Ali Gholipour - RankMe

121 papers B 4Journal 81Unranked 36

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Detailed Delineation of the Fetal Brain in Diffusion MRI via Multi-Task Learning. IEEE Trans. Medical Imaging Davood Karimi, Camilo Calixto, Haykel Snoussi, Bo Li, Maria Camila Cortes-Albornoz, Clemente Velasco-Annis, Caitlin K. Rollins, Lana Pierotich, Camilo Jaimes, Ali Gholipour, Simon K. Warfield
2026	J	`jnl`	Harmonization in magnetic resonance imaging: A survey of acquisition, image-level, and feature-level methods. Medical Image Anal. Qinqin Yang, Firoozeh Shomal Zadeh, Ali Gholipour
2025	J	`jnl`	Harmonization in Magnetic Resonance Imaging: A Survey of Acquisition, Image-level, and Feature-level Methods. CoRR Qinqin Yang, Firoozeh Shomal Zadeh, Ali Gholipour
2025	J	`jnl`	Incorporating spatial information in deep learning parameter estimation with application to the intravoxel incoherent motion model in diffusion-weighted MRI. Medical Image Anal. Misha P. T. Kaandorp, Frank Zijlstra, Davood Karimi, Ali Gholipour, Peter T. While
2024	—	`conf`	Advanced Framework for Fetal Diffusion MRI: Dynamic Distortion and Motion Correction. PIPPI@MICCAI Haykel Snoussi, Davood Karimi, Onur Afacan, Mustafa Utkur, Ali Gholipour
2024	J	`jnl`	Anatomically Constrained Tractography of the Fetal Brain. CoRR Camilo Calixto, Camilo Jaimes, Matheus D. Soldatelli, Simon K. Warfield, Ali Gholipour, Davood Karimi
2024	J	`jnl`	Anatomically constrained tractography of the fetal brain. NeuroImage Camilo Calixto, Camilo Jaimes, Matheus D. Soldatelli, Simon K. Warfield, Ali Gholipour, Davood Karimi
2024	—	`conf`	Cross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains. ISBI Rizhong Lin, Ali Gholipour, Jean-Philippe Thiran, Davood Karimi, Hamza Kebiri, Meritxell Bach Cuadra
2024	J	`jnl`	Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study. Medical Image Anal. Hamza Kebiri, Ali Gholipour, Rizhong Lin, Lana Vasung, Camilo Calixto, Zeljka Krsnik, Davood Karimi, Meritxell Bach Cuadra
2024	J	`jnl`	Detailed delineation of the fetal brain in diffusion MRI via multi-task learning. CoRR Davood Karimi, Camilo Calixto, Haykel Snoussi, Maria Camila Cortes-Albornoz, Clemente Velasco-Annis, Caitlin K. Rollins, Camilo Jaimes, Ali Gholipour, Simon K. Warfield
2024	—	`conf`	Ground-Truth Effects in Learning-Based Fiber Orientation Distribution Estimation in Neonatal Brains. CDMRI@MICCAI Rizhong Lin, Hamza Kebiri, Ali Gholipour, Yufei Chen, Jean-Philippe Thiran, Davood Karimi, Meritxell Bach Cuadra
2024	J	`jnl`	Ground-truth effects in learning-based fiber orientation distribution estimation in neonatal brains. CoRR Rizhong Lin, Hamza Kebiri, Ali Gholipour, Yufei Chen, Jean-Philippe Thiran, Davood Karimi, Meritxell Bach Cuadra
2024	J	`jnl`	HAITCH: A Framework for Distortion and Motion Correction in Fetal Multi-Shell Diffusion-Weighted MRI. CoRR Haykel Snoussi, Davood Karimi, Onur Afacan, Mustafa Utkur, Ali Gholipour
2024	—	`conf`	Joint Motion Estimation with Geometric Deformation Correction for Fetal Echo Planar Images Via Deep Learning. MIDL Jian Wang, Razieh Faghihpirayesh, Deniz Erdogmus, Ali Gholipour
