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2020 – today
- 2024
[j45]Hamza Kebiri
, Ali Gholipour, Rizhong Lin, Lana Vasung, Camilo Calixto, Zeljka Krsnik, Davood Karimi, Meritxell Bach Cuadra:
Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study. Medical Image Anal. 95: 103186 (2024)- [j44]Camilo Calixto, Camilo Jaimes, Matheus D. Soldatelli, Simon K. Warfield, Ali Gholipour, Davood Karimi:
Anatomically constrained tractography of the fetal brain. NeuroImage 297: 120723 (2024) - [c38]Rizhong Lin, Ali Gholipour, Jean-Philippe Thiran, Davood Karimi, Hamza Kebiri, Meritxell Bach Cuadra:
Cross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains. ISBI 2024: 1-5 - [c37]Jian Wang, Razieh Faghihpirayesh, Polina Golland, Ali Gholipour:
SpaER: Learning Spatio-temporal Equivariant Representations for Fetal Brain Motion Tracking. PIPPI@MICCAI 2024: 3-13 - [c36]Haykel Snoussi, Davood Karimi, Onur Afacan, Mustafa Utkur, Ali Gholipour:
Advanced Framework for Fetal Diffusion MRI: Dynamic Distortion and Motion Correction. PIPPI@MICCAI 2024: 35-45 - [i32]Camilo Calixto, Camilo Jaimes, Matheus D. Soldatelli, Simon K. Warfield, Ali Gholipour, Davood Karimi:
Anatomically Constrained Tractography of the Fetal Brain. CoRR abs/2403.02444 (2024) - [i31]Haykel Snoussi, Davood Karimi, Onur Afacan, Mustafa Utkur, Ali Gholipour:
HAITCH: A Framework for Distortion and Motion Correction in Fetal Multi-Shell Diffusion-Weighted MRI. CoRR abs/2406.20042 (2024) - [i30]Jian Wang, Razieh Faghihpirayesh, Polina Golland, Ali Gholipour:
SpaER: Learning Spatio-temporal Equivariant Representations for Fetal Brain Motion Tracking. CoRR abs/2407.20198 (2024) - [i29]Rizhong Lin, Hamza Kebiri, Ali Gholipour, Yufei Chen, Jean-Philippe Thiran, Davood Karimi, Meritxell Bach Cuadra:
Ground-truth effects in learning-based fiber orientation distribution estimation in neonatal brains. CoRR abs/2409.01195 (2024) - [i28]Davood Karimi, Camilo Calixto, Haykel Snoussi, Maria Camila Cortes-Albornoz, Clemente Velasco-Annis, Caitlin K. Rollins, Camilo Jaimes, Ali Gholipour, Simon K. Warfield:
Detailed delineation of the fetal brain in diffusion MRI via multi-task learning. CoRR abs/2409.06716 (2024) - [i27]Jian Wang, Razieh Faghihpirayesh, Danny Joca, Polina Golland, Ali Gholipour:
UniMo: Universal Motion Correction For Medical Images without Network Retraining. CoRR abs/2409.14204 (2024) - 2023
- [j43]Davood Karimi, Caitlin K. Rollins, Clemente Velasco-Annis, Abdelhakim Ouaalam, Ali Gholipour:
Learning to segment fetal brain tissue from noisy annotations. Medical Image Anal. 85: 102731 (2023) - [j42]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:
Fetal brain tissue annotation and segmentation challenge results. Medical Image Anal. 88: 102833 (2023) - [j41]Davood Karimi, Ali Gholipour:
Improving Calibration and Out-of-Distribution Detection in Deep Models for Medical Image Segmentation. IEEE Trans. Artif. Intell. 4(2): 383-397 (2023) - [c35]Yihan Wu, Ali Gholipour, Lana Vasung, Davood Karimi:
A Computational Framework for Characterizing Normative Development of Structural Brain Connectivity in the Perinatal Stage. ISBI 2023: 1-5 - [c34]Hamza Kebiri, Ali Gholipour, Rizhong Lin, Lana Vasung, Davood Karimi, Meritxell Bach Cuadra:
Robust Estimation of the Microstructure of the Early Developing Brain Using Deep Learning. MICCAI (7) 2023: 293-303 - [c33]Razieh Faghihpirayesh, Davood Karimi, Deniz Erdogmus, Ali Gholipour:
