Dynamic tracking control of nonholonomic mobile robot with model reference adaptation for uncertain parameters. - Ali Gholipour; Mohammad Javad Yazdanpanah (ECC, 2003)

Enhancements in the Prediction of Solar Activity by Locally Linear Model Tree. - Ali Gholipour; Ali Abbaspour; Babak Nadjar Araabi; Caro Lucas (Modelling, Identification and Control, 2003)

Enhancing the Performance of Neurofuzzy Predictors by Emotional Learning Algorith. - Caro Lucas; Ali Abbaspour; Ali Gholipour; Babak Nadjar Araabi; Mehrdad Fatourechi (Informatica (Slovenia), 2003)

Distortion Correction via Non-rigid Registration of Functional to Anatomical Magnetic Resonance Brain Images. - Ali Gholipour; Nasser Kehtarnavaz; Kaundinya S. Gopinath; Richard W. Briggs; Michael Devous; Robert W. Haley (ICIP, 2006)

Predicting Chaotic Time Series Using Neural and Neurofuzzy Models: A Comparative Study. - Ali Gholipour; Babak Nadjar Araabi; Caro Lucas (Neural Process. Lett., 2006)

Kullback-Leibler Distance Optimization for Non-rigid Registration of Echo-Planar to Structural Magnetic Resonance Brain Images. - Ali Gholipour; Nasser Kehtarnavaz; Richard W. Briggs; Kaundinya S. Gopinath (ICIP (6), 2007)

A field map guided approach to non-rigid registration of brain EPI to structural MRI. - Ali Gholipour; Nasser Kehtarnavaz; Richard W. Briggs; Kaundinya S. Gopinath (Image Processing, 2007)

Extracting the main patterns of natural time series for long-term neurofuzzy prediction. - Ali Gholipour; Caro Lucas; Babak Nadjar Araabi; Masoud Mirmomeni; Masoud Shafiee (Neural Comput. Appl., 2007)

Brain Functional Localization: A Survey of Image Registration Techniques. - Ali Gholipour; Nasser Kehtarnavaz; Richard W. Briggs; Michael Devous; Kaundinya S. Gopinath (IEEE Trans. Medical Imaging, 2007)

Computationally efficient mutual information estimation for non-rigid image registration. - Ali Gholipour; Nasser Kehtarnavaz (ICIP, 2008)

Cross-Validation of Deformable Registration With Field Maps in Functional Magnetic Resonance Brain Imaging. - Ali Gholipour; Nasser Kehtarnavaz; Kaundinya S. Gopinath; Richard W. Briggs (IEEE J. Sel. Top. Signal Process., 2008)

Validation of Non-Rigid Registration Between Functional and Anatomical Magnetic Resonance Brain Images. - Ali Gholipour; Nasser Kehtarnavaz; Richard W. Briggs; Kaundinya S. Gopinath; Wendy Ringe; Anthony Whittemore; Sergey Cheshkov; Khamid Bakhadirov (IEEE Trans. Biomed. Eng., 2008)

Maximum A Posteriori Estimation of Isotropic High-Resolution Volumetric MRI from Orthogonal Thick-Slice Scans. - Ali Gholipour; Judy A. Estroff; Mustafa Sahin; Sanjay P. Prabhu; Simon K. Warfield (MICCAI (2), 2010)

Symmetric deformable image registration via optimization of information theoretic measures. - Ali Gholipour; Nasser Kehtarnavaz; Siamak Yousefi; Kaundinya S. Gopinath; Richard W. Briggs (Image Vis. Comput., 2010)

Robust Super-Resolution Volume Reconstruction From Slice Acquisitions: Application to Fetal Brain MRI. - Ali Gholipour; Judy A. Estroff; Simon K. Warfield (IEEE Trans. Medical Imaging, 2010)

On the accuracy of unwarping techniques for the correction of susceptibility-induced geometric distortion in magnetic resonance Echo-planar images. - Ali Gholipour; Nasser Kehtarnavaz; Benoit Scherrer; Simon K. Warfield (EMBC, 2011)

Motion-robust MRI through real-time motion tracking and retrospective super-resolution volume reconstruction. - Ali Gholipour; Martin Polak; André J. W. van der Kouwe; Erez Nevo; Simon K. Warfield (EMBC, 2011)

