approach for automatic localization of brain in fetal MRI.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the Information Processing in Medical Imaging, 2015
2014
Construction of a Deformable Spatiotemporal MRI Atlas of the Fetal Brain: Evaluation of Similarity Metrics and Deformation Models.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
2012
Improved Labeling of Subcortical Brain Structures in Atlas-Based Segmentation of Magnetic Resonance Images.
IEEE Trans. Biomed. Eng., 2012
Multi-atlas multi-shape segmentation of fetal brain MRI for volumetric and morphometric analysis of ventriculomegaly.
NeuroImage, 2012
Super-resolution reconstruction to increase the spatial resolution of diffusion weighted images from orthogonal anisotropic acquisitions.
Medical Image Anal., 2012
Super-resolution reconstruction of diffusion-weighted images from distortion compensated orthogonal anisotropic acquisitions.
Proceedings of the 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, 2012
2011
Int. J. Comput. Assist. Radiol. Surg., 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Synthesis of cervical tissue second harmonic generation images using Markov random field modeling.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Motion-robust MRI through real-time motion tracking and retrospective super-resolution volume reconstruction.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
On the accuracy of unwarping techniques for the correction of susceptibility-induced geometric distortion in magnetic resonance Echo-planar images.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
Robust Super-Resolution Volume Reconstruction From Slice Acquisitions: Application to Fetal Brain MRI.
IEEE Trans. Medical Imaging, 2010
Symmetric deformable image registration via optimization of information theoretic measures.
Image Vis. Comput., 2010
Maximum A Posteriori Estimation of Isotropic High-Resolution Volumetric MRI from Orthogonal Thick-Slice Scans.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
2008
Validation of Non-Rigid Registration Between Functional and Anatomical Magnetic Resonance Brain Images.
IEEE Trans. Biomed. Eng., 2008
Cross-Validation of Deformable Registration With Field Maps in Functional Magnetic Resonance Brain Imaging.
IEEE J. Sel. Top. Signal Process., 2008
Computationally efficient mutual information estimation for non-rigid image registration.
Proceedings of the International Conference on Image Processing, 2008
2007
IEEE Trans. Medical Imaging, 2007
Extracting the main patterns of natural time series for long-term neurofuzzy prediction.
Neural Comput. Appl., 2007
A field map guided approach to non-rigid registration of brain EPI to structural MRI.
Proceedings of the Medical Imaging 2007: Image Processing, 2007
Kullback-Leibler Distance Optimization for Non-rigid Registration of Echo-Planar to Structural Magnetic Resonance Brain Images.
Proceedings of the International Conference on Image Processing, 2007
2006
Predicting Chaotic Time Series Using Neural and Neurofuzzy Models: A Comparative Study.
Neural Process. Lett., 2006
Distortion Correction via Non-rigid Registration of Functional to Anatomical Magnetic Resonance Brain Images.
Proceedings of the International Conference on Image Processing, 2006
2003
Enhancing the Performance of Neurofuzzy Predictors by Emotional Learning Algorith.
Informatica (Slovenia), 2003
Enhancements in the Prediction of Solar Activity by Locally Linear Model Tree.
Proceedings of the 22nd IASTED International Conference on Modelling, 2003
Dynamic tracking control of nonholonomic mobile robot with model reference adaptation for uncertain parameters.
Proceedings of the 7th European Control Conference, 2003