2024	—	`conf`	SpaER: Learning Spatio-temporal Equivariant Representations for Fetal Brain Motion Tracking. PIPPI@MICCAI Jian Wang, Razieh Faghihpirayesh, Polina Golland, Ali Gholipour
2024	J	`jnl`	SpaER: Learning Spatio-temporal Equivariant Representations for Fetal Brain Motion Tracking. CoRR Jian Wang, Razieh Faghihpirayesh, Polina Golland, Ali Gholipour
2024	J	`jnl`	UniMo: Universal Motion Correction For Medical Images without Network Retraining. CoRR Jian Wang, Razieh Faghihpirayesh, Danny Joca, Polina Golland, Ali Gholipour
2023	J	`jnl`	3D Brainformer: 3D Fusion Transformer for Brain Tumor Segmentation. CoRR Rui Nian, Guoyao Zhang, Yao Sui, Yuqi Qian, Qiuying Li, Mingzhang Zhao, Jianhui Li, Ali Gholipour, Simon K. Warfield
2023	—	`conf`	A Computational Framework for Characterizing Normative Development of Structural Brain Connectivity in the Perinatal Stage. ISBI Yihan Wu, Ali Gholipour, Lana Vasung, Davood Karimi
2023	B	`conf`	Automatic brain pose estimation in fetal MRI. Image Processing Razieh Faghihpirayesh, Davood Karimi, Deniz Erdogmus, Ali Gholipour
2023	J	`jnl`	Characterizing normal perinatal development of the human brain structural connectivity. CoRR Yihan Wu, Lana Vasung, Camilo Calixto, Ali Gholipour, Davood Karimi
2023	J	`jnl`	Cross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains. CoRR Rizhong Lin, Ali Gholipour, Jean-Philippe Thiran, Davood Karimi, Hamza Kebiri, Meritxell Bach Cuadra
2023	J	`jnl`	Direct segmentation of brain white matter tracts in diffusion MRI. CoRR Hamza Kebiri, Ali Gholipour, Meritxell Bach Cuadra, Davood Karimi
2023	J	`jnl`	Fetal brain tissue annotation and segmentation challenge results. Medical Image Anal. 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, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben-Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor-Fadida, Leo Joskowicz, Liao Weibin, Lv Yi, Xuesong Li, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, Kuanlun Liao, Yixuan Wu, Jintai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern H. Menze, Meritxell Bach Cuadra, András Jakab
2023	J	`jnl`	Fetal-BET: Brain Extraction Tool for Fetal MRI. CoRR Razieh Faghihpirayesh, Davood Karimi, Deniz Erdogmus, Ali Gholipour
2023	J	`jnl`	Improving Calibration and Out-of-Distribution Detection in Deep Models for Medical Image Segmentation. IEEE Trans. Artif. Intell. Davood Karimi, Ali Gholipour
2023	J	`jnl`	Learning to segment fetal brain tissue from noisy annotations. Medical Image Anal. Davood Karimi, Caitlin K. Rollins, Clemente Velasco-Annis, Abdelhakim Ouaalam, Ali Gholipour
2023	—	`conf`	Robust Estimation of the Microstructure of the Early Developing Brain Using Deep Learning. MICCAI (7) Hamza Kebiri, Ali Gholipour, Rizhong Lin, Lana Vasung, Davood Karimi, Meritxell Bach Cuadra
2023	J	`jnl`	TBSS++: A novel computational method for Tract-Based Spatial Statistics. CoRR Davood Karimi, Hamza Kebiri, Ali Gholipour
2022	—	`conf`	Atlas-Powered Deep Learning (ADL) - Application to Diffusion Weighted MRI. MICCAI (1) Davood Karimi, Ali Gholipour
2022	J	`jnl`	Atlas-powered deep learning (ADL) - application to diffusion weighted MRI. CoRR Davood Karimi, Ali Gholipour
2022	—	`conf`	Deep Learning Framework for Real-Time Fetal Brain Segmentation in MRI. PIPPI@MICCAI Razieh Faghihpirayesh, Davood Karimi, Deniz Erdogmus, Ali Gholipour