Synthesis of cervical tissue second harmonic generation images using Markov random field modeling. - Siamak Yousefi; Nasser Kehtarnavaz; Ali Gholipour (EMBC, 2011)

Super-Resolution in Diffusion-Weighted Imaging. - Benoit Scherrer; Ali Gholipour; Simon K. Warfield (MICCAI (2), 2011)

Fetal brain volumetry through MRI volumetric reconstruction and segmentation. - Ali Gholipour; Judy A. Estroff; Carol E. Barnewolt; Susan A. Connolly; Simon K. Warfield (Int. J. Comput. Assist. Radiol. Surg., 2011)

Super-resolution reconstruction of diffusion-weighted images from distortion compensated orthogonal anisotropic acquisitions. - Benoit Scherrer; Ali Gholipour; Simon K. Warfield (MMBIA, 2012)

Super-resolution reconstruction to increase the spatial resolution of diffusion weighted images from orthogonal anisotropic acquisitions. - Benoit Scherrer; Ali Gholipour; Simon K. Warfield (Medical Image Anal., 2012)

Multi-atlas multi-shape segmentation of fetal brain MRI for volumetric and morphometric analysis of ventriculomegaly. - Ali Gholipour; Alireza Akhondi Asl; Judy A. Estroff; Simon K. Warfield (NeuroImage, 2012)

Improved Labeling of Subcortical Brain Structures in Atlas-Based Segmentation of Magnetic Resonance Images. - Siamak Yousefi; Nasser Kehtarnavaz; Ali Gholipour (IEEE Trans. Biomed. Eng., 2012)

Construction of a Deformable Spatiotemporal MRI Atlas of the Fetal Brain: Evaluation of Similarity Metrics and Deformation Models. - Ali Gholipour; Catherine Limperopoulos; Sean Clancy; Cédric Clouchoux; Alireza Akhondi Asl; Judy A. Estroff; Simon K. Warfield (MICCAI (2), 2014)

Accelerated High Spatial Resolution Diffusion-Weighted Imaging. - Benoit Scherrer; Onur Afacan; Maxime Taquet; Sanjay P. Prabhu; Ali Gholipour; Simon K. Warfield (IPMI, 2015)

A template-to-slice block matching approach for automatic localization of brain in fetal MRI. - Vahid Taimouri; Ali Gholipour; Clemente Velasco-Annis; Judy A. Estroff; Simon K. Warfield (ISBI, 2015)

Motion-Robust Reconstruction Based on Simultaneous Multi-slice Registration for Diffusion-Weighted MRI of Moving Subjects. - Bahram Marami; Benoit Scherrer; Onur Afacan; Simon K. Warfield; Ali Gholipour (MICCAI (3), 2016)

Single Anisotropic 3-D MR Image Upsampling via Overcomplete Dictionary Trained From In-Plane High Resolution Slices. - Yuanyuan Jia; Zhongshi He; Ali Gholipour; Simon K. Warfield (IEEE J. Biomed. Health Informatics, 2016)

Motion-Robust Diffusion-Weighted Brain MRI Reconstruction Through Slice-Level Registration-Based Motion Tracking. - Bahram Marami; Benoit Scherrer; Onur Afacan; Burak Erem; Simon K. Warfield; Ali Gholipour (IEEE Trans. Medical Imaging, 2016)

Motion-Robust Spatially Constrained Parameter Estimation in Renal Diffusion-Weighted MRI by 3D Motion Tracking and Correction of Sequential Slices. - Sila Kurugol; Bahram Marami; Onur Afacan; Simon K. Warfield; Ali Gholipour (CMMI/RAMBO/SWITCH@MICCAI, 2017)

Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks. - Seyed Sadegh Mohseni Salehi; Deniz Erdogmus; Ali Gholipour (MLMI@MICCAI, 2017)

Auto-context Convolutional Neural Network for Geometry-Independent Brain Extraction in Magnetic Resonance Imaging. - Seyed Sadegh Mohseni Salehi; Deniz Erdogmus; Ali Gholipour (CoRR, 2017)

Temporal slice registration and robust diffusion-tensor reconstruction for improved fetal brain structural connectivity analysis. - Bahram Marami; Seyed Sadegh Mohseni Salehi; Onur Afacan; Benoit Scherrer; Caitlin K. Rollins; Edward Yang; Judy A. Estroff; Simon K. Warfield; Ali Gholipour (NeuroImage, 2017)