Automatic brain pose estimation in fetal MRI. Image Processing 2023 - [i26]Rui Nian, Guoyao Zhang, Yao Sui, Yuqi Qian, Qiuying Li, Mingzhang Zhao, Jianhui Li, Ali Gholipour, Simon K. Warfield:
3D Brainformer: 3D Fusion Transformer for Brain Tumor Segmentation. CoRR abs/2304.14508 (2023) - [i25]Hamza Kebiri, Ali Gholipour, Meritxell Bach Cuadra, Davood Karimi:
Direct segmentation of brain white matter tracts in diffusion MRI. CoRR abs/2307.02223 (2023) - [i24]Davood Karimi, Hamza Kebiri, Ali Gholipour:
TBSS++: A novel computational method for Tract-Based Spatial Statistics. CoRR abs/2307.05387 (2023) - [i23]Yihan Wu, Lana Vasung, Camilo Calixto, Ali Gholipour, Davood Karimi:
Characterizing normal perinatal development of the human brain structural connectivity. CoRR abs/2308.11836 (2023) - [i22]Razieh Faghihpirayesh, Davood Karimi, Deniz Erdogmus, Ali Gholipour:
Fetal-BET: Brain Extraction Tool for Fetal MRI. CoRR abs/2310.01523 (2023) - [i21]Rizhong Lin, Ali Gholipour, Jean-Philippe Thiran, Davood Karimi, Hamza Kebiri, Meritxell Bach Cuadra:
Cross-Age and Cross-Site Domain Shift Impacts on Deep Learning-Based White Matter Fiber Estimation in Newborn and Baby Brains. CoRR abs/2312.14773 (2023) - 2022
- [j40]Davood Karimi, Haoran Dou, Ali Gholipour:
Medical Image Segmentation Using Transformer Networks. IEEE Access 10: 29322-29332 (2022) - [j39]Davood Karimi, Ali Gholipour:
Diffusion tensor estimation with transformer neural networks. Artif. Intell. Medicine 130: 102330 (2022) - [j38]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:
Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI. NeuroImage 257: 119327 (2022) - [j37]Arvind Balachandrasekaran, Alexander Li Cohen, Onur Afacan, Simon K. Warfield, Ali Gholipour:
Reducing the Effects of Motion Artifacts in fMRI: A Structured Matrix Completion Approach. IEEE Trans. Medical Imaging 41(1): 172-185 (2022) - [j36]Yao Sui, Onur Afacan, Camilo Jaimes, Ali Gholipour, Simon K. Warfield:
Scan-Specific Generative Neural Network for MRI Super-Resolution Reconstruction. IEEE Trans. Medical Imaging 41(6): 1383-1399 (2022) - [c32]Razieh Faghihpirayesh, Davood Karimi, Deniz Erdogmus, Ali Gholipour:
Deep Learning Framework for Real-Time Fetal Brain Segmentation in MRI. PIPPI@MICCAI 2022: 60-70 - [c31]Davood Karimi, Ali Gholipour:
Atlas-Powered Deep Learning (ADL) - Application to Diffusion Weighted MRI. MICCAI (1) 2022: 123-132 - [i20]Davood Karimi, Ali Gholipour:
Diffusion Tensor Estimation with Transformer Neural Networks. CoRR abs/2201.05701 (2022) - [i19]Davood Karimi, Caitlin K. Rollins, Clemente Velasco-Annis, Abdelhakim Ouaalam, Ali Gholipour:
Learning to segment fetal brain tissue from noisy annotations. CoRR abs/2203.14962 (2022) - [i18]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:
Fetal Brain Tissue Annotation and Segmentation Challenge Results. CoRR abs/2204.09573 (2022) - [i17]Razieh Faghihpirayesh, Davood Karimi, Deniz Erdogmus, Ali Gholipour:
Deep Learning Framework for Real-time Fetal Brain Segmentation in MRI. CoRR abs/2205.01675 (2022) - [i16]Davood Karimi, Ali Gholipour:
Atlas-powered deep learning (ADL) - application to diffusion weighted MRI. CoRR abs/2205.03210 (2022) - [i15]Arvind Balachandrasekaran, Davood Karimi, Camilo Jaimes, Ali Gholipour:
Subject-specific quantitative susceptibility mapping using patch based deep image priors. CoRR abs/2210.06471 (2022) - 2021