2022	J	`jnl`	Deep Learning Framework for Real-time Fetal Brain Segmentation in MRI. CoRR Razieh Faghihpirayesh, Davood Karimi, Deniz Erdogmus, Ali Gholipour
2022	J	`jnl`	Diffusion Tensor Estimation with Transformer Neural Networks. CoRR Davood Karimi, Ali Gholipour
2022	J	`jnl`	Diffusion tensor estimation with transformer neural networks. Artif. Intell. Medicine Davood Karimi, Ali Gholipour
2022	J	`jnl`	Fetal Brain Tissue Annotation and Segmentation Challenge Results. CoRR Kelly Payette, Hongwei Li, Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Hao Liu, Yuchen Pei, Lisheng Wang, Ying Peng, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben-Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor-Fadida, Leo Joskowicz, Weibin Liao, Lv Yi, Xuesong Li, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, Kuanlun Liao, Yixuan Wu, Jintai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern H. Menze, Meritxell Bach Cuadra, András Jakab
2022	J	`jnl`	Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI. NeuroImage Chiara Maffei, Gabriel Girard, Kurt G. Schilling, Dogu Baran Aydogan, Nagesh Adluru, Andrey Zhylka, Ye Wu, Matteo Mancini, Andac Hamamci, Alessia Sarica, Achille Teillac, Steven H. Baete, Davood Karimi, Fang-Cheng Yeh, Mert E. Yildiz, Ali Gholipour, Yann Bihan-Poudec, Bassem Hiba, Andrea Quattrone, Aldo Quattrone, Tommy Boshkovski, Nikola Stikov, Pew-Thian Yap, Alberto De Luca, Josien P. W. Pluim, Alexander Leemans, Vivek Prabhakaran, Barbara B. Bendlin, Andrew L. Alexander, Bennett A. Landman, Erick Jorge Canales-Rodríguez, Muhamed Barakovic, Jonathan Rafael-Patino, Thomas Yu, Gaëtan Rensonnet, Simona Schiavi, Alessandro Daducci, Marco Pizzolato, Elda Fischi Gomez, Jean-Philippe Thiran, George Dai, Giorgia Grisot, Nikola Lazovski, Santi Puch, Marc Ramos, Paulo Rodrigues, Vesna Prckovska, Robert Jones, Julia Lehman, Suzanne N. Haber, Anastasia Yendiki
2022	J	`jnl`	Learning to segment fetal brain tissue from noisy annotations. CoRR Davood Karimi, Caitlin K. Rollins, Clemente Velasco-Annis, Abdelhakim Ouaalam, Ali Gholipour
2022	J	`jnl`	Medical Image Segmentation Using Transformer Networks. IEEE Access Davood Karimi, Haoran Dou, Ali Gholipour
2022	J	`jnl`	Reducing the Effects of Motion Artifacts in fMRI: A Structured Matrix Completion Approach. IEEE Trans. Medical Imaging Arvind Balachandrasekaran, Alexander Li Cohen, Onur Afacan, Simon K. Warfield, Ali Gholipour
2022	J	`jnl`	Scan-Specific Generative Neural Network for MRI Super-Resolution Reconstruction. IEEE Trans. Medical Imaging Yao Sui, Onur Afacan, Camilo Jaimes, Ali Gholipour, Simon K. Warfield
2022	J	`jnl`	Subject-specific quantitative susceptibility mapping using patch based deep image priors. CoRR Arvind Balachandrasekaran, Davood Karimi, Camilo Jaimes, Ali Gholipour
2021	J	`jnl`	3D dense convolutional neural network for fast and accurate single MR image super-resolution. Comput. Medical Imaging Graph. Lulu Wang, Jinglong Du, Ali Gholipour, Huazheng Zhu, Zhongshi He, Yuanyuan Jia
2021	J	`jnl`	A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI. IEEE Trans. Medical Imaging Haoran Dou, Davood Karimi, Caitlin K. Rollins, Cynthia M. Ortinau, Lana Vasung, Clemente Velasco-Annis, Abdelhakim Ouaalam, Xin Yang, Dong Ni, Ali Gholipour
2021	J	`jnl`	A machine learning-based method for estimating the number and orientations of major fascicles in diffusion-weighted magnetic resonance imaging. Medical Image Anal. Davood Karimi, Lana Vasung, Camilo Jaimes, Fedel Machado-Rivas, Shadab Khan, Simon K. Warfield, Ali Gholipour
2021	—	`conf`	Accurate Parameter Estimation in Fetal Diffusion-Weighted MRI - Learning from Fetal and Newborn Data. MICCAI (7) Davood Karimi, Lana Vasung, Fedel Machado-Rivas, Camilo Jaimes, Shadab Khan, Ali Gholipour
2021	J	`jnl`	Calibrated Diffusion Tensor Estimation. CoRR Davood Karimi, Simon K. Warfield, Ali Gholipour
2021	—	`conf`	Convolution-Free Medical Image Segmentation Using Transformers. MICCAI (1) Davood Karimi, Serge Vasylechko, Ali Gholipour
2021	J	`jnl`	Convolution-Free Medical Image Segmentation using Transformers. CoRR Davood Karimi, Serge Vasylechko, Ali Gholipour
2021	J	`jnl`	Deep learning-based parameter estimation in fetal diffusion-weighted MRI. NeuroImage Davood Karimi, Camilo Jaimes, Fedel Machado-Rivas, Lana Vasung, Shadab Khan, Simon K. Warfield, Ali Gholipour
2021	J	`jnl`	Gradient-Guided Isotropic MRI Reconstruction From Anisotropic Acquisitions. IEEE Trans. Computational Imaging Yao Sui, Onur Afacan, Camilo Jaimes, Ali Gholipour, Simon K. Warfield
2021	J	`jnl`	Learning to estimate  the fiber orientation distribution function from diffusion-weighted MRI. NeuroImage Davood Karimi, Lana Vasung, Camilo Jaimes, Fedel Machado-Rivas, Simon K. Warfield, Ali Gholipour
2021	J	`jnl`	Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. IEEE Trans. Medical Imaging 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, Gabriel Bernardino Perez, Ricard Delgado-Gonzalo, Mohammad Mehdi Farhangi, Amir A. Amini, Renkun Ni, Xue Feng, Aditya Bagari, Kiran Vaidhya, Benjamin Veasey, Wiem Safta, Hichem Frigui, Joseph Enguehard, Ali Gholipour, Laura Silvana Castillo, Laura Alexandra Daza, Paul F. Pinsky, Jayashree Kalpathy-Cramer, Keyvan Farahani
2021	—	`conf`	MRI Super-Resolution Through Generative Degradation Learning. MICCAI (6) Yao Sui, Onur Afacan, Ali Gholipour, Simon K. Warfield
2021	J	`jnl`	Transfer learning in medical image segmentation: New insights from analysis of the dynamics of model parameters and learned representations. Artif. Intell. Medicine Davood Karimi, Simon K. Warfield, Ali Gholipour
2020	J	`jnl`	A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI. CoRR Haoran Dou, Davood Karimi, Caitlin K. Rollins, Cynthia M. Ortinau, Lana Vasung, Clemente Velasco-Annis, Abdelhakim Ouaalam, Xin Yang, Dong Ni, Ali Gholipour
2020	J	`jnl`	A machine learning-based method for estimating the number and orientations of major fascicles in diffusion-weighted magnetic resonance imaging. CoRR Davood Karimi, Lana Vasung, Camilo Jaimes, Fedel Machado-Rivas, Shadab Khan, Simon K. Warfield, Ali Gholipour
2020	J	`jnl`	Critical Assessment of Transfer Learning for Medical Image Segmentation with Fully Convolutional Neural Networks. CoRR Davood Karimi, Simon K. Warfield, Ali Gholipour
2020	J	`jnl`	Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging. IEEE Trans. Medical Imaging Ayush Singh, Seyed Sadegh Mohseni Salehi, Ali Gholipour
2020	J	`jnl`	Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis. Medical Image Anal. Davood Karimi, Haoran Dou, Simon K. Warfield, Ali Gholipour
2020	J	`jnl`	Improving Calibration and Out-of-Distribution Detection in Medical Image Segmentation with Convolutional Neural Networks. CoRR Davood Karimi, Ali Gholipour
2020	—	`conf`	Learning a Gradient Guidance for Spatially Isotropic MRI Super-Resolution Reconstruction. MICCAI (2) Yao Sui, Onur Afacan, Ali Gholipour, Simon K. Warfield
2020	—	`conf`	Learning to Detect Brain Lesions from Noisy Annotations. ISBI Davood Karimi, Jurriaan M. Peters, Abdelhakim Ouaalam, Sanjay P. Prabhu, Mustafa Sahin, Darcy A. Krueger, Alexander Kolevzon, Charis Eng, Simon K. Warfield, Ali Gholipour
2020	J	`jnl`	SLIMM: Slice localization integrated MRI monitoring. NeuroImage Yao Sui, Onur Afacan, Ali Gholipour, Simon K. Warfield
2020	J	`jnl`	Super-resolution reconstruction of single anisotropic 3D MR images using residual convolutional neural network. Neurocomputing Jinglong Du, Zhongshi He, Lulu Wang, Ali Gholipour, Zexun Zhou, Dingding Chen, Yuanyuan Jia
2019	J	`jnl`	Asymmetric Loss Functions and Deep Densely-Connected Networks for Highly-Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection. IEEE Access Seyed Raein Hashemi, Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Sanjay P. Prabhu, Simon K. Warfield, Ali Gholipour
2019	—	`conf`	Brain MRI Super-resolution Reconstruction using a Multi-level and Parallel Conv-Deconv Network. BIBM Lulu Wang, Jinglong Du, Ali Gholipour, Zhongshi He, Yuanyuan Jia
2019	J	`jnl`	Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging. CoRR Ayush Singh, Seyed Sadegh Mohseni Salehi, Ali Gholipour
2019	J	`jnl`	Deep learning with noisy labels: exploring techniques and remedies in medical image analysis. CoRR Davood Karimi, Haoran Dou, Simon K. Warfield, Ali Gholipour
2019	—	`conf`	Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets: Application to IsoIntense Infant Brain MRI Segmentation. MIDL Seyed Raein Hashemi, Sanjay P. Prabhu, Simon K. Warfield, Ali Gholipour
2019	J	`jnl`	Fetal brain growth portrayed by a spatiotemporal diffusion tensor MRI atlas computed from NeuroImage Shadab Khan, Lana Vasung, Bahram Marami, Caitlin K. Rollins, Onur Afacan, Cynthia M. Ortinau, Edward Yang, Simon K. Warfield, Ali Gholipour
2019	J	`jnl`	Intelligent Labeling Based on Fisher Information for Medical Image Segmentation Using Deep Learning. IEEE Trans. Medical Imaging Jamshid Sourati, Ali Gholipour, Jennifer G. Dy, Xavier Tomas-Fernandez, Sila Kurugol, Simon K. Warfield
2019	—	`conf`	Isotropic MRI Super-Resolution Reconstruction with Multi-scale Gradient Field Prior. MICCAI (3) Yao Sui, Onur Afacan, Ali Gholipour, Simon K. Warfield
2019	J	`jnl`	Real-Time Deep Pose Estimation With Geodesic Loss for Image-to-Template Rigid Registration. IEEE Trans. Medical Imaging Seyed Sadegh Mohseni Salehi, Shadab Khan, Deniz Erdogmus, Ali Gholipour
2019	J	`jnl`	Semi-Supervised Learning With Deep Embedded Clustering for Image Classification and Segmentation. IEEE Access Joseph Enguehard, Peter O'Halloran, Ali Gholipour
2018	—	`conf`	Accelerated Super-resolution MR Image Reconstruction via a 3D Densely Connected Deep Convolutional Neural Network. BIBM Jinglong Du, Lulu Wang, Ali Gholipour, Zhongshi He, Yuanyuan Jia
2018	—	`conf`	Active Deep Learning with Fisher Information for Patch-Wise Semantic Segmentation. DLMIA/ML-CDS@MICCAI Jamshid Sourati, Ali Gholipour, Jennifer G. Dy, Sila Kurugol, Simon K. Warfield
2018	J	`jnl`	Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets for IsoIntense Infant Brain MRI Segmentation. CoRR Seyed Raein Hashemi, Sanjay P. Prabhu, Simon K. Warfield, Ali Gholipour
2018	J	`jnl`	Real-time Deep Registration With Geodesic Loss. CoRR Seyed Sadegh Mohseni Salehi, Shadab Khan, Deniz Erdogmus, Ali Gholipour
2018	—	`conf`	Real-time automatic fetal brain extraction in fetal MRI by deep learning. ISBI Seyed Sadegh Mohseni Salehi, Seyed Raein Hashemi, Clemente Velasco-Annis, Abdelhakim Ouaalam, Judy A. Estroff, Deniz Erdogmus, Simon K. Warfield, Ali Gholipour
2018	—	`conf`	Tract-Specific Group Analysis in Fetal Cohorts Using in utero Diffusion Tensor Imaging. MICCAI (3) Shadab Khan, Caitlin K. Rollins, Cynthia M. Ortinau, Onur Afacan, Simon K. Warfield, Ali Gholipour
2018	J	`jnl`	Tversky as a Loss Function for Highly Unbalanced Image Segmentation using 3D Fully Convolutional Deep Networks. CoRR Seyed Raein Hashemi, Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Sanjay P. Prabhu, Simon K. Warfield, Ali Gholipour
2017	J	`jnl`	A New Sparse Representation Framework for Reconstruction of an Isotropic High Spatial Resolution MR Volume From Orthogonal Anisotropic Resolution Scans. IEEE Trans. Medical Imaging Yuanyuan Jia, Ali Gholipour, Zhongshi He, Simon K. Warfield
2017	J	`jnl`	Auto-Context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging. IEEE Trans. Medical Imaging Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour
2017	J	`jnl`	Auto-context Convolutional Neural Network for Geometry-Independent Brain Extraction in Magnetic Resonance Imaging. CoRR Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour
2017	J	`jnl`	Automated template-based brain localization and extraction for fetal brain MRI reconstruction. NeuroImage Sébastien Tourbier, Clemente Velasco-Annis, Vahid Taimouri, Patric Hagmann, Reto Meuli, Simon K. Warfield, Meritxell Bach Cuadra, Ali Gholipour
2017	—	`conf`	Motion-Robust Spatially Constrained Parameter Estimation in Renal Diffusion-Weighted MRI by 3D Motion Tracking and Correction of Sequential Slices. CMMI/RAMBO/SWITCH@MICCAI Sila Kurugol, Bahram Marami, Onur Afacan, Simon K. Warfield, Ali Gholipour
2017	J	`jnl`	Real-Time Automatic Fetal Brain Extraction in Fetal MRI by Deep Learning. CoRR Seyed Sadegh Mohseni Salehi, Seyed Raein Hashemi, Clemente Velasco-Annis, Abdelhakim Ouaalam, Judy A. Estroff, Deniz Erdogmus, Simon K. Warfield, Ali Gholipour
2017	J	`jnl`	Temporal slice registration and robust diffusion-tensor reconstruction for improved fetal brain structural connectivity analysis. NeuroImage Bahram Marami, Seyed Sadegh Mohseni Salehi, Onur Afacan, Benoit Scherrer, Caitlin K. Rollins, Edward Yang, Judy A. Estroff, Simon K. Warfield, Ali Gholipour
2017	—	`conf`	Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks. MLMI@MICCAI Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour
2017	J	`jnl`	Tversky loss function for image segmentation using 3D fully convolutional deep networks. CoRR Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour
2016	J	`jnl`	Motion-Robust Diffusion-Weighted Brain MRI Reconstruction Through Slice-Level Registration-Based Motion Tracking. IEEE Trans. Medical Imaging Bahram Marami, Benoit Scherrer, Onur Afacan, Burak Erem, Simon K. Warfield, Ali Gholipour
2016	—	`conf`	Motion-Robust Reconstruction Based on Simultaneous Multi-slice Registration for Diffusion-Weighted MRI of Moving Subjects. MICCAI (3) Bahram Marami, Benoit Scherrer, Onur Afacan, Simon K. Warfield, Ali Gholipour
2016	J	`jnl`	Single Anisotropic 3-D MR Image Upsampling via Overcomplete Dictionary Trained From In-Plane High Resolution Slices. IEEE J. Biomed. Health Informatics Yuanyuan Jia, Zhongshi He, Ali Gholipour, Simon K. Warfield
2015	—	`conf`	A template-to-slice block matching approach for automatic localization of brain in fetal MRI. ISBI Vahid Taimouri, Ali Gholipour, Clemente Velasco-Annis, Judy A. Estroff, Simon K. Warfield
2015	—	`conf`	Accelerated High Spatial Resolution Diffusion-Weighted Imaging. IPMI Benoit Scherrer, Onur Afacan, Maxime Taquet, Sanjay P. Prabhu, Ali Gholipour, Simon K. Warfield
2014	—	`conf`	Construction of a Deformable Spatiotemporal MRI Atlas of the Fetal Brain: Evaluation of Similarity Metrics and Deformation Models. MICCAI (2) Ali Gholipour, Catherine Limperopoulos, Sean Clancy, Cédric Clouchoux, Alireza Akhondi Asl, Judy A. Estroff, Simon K. Warfield
2012	J	`jnl`	Improved Labeling of Subcortical Brain Structures in Atlas-Based Segmentation of Magnetic Resonance Images. IEEE Trans. Biomed. Eng. Siamak Yousefi, Nasser Kehtarnavaz, Ali Gholipour
2012	J	`jnl`	Multi-atlas multi-shape segmentation of fetal brain MRI for volumetric and morphometric analysis of ventriculomegaly. NeuroImage Ali Gholipour, Alireza Akhondi Asl, Judy A. Estroff, Simon K. Warfield
2012	—	`conf`	Super-resolution reconstruction of diffusion-weighted images from distortion compensated orthogonal anisotropic acquisitions. MMBIA Benoit Scherrer, Ali Gholipour, Simon K. Warfield
2012	J	`jnl`	Super-resolution reconstruction to increase the spatial resolution of diffusion weighted images from orthogonal anisotropic acquisitions. Medical Image Anal. Benoit Scherrer, Ali Gholipour, Simon K. Warfield
2011	J	`jnl`	Fetal brain volumetry through MRI volumetric reconstruction and segmentation. Int. J. Comput. Assist. Radiol. Surg. Ali Gholipour, Judy A. Estroff, Carol E. Barnewolt, Susan A. Connolly, Simon K. Warfield
2011	—	`conf`	Motion-robust MRI through real-time motion tracking and retrospective super-resolution volume reconstruction. EMBC Ali Gholipour, Martin Polak, André J. W. van der Kouwe, Erez Nevo, Simon K. Warfield
2011	—	`conf`	On the accuracy of unwarping techniques for the correction of susceptibility-induced geometric distortion in magnetic resonance Echo-planar images. EMBC Ali Gholipour, Nasser Kehtarnavaz, Benoit Scherrer, Simon K. Warfield
2011	—	`conf`	Super-Resolution in Diffusion-Weighted Imaging. MICCAI (2) Benoit Scherrer, Ali Gholipour, Simon K. Warfield
2011	—	`conf`	Synthesis of cervical tissue second harmonic generation images using Markov random field modeling. EMBC Siamak Yousefi, Nasser Kehtarnavaz, Ali Gholipour
2010	—	`conf`	Maximum A Posteriori Estimation of Isotropic High-Resolution Volumetric MRI from Orthogonal Thick-Slice Scans. MICCAI (2) Ali Gholipour, Judy A. Estroff, Mustafa Sahin, Sanjay P. Prabhu, Simon K. Warfield
2010	J	`jnl`	Robust Super-Resolution Volume Reconstruction From Slice Acquisitions: Application to Fetal Brain MRI. IEEE Trans. Medical Imaging Ali Gholipour, Judy A. Estroff, Simon K. Warfield
2010	J	`jnl`	Symmetric deformable image registration via optimization of information theoretic measures. Image Vis. Comput. Ali Gholipour, Nasser Kehtarnavaz, Siamak Yousefi, Kaundinya S. Gopinath, Richard W. Briggs
2008	B	`conf`	Computationally efficient mutual information estimation for non-rigid image registration. ICIP Ali Gholipour, Nasser Kehtarnavaz
2008	J	`jnl`	Cross-Validation of Deformable Registration With Field Maps in Functional Magnetic Resonance Brain Imaging. IEEE J. Sel. Top. Signal Process. Ali Gholipour, Nasser Kehtarnavaz, Kaundinya S. Gopinath, Richard W. Briggs
2008	J	`jnl`	Validation of Non-Rigid Registration Between Functional and Anatomical Magnetic Resonance Brain Images. IEEE Trans. Biomed. Eng. Ali Gholipour, Nasser Kehtarnavaz, Richard W. Briggs, Kaundinya S. Gopinath, Wendy Ringe, Anthony Whittemore, Sergey Cheshkov, Khamid Bakhadirov
2007	B	`conf`	A field map guided approach to non-rigid registration of brain EPI to structural MRI. Image Processing Ali Gholipour, Nasser Kehtarnavaz, Richard W. Briggs, Kaundinya S. Gopinath
2007	J	`jnl`	Brain Functional Localization: A Survey of Image Registration Techniques. IEEE Trans. Medical Imaging Ali Gholipour, Nasser Kehtarnavaz, Richard W. Briggs, Michael Devous, Kaundinya S. Gopinath
2007	J	`jnl`	Extracting the main patterns of natural time series for long-term neurofuzzy prediction. Neural Comput. Appl. Ali Gholipour, Caro Lucas, Babak Nadjar Araabi, Masoud Mirmomeni, Masoud Shafiee
2007	—	`conf`	Kullback-Leibler Distance Optimization for Non-rigid Registration of Echo-Planar to Structural Magnetic Resonance Brain Images. ICIP (6) Ali Gholipour, Nasser Kehtarnavaz, Richard W. Briggs, Kaundinya S. Gopinath
2006	B	`conf`	Distortion Correction via Non-rigid Registration of Functional to Anatomical Magnetic Resonance Brain Images. ICIP Ali Gholipour, Nasser Kehtarnavaz, Kaundinya S. Gopinath, Richard W. Briggs, Michael Devous, Robert W. Haley
2006	J	`jnl`	Predicting Chaotic Time Series Using Neural and Neurofuzzy Models: A Comparative Study. Neural Process. Lett. Ali Gholipour, Babak Nadjar Araabi, Caro Lucas
2003	—	`conf`	Dynamic tracking control of nonholonomic mobile robot with model reference adaptation for uncertain parameters. ECC Ali Gholipour, Mohammad Javad Yazdanpanah
2003	—	`conf`	Enhancements in the Prediction of Solar Activity by Locally Linear Model Tree. Modelling, Identification and Control Ali Gholipour, Ali Abbaspour, Babak Nadjar Araabi, Caro Lucas
2003	J	`jnl`	Enhancing the Performance of Neurofuzzy Predictors by Emotional Learning Algorith. Informatica (Slovenia) Caro Lucas, Ali Abbaspour, Ali Gholipour, Babak Nadjar Araabi, Mehrdad Fatourechi