Automated template-based brain localization and extraction for fetal brain MRI reconstruction. - Sébastien Tourbier; Clemente Velasco-Annis; Vahid Taimouri; Patric Hagmann; Reto Meuli; Simon K. Warfield; Meritxell Bach Cuadra; Ali Gholipour (NeuroImage, 2017)

A New Sparse Representation Framework for Reconstruction of an Isotropic High Spatial Resolution MR Volume From Orthogonal Anisotropic Resolution Scans. - Yuanyuan Jia; Ali Gholipour; Zhongshi He; Simon K. Warfield (IEEE Trans. Medical Imaging, 2017)

Auto-Context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging. - Seyed Sadegh Mohseni Salehi; Deniz Erdogmus; Ali Gholipour (IEEE Trans. Medical Imaging, 2017)

Accelerated Super-resolution MR Image Reconstruction via a 3D Densely Connected Deep Convolutional Neural Network. - Jinglong Du; Lulu Wang 013; Ali Gholipour; Zhongshi He; Yuanyuan Jia (BIBM, 2018)

Real-time automatic fetal brain extraction in fetal MRI by deep learning. - Seyed Sadegh Mohseni Salehi; Seyed Raein Hashemi; Clemente Velasco-Annis; Abdelhakim Ouaalam; Judy A. Estroff; Deniz Erdogmus; Simon K. Warfield; Ali Gholipour (ISBI, 2018)

Tract-Specific Group Analysis in Fetal Cohorts Using in utero Diffusion Tensor Imaging. - Shadab Khan; Caitlin K. Rollins; Cynthia M. Ortinau; Onur Afacan; Simon K. Warfield; Ali Gholipour (MICCAI (3), 2018)

Active Deep Learning with Fisher Information for Patch-Wise Semantic Segmentation. - Jamshid Sourati; Ali Gholipour; Jennifer G. Dy; Sila Kurugol; Simon K. Warfield (DLMIA/ML-CDS@MICCAI, 2018)

Real-time Deep Registration With Geodesic Loss. - Seyed Sadegh Mohseni Salehi; Shadab Khan; Deniz Erdogmus; Ali Gholipour (CoRR, 2018)

Tversky as a Loss Function for Highly Unbalanced Image Segmentation using 3D Fully Convolutional Deep Networks. - Seyed Raein Hashemi; Seyed Sadegh Mohseni Salehi; Deniz Erdogmus; Sanjay P. Prabhu; Simon K. Warfield; Ali Gholipour (CoRR, 2018)

Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets for IsoIntense Infant Brain MRI Segmentation. - Seyed Raein Hashemi; Sanjay P. Prabhu; Simon K. Warfield; Ali Gholipour (CoRR, 2018)

Brain MRI Super-resolution Reconstruction using a Multi-level and Parallel Conv-Deconv Network. - Lulu Wang 013; Jinglong Du; Ali Gholipour; Zhongshi He; Yuanyuan Jia (BIBM, 2019)

Isotropic MRI Super-Resolution Reconstruction with Multi-scale Gradient Field Prior. - Yao Sui; Onur Afacan; Ali Gholipour; Simon K. Warfield (MICCAI (3), 2019)

Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets: Application to IsoIntense Infant Brain MRI Segmentation. - Seyed Raein Hashemi; Sanjay P. Prabhu; Simon K. Warfield; Ali Gholipour (MIDL, 2019)

Semi-Supervised Learning With Deep Embedded Clustering for Image Classification and Segmentation. - Joseph Enguehard; Peter O'Halloran; Ali Gholipour (IEEE Access, 2019)

Asymmetric Loss Functions and Deep Densely-Connected Networks for Highly-Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection. - Seyed Raein Hashemi; Seyed Sadegh Mohseni Salehi; Deniz Erdogmus; Sanjay P. Prabhu; Simon K. Warfield; Ali Gholipour (IEEE Access, 2019)

Fetal brain growth portrayed by a spatiotemporal diffusion tensor MRI atlas computed from in utero images. - Shadab Khan; Lana Vasung; Bahram Marami; Caitlin K. Rollins; Onur Afacan; Cynthia M. Ortinau; Edward Yang; Simon K. Warfield; Ali Gholipour (NeuroImage, 2019)