- [j35]Davood Karimi, Simon K. Warfield, Ali Gholipour:
Transfer learning in medical image segmentation: New insights from analysis of the dynamics of model parameters and learned representations. Artif. Intell. Medicine 116: 102078 (2021) - [j34]Lulu Wang, Jinglong Du, Ali Gholipour, Huazheng Zhu, Zhongshi He, Yuanyuan Jia:
3D dense convolutional neural network for fast and accurate single MR image super-resolution. Comput. Medical Imaging Graph. 93: 101973 (2021) - [j33]Davood Karimi, Lana Vasung, Camilo Jaimes, Fedel Machado-Rivas, Shadab Khan, Simon K. Warfield, Ali Gholipour:
A machine learning-based method for estimating the number and orientations of major fascicles in diffusion-weighted magnetic resonance imaging. Medical Image Anal. 72: 102129 (2021) - [j32]Davood Karimi, Lana Vasung, Camilo Jaimes, Fedel Machado-Rivas, Simon K. Warfield, Ali Gholipour:
Learning to estimate the fiber orientation distribution function from diffusion-weighted MRI. NeuroImage 239: 118316 (2021) - [j31]Davood Karimi, Camilo Jaimes, Fedel Machado-Rivas, Lana Vasung, Shadab Khan, Simon K. Warfield, Ali Gholipour:
Deep learning-based parameter estimation in fetal diffusion-weighted MRI. NeuroImage 243: 118482 (2021) - [j30]Yao Sui, Onur Afacan, Camilo Jaimes, Ali Gholipour, Simon K. Warfield:
Gradient-Guided Isotropic MRI Reconstruction From Anisotropic Acquisitions. IEEE Trans. Computational Imaging 7: 1240-1253 (2021) - [j29]Haoran Dou, Davood Karimi, Caitlin K. Rollins, Cynthia M. Ortinau, Lana Vasung, Clemente Velasco-Annis, Abdelhakim Ouaalam, Xin Yang, Dong Ni, Ali Gholipour:
A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI. IEEE Trans. Medical Imaging 40(4): 1123-1133 (2021) - [j28]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:
Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. IEEE Trans. Medical Imaging 40(12): 3748-3761 (2021) - [c30]Davood Karimi, Serge Vasylechko, Ali Gholipour:
Convolution-Free Medical Image Segmentation Using Transformers. MICCAI (1) 2021: 78-88 - [c29]Yao Sui, Onur Afacan, Ali Gholipour, Simon K. Warfield:
MRI Super-Resolution Through Generative Degradation Learning. MICCAI (6) 2021: 430-440 - [c28]Davood Karimi, Lana Vasung, Fedel Machado-Rivas, Camilo Jaimes, Shadab Khan, Ali Gholipour:
Accurate Parameter Estimation in Fetal Diffusion-Weighted MRI - Learning from Fetal and Newborn Data. MICCAI (7) 2021: 487-496 - [i14]Davood Karimi, Serge Vasylechko, Ali Gholipour:
Convolution-Free Medical Image Segmentation using Transformers. CoRR abs/2102.13645 (2021) - [i13]Davood Karimi, Simon K. Warfield, Ali Gholipour:
Calibrated Diffusion Tensor Estimation. CoRR abs/2111.10847 (2021) - 2020
- [j27]Jinglong Du, Zhongshi He, Lulu Wang, Ali Gholipour, Zexun Zhou, Dingding Chen, Yuanyuan Jia:
Super-resolution reconstruction of single anisotropic 3D MR images using residual convolutional neural network. Neurocomputing 392: 209-220 (2020) - [j26]Davood Karimi, Haoran Dou, Simon K. Warfield, Ali Gholipour:
Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis. Medical Image Anal. 65: 101759 (2020) - [j25]Yao Sui, Onur Afacan, Ali Gholipour, Simon K. Warfield:
SLIMM: Slice localization integrated MRI monitoring. NeuroImage 223: 117280 (2020) - [j24]Ayush Singh, Seyed Sadegh Mohseni Salehi, Ali Gholipour:
Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging. IEEE Trans. Medical Imaging 39(11): 3523-3534 (2020) - [c27]Davood Karimi, Jurriaan M. Peters, Abdelhakim Ouaalam, Sanjay P. Prabhu, Mustafa Sahin, Darcy A. Krueger, Alexander Kolevzon, Charis Eng, Simon K. Warfield, Ali Gholipour:
Learning to Detect Brain Lesions from Noisy Annotations. ISBI 2020: 1910-1914 - [c26]Yao Sui, Onur Afacan, Ali Gholipour, Simon K. Warfield:
Learning a Gradient Guidance for Spatially Isotropic MRI Super-Resolution Reconstruction. MICCAI (2) 2020: 136-146 - [i12]Davood Karimi, Ali Gholipour:
Improving Calibration and Out-of-Distribution Detection in Medical Image Segmentation with Convolutional Neural Networks. CoRR abs/2004.06569 (2020) - [i11]Haoran Dou, Davood Karimi, Caitlin K. Rollins, Cynthia M. Ortinau, Lana Vasung, Clemente Velasco-Annis, Abdelhakim Ouaalam, Xin Yang, Dong Ni, Ali Gholipour:
A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI. CoRR abs/2004.12847 (2020) - [i10]Davood Karimi, Simon K. Warfield, Ali Gholipour:
Critical Assessment of Transfer Learning for Medical Image Segmentation with Fully Convolutional Neural Networks. CoRR abs/2006.00356 (2020) - [i9]Davood Karimi, Lana Vasung, Camilo Jaimes, Fedel Machado-Rivas, Shadab Khan, Simon K. Warfield, Ali Gholipour:
A machine learning-based method for estimating the number and orientations of major fascicles in diffusion-weighted magnetic resonance imaging. CoRR abs/2006.11117 (2020)
2010 – 2019
- 2019
- [j23]Seyed Raein Hashemi, Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Sanjay P. Prabhu, Simon K. Warfield, Ali Gholipour:
Asymmetric Loss Functions and Deep Densely-Connected Networks for Highly-Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection. IEEE Access 7: 1721-1735 (2019) - [j22]Joseph Enguehard, Peter O'Halloran, Ali Gholipour:
Semi-Supervised Learning With Deep Embedded Clustering for Image Classification and Segmentation. IEEE Access 7: 11093-11104 (2019) - [j21]Shadab Khan, Lana Vasung, Bahram Marami, Caitlin K. Rollins, Onur Afacan, Cynthia M. Ortinau, Edward Yang, Simon K. Warfield, Ali Gholipour:
Fetal brain growth portrayed by a spatiotemporal diffusion tensor MRI atlas computed from in utero images. NeuroImage 185: 593-608 (2019) - [j20]Seyed Sadegh Mohseni Salehi, Shadab Khan, Deniz Erdogmus, Ali Gholipour:
Real-Time Deep Pose Estimation With Geodesic Loss for Image-to-Template Rigid Registration. IEEE Trans. Medical Imaging 38(2): 470-481 (2019) - [j19]Jamshid Sourati, Ali Gholipour, Jennifer G. Dy, Xavier Tomas-Fernandez, Sila Kurugol, Simon K. Warfield:
Intelligent Labeling Based on Fisher Information for Medical Image Segmentation Using Deep Learning. IEEE Trans. Medical Imaging 38(11): 2642-2653 (2019) - [c25]Lulu Wang, Jinglong Du, Ali Gholipour, Zhongshi He, Yuanyuan Jia:
Brain MRI Super-resolution Reconstruction using a Multi-level and Parallel Conv-Deconv Network. BIBM 2019: 885-891 - [c24]Yao Sui, Onur Afacan, Ali Gholipour, Simon K. Warfield:
Isotropic MRI Super-Resolution Reconstruction with Multi-scale Gradient Field Prior. MICCAI (3) 2019: 3-11 - [c23]Seyed Raein Hashemi, Sanjay P. Prabhu, Simon K. Warfield, Ali Gholipour:
Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets: Application to IsoIntense Infant Brain MRI Segmentation. MIDL 2019: 260-272 - [i8]Ayush Singh, Seyed Sadegh Mohseni Salehi, Ali Gholipour:
Deep Predictive Motion Tracking in Magnetic Resonance Imaging: Application to Fetal Imaging. CoRR abs/1909.11625 (2019) - [i7]Davood Karimi, Haoran Dou, Simon K. Warfield, Ali Gholipour:
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis. CoRR abs/1912.02911 (2019) - 2018
- [c22]Jinglong Du, Lulu Wang, Ali Gholipour, Zhongshi He, Yuanyuan Jia:
Accelerated Super-resolution MR Image Reconstruction via a 3D Densely Connected Deep Convolutional Neural Network. BIBM 2018: 349-355 - [c21]Seyed Sadegh Mohseni Salehi, Seyed Raein Hashemi, Clemente Velasco-Annis, Abdelhakim Ouaalam, Judy A. Estroff, Deniz Erdogmus, Simon K. Warfield, Ali Gholipour:
Real-time automatic fetal brain extraction in fetal MRI by deep learning. ISBI 2018: 720-724 - [c20]Shadab Khan, Caitlin K. Rollins, Cynthia M. Ortinau, Onur Afacan, Simon K. Warfield, Ali Gholipour:
Tract-Specific Group Analysis in Fetal Cohorts Using in utero Diffusion Tensor Imaging. MICCAI (3) 2018: 28-35 - [c19]Jamshid Sourati, Ali Gholipour, Jennifer G. Dy, Sila Kurugol, Simon K. Warfield:
Active Deep Learning with Fisher Information for Patch-Wise Semantic Segmentation. DLMIA/ML-CDS@MICCAI 2018: 83-91 - [i6]Seyed Sadegh Mohseni Salehi, Shadab Khan, Deniz Erdogmus, Ali Gholipour:
Real-time Deep Registration With Geodesic Loss. CoRR abs/1803.05982 (2018) - [i5]Seyed Raein Hashemi, Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Sanjay P. Prabhu, Simon K. Warfield, Ali Gholipour:
Tversky as a Loss Function for Highly Unbalanced Image Segmentation using 3D Fully Convolutional Deep Networks. CoRR abs/1803.11078 (2018) - [i4]Seyed Raein Hashemi, Sanjay P. Prabhu, Simon K. Warfield, Ali Gholipour:
Exclusive Independent Probability Estimation using Deep 3D Fully Convolutional DenseNets for IsoIntense Infant Brain MRI Segmentation. CoRR abs/1809.08168 (2018) - 2017
- [j18]Sébastien Tourbier, Clemente Velasco-Annis, Vahid Taimouri, Patric Hagmann, Reto Meuli, Simon K. Warfield, Meritxell Bach Cuadra, Ali Gholipour:
Automated template-based brain localization and extraction for fetal brain MRI reconstruction. NeuroImage 155: 460-472 (2017) - [j17]Bahram Marami, Seyed Sadegh Mohseni Salehi, Onur Afacan, Benoit Scherrer, Caitlin K. Rollins, Edward Yang, Judy A. Estroff, Simon K. Warfield, Ali Gholipour:
Temporal slice registration and robust diffusion-tensor reconstruction for improved fetal brain structural connectivity analysis. NeuroImage 156: 475-488 (2017) - [j16]Yuanyuan Jia, Ali Gholipour, Zhongshi He, Simon K. Warfield:
A New Sparse Representation Framework for Reconstruction of an Isotropic High Spatial Resolution MR Volume From Orthogonal Anisotropic Resolution Scans. IEEE Trans. Medical Imaging 36(5): 1182-1193 (2017) - [j15]Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour:
Auto-Context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging. IEEE Trans. Medical Imaging 36(11): 2319-2330 (2017) - [c18]Sila Kurugol, Bahram Marami, Onur Afacan, Simon K. Warfield, Ali Gholipour:
Motion-Robust Spatially Constrained Parameter Estimation in Renal Diffusion-Weighted MRI by 3D Motion Tracking and Correction of Sequential Slices. CMMI/RAMBO/SWITCH@MICCAI 2017: 75-85 - [c17]Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour:
Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks. MLMI@MICCAI 2017: 379-387 - [i3]Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour:
Auto-context Convolutional Neural Network for Geometry-Independent Brain Extraction in Magnetic Resonance Imaging. CoRR abs/1703.02083 (2017) - [i2]Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour:
Tversky loss function