Real-Time Deep Pose Estimation With Geodesic Loss for Image-to-Template Rigid Registration. - Seyed Sadegh Mohseni Salehi; Shadab Khan; Deniz Erdogmus; Ali Gholipour (IEEE Trans. Medical Imaging, 2019)

Intelligent Labeling Based on Fisher Information for Medical Image Segmentation Using Deep Learning. - Jamshid Sourati; Ali Gholipour; Jennifer G. Dy; Xavier Tomas-Fernandez; Sila Kurugol; Simon K. Warfield (IEEE Trans. Medical Imaging, 2019)

Learning to Detect Brain Lesions from Noisy Annotations. - Davood Karimi; Jurriaan M. Peters; Abdelhakim Ouaalam; Sanjay P. Prabhu; Mustafa Sahin; Darcy A. Krueger; Alexander Kolevzon; Charis Eng; Simon K. Warfield; Ali Gholipour (ISBI, 2020)

Learning a Gradient Guidance for Spatially Isotropic MRI Super-Resolution Reconstruction. - Yao Sui; Onur Afacan; Ali Gholipour; Simon K. Warfield (MICCAI (2), 2020)

Improving Calibration and Out-of-Distribution Detection in Medical Image Segmentation with Convolutional Neural Networks. - Davood Karimi; Ali Gholipour (CoRR, 2020)

Critical Assessment of Transfer Learning for Medical Image Segmentation with Fully Convolutional Neural Networks. - Davood Karimi; Simon K. Warfield; Ali Gholipour (CoRR, 2020)

Super-resolution reconstruction of single anisotropic 3D MR images using residual convolutional neural network. - Jinglong Du; Zhongshi He; Lulu Wang 013; Ali Gholipour; Zexun Zhou; Dingding Chen; Yuanyuan Jia (Neurocomputing, 2020)

Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis. - Davood Karimi; Haoran Dou; Simon K. Warfield; Ali Gholipour (Medical Image Anal., 2020)

SLIMM: Slice localization integrated MRI monitoring. - Yao Sui; Onur Afacan; Ali Gholipour; Simon K. Warfield (NeuroImage, 2020)

Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging. - Ayush Singh; Seyed Sadegh Mohseni Salehi; Ali Gholipour (IEEE Trans. Medical Imaging, 2020)

Convolution-Free Medical Image Segmentation Using Transformers. - Davood Karimi; Serge Vasylechko; Ali Gholipour (MICCAI (1), 2021)

Accurate Parameter Estimation in Fetal Diffusion-Weighted MRI - Learning from Fetal and Newborn Data. - Davood Karimi; Lana Vasung; Fedel Machado-Rivas; Camilo Jaimes; Shadab Khan; Ali Gholipour (MICCAI (7), 2021)

MRI Super-Resolution Through Generative Degradation Learning. - Yao Sui; Onur Afacan; Ali Gholipour; Simon K. Warfield (MICCAI (6), 2021)

Transfer learning in medical image segmentation: New insights from analysis of the dynamics of model parameters and learned representations. - Davood Karimi; Simon K. Warfield; Ali Gholipour (Artif. Intell. Medicine, 2021)

3D dense convolutional neural network for fast and accurate single MR image super-resolution. - Lulu Wang 013; Jinglong Du; Ali Gholipour; Huazheng Zhu; Zhongshi He; Yuanyuan Jia (Comput. Medical Imaging Graph., 2021)

Calibrated Diffusion Tensor Estimation. - Davood Karimi; Simon K. Warfield; Ali Gholipour (CoRR, 2021)

A machine learning-based method for estimating the number and orientations of major fascicles in diffusion-weighted magnetic resonance imaging. - Davood Karimi; Lana Vasung; Camilo Jaimes; Fedel Machado-Rivas; Shadab Khan; Simon K. Warfield; Ali Gholipour (Medical Image Anal., 2021)

Deep learning-based parameter estimation in fetal diffusion-weighted MRI. - Davood Karimi; Camilo Jaimes; Fedel Machado-Rivas; Lana Vasung; Shadab Khan; Simon K. Warfield; Ali Gholipour (NeuroImage, 2021)

Learning to estimate the fiber orientation distribution function from diffusion-weighted MRI. - Davood Karimi; Lana Vasung; Camilo Jaimes; Fedel Machado-Rivas; Simon K. Warfield; Ali Gholipour (NeuroImage, 2021)

Gradient-Guided Isotropic MRI Reconstruction From Anisotropic Acquisitions. - Yao Sui; Onur Afacan; Camilo Jaimes; Ali Gholipour; Simon K. Warfield (IEEE Trans. Computational Imaging, 2021)

Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. - Yoganand Balagurunathan; Andrew Beers; Michael F. McNitt-Gray; Lubomir M. Hadjiiski; Sandy Napel; Dmitry B. Goldgof; Gustavo Pérez; Pablo Arbeláez; Alireza Mehrtash; Tina Kapur; Ehwa Yang; Jung Won Moon; et al. (IEEE Trans. Medical Imaging, 2021)

A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI. - Haoran Dou; Davood Karimi; Caitlin K. Rollins; Cynthia M. Ortinau; Lana Vasung; Clemente Velasco-Annis; Abdelhakim Ouaalam; Xin Yang 009; Dong Ni 001; Ali Gholipour (IEEE Trans. Medical Imaging, 2021)

Deep Learning Framework for Real-Time Fetal Brain Segmentation in MRI. - Razieh Faghihpirayesh; Davood Karimi; Deniz Erdogmus; Ali Gholipour (PIPPI@MICCAI, 2022)

Atlas-Powered Deep Learning (ADL) - Application to Diffusion Weighted MRI. - Davood Karimi; Ali Gholipour (MICCAI (1), 2022)

Medical Image Segmentation Using Transformer Networks. - Davood Karimi; Haoran Dou; Ali Gholipour (IEEE Access, 2022)

Diffusion tensor estimation with transformer neural networks. - Davood Karimi; Ali Gholipour (Artif. Intell. Medicine, 2022)

Fetal Brain Tissue Annotation and Segmentation Challenge Results. - Kelly Payette; Hongwei Li 004; Priscille de Dumast; Roxane Licandro; Hui Ji; Md Mahfuzur Rahman Siddiquee; Daguang Xu; Andriy Myronenko; Hao Liu; Yuchen Pei; Lisheng Wang; Ying Peng; et al. (CoRR, 2022)

Subject-specific quantitative susceptibility mapping using patch based deep image priors. - Arvind Balachandrasekaran; Davood Karimi; Camilo Jaimes; Ali Gholipour (CoRR, 2022)

Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI. - Chiara Maffei; Gabriel Girard; Kurt G. Schilling; Dogu Baran Aydogan; Nagesh Adluru; Andrey Zhylka; Ye Wu 001; Matteo Mancini; Andac Hamamci; Alessia Sarica; Achille Teillac; Steven H. Baete; et al. (NeuroImage, 2022)

Reducing the Effects of Motion Artifacts in fMRI: A Structured Matrix Completion Approach. - Arvind Balachandrasekaran; Alexander Li Cohen; Onur Afacan; Simon K. Warfield; Ali Gholipour (IEEE Trans. Medical Imaging, 2022)

Scan-Specific Generative Neural Network for MRI Super-Resolution Reconstruction. - Yao Sui; Onur Afacan; Camilo Jaimes; Ali Gholipour; Simon K. Warfield (IEEE Trans. Medical Imaging, 2022)

A Computational Framework for Characterizing Normative Development of Structural Brain Connectivity in the Perinatal Stage. - Yihan Wu; Ali Gholipour; Lana Vasung; Davood Karimi (ISBI, 2023)

Robust Estimation of the Microstructure of the Early Developing Brain Using Deep Learning. - Hamza Kebiri; Ali Gholipour; Rizhong Lin; Lana Vasung; Davood Karimi; Meritxell Bach Cuadra (MICCAI (7), 2023)

Automatic brain pose estimation in fetal MRI. - Razieh Faghihpirayesh; Davood Karimi; Deniz Erdogmus; Ali Gholipour (Image Processing, 2023)

3D Brainformer: 3D Fusion Transformer for Brain Tumor Segmentation. - Rui Nian; Guoyao Zhang; Yao Sui; Yuqi Qian; Qiuying Li; Mingzhang Zhao; Jianhui Li; Ali Gholipour; Simon K. Warfield (CoRR, 2023)

Direct segmentation of brain white matter tracts in diffusion MRI. - Hamza Kebiri; Ali Gholipour; Meritxell Bach Cuadra; Davood Karimi (CoRR, 2023)

TBSS++: A novel computational method for Tract-Based Spatial Statistics. - Davood Karimi; Hamza Kebiri; Ali Gholipour (CoRR, 2023)

Characterizing normal perinatal development of the human brain structural connectivity. - Yihan Wu; Lana Vasung; Camilo Calixto; Ali Gholipour; Davood Karimi (CoRR, 2023)

Fetal-BET: Brain Extraction Tool for Fetal MRI. - Razieh Faghihpirayesh; Davood Karimi; Deniz Erdogmus; Ali Gholipour (CoRR, 2023)

Learning to segment fetal brain tissue from noisy annotations. - Davood Karimi; Caitlin K. Rollins; Clemente Velasco-Annis; Abdelhakim Ouaalam; Ali Gholipour (Medical Image Anal., 2023)

Improving Calibration and Out-of-Distribution Detection in Deep Models for Medical Image Segmentation. - Davood Karimi; Ali Gholipour (IEEE Trans. Artif. Intell., 2023)

Fetal brain tissue annotation and segmentation challenge results. - Kelly Payette; Hongwei Bran Li; Priscille de Dumast; Roxane Licandro; Hui Ji; Md Mahfuzur Rahman Siddiquee; Daguang Xu; Andriy Myronenko; Hao Liu; Yuchen Pei; Lisheng Wang; Ying Peng; et al. (Medical Image Anal., 2023)

Cross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains. - Rizhong Lin; Ali Gholipour; Jean-Philippe Thiran; Davood Karimi; Hamza Kebiri; Meritxell Bach Cuadra (ISBI, 2024)

Ground-Truth Effects in Learning-Based Fiber Orientation Distribution Estimation in Neonatal Brains. - Rizhong Lin; Hamza Kebiri; Ali Gholipour; Yufei Chen 002; Jean-Philippe Thiran; Davood Karimi; Meritxell Bach Cuadra (CDMRI@MICCAI, 2024)

Advanced Framework for Fetal Diffusion MRI: Dynamic Distortion and Motion Correction. - Haykel Snoussi; Davood Karimi; Onur Afacan; Mustafa Utkur; Ali Gholipour (PIPPI@MICCAI, 2024)

SpaER: Learning Spatio-temporal Equivariant Representations for Fetal Brain Motion Tracking. - Jian Wang 075; Razieh Faghihpirayesh; Polina Golland; Ali Gholipour (PIPPI@MICCAI, 2024)

Joint Motion Estimation with Geometric Deformation Correction for Fetal Echo Planar Images Via Deep Learning. - Jian Wang 075; Razieh Faghihpirayesh; Deniz Erdogmus; Ali Gholipour (MIDL, 2024)

HAITCH: A Framework for Distortion and Motion Correction in Fetal Multi-Shell Diffusion-Weighted MRI. - Haykel Snoussi; Davood Karimi; Onur Afacan; Mustafa Utkur; Ali Gholipour (CoRR, 2024)

Detailed delineation of the fetal brain in diffusion MRI via multi-task learning. - Davood Karimi; Camilo Calixto; Haykel Snoussi; Maria Camila Cortes-Albornoz; Clemente Velasco-Annis; Caitlin K. Rollins; Camilo Jaimes; Ali Gholipour; Simon K. Warfield (CoRR, 2024)

UniMo: Universal Motion Correction For Medical Images without Network Retraining. - Jian Wang 075; Razieh Faghihpirayesh; Danny Joca; Polina Golland; Ali Gholipour (CoRR, 2024)

Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study. - Hamza Kebiri; Ali Gholipour; Rizhong Lin; Lana Vasung; Camilo Calixto; Zeljka Krsnik; Davood Karimi; Meritxell Bach Cuadra (Medical Image Anal., 2024)

Anatomically constrained tractography of the fetal brain. - Camilo Calixto; Camilo Jaimes; Matheus D. Soldatelli; Simon K. Warfield; Ali Gholipour; Davood Karimi (NeuroImage, 2024)

Incorporating spatial information in deep learning parameter estimation with application to the intravoxel incoherent motion model in diffusion-weighted MRI. - Misha P. T. Kaandorp; Frank Zijlstra; Davood Karimi; Ali Gholipour; Peter T. While (Medical Image Anal., 2025)

Harmonization in Magnetic Resonance Imaging: A Survey of Acquisition, Image-level, and Feature-level Methods. - Qinqin Yang; Firoozeh Shomal Zadeh; Ali Gholipour (CoRR, 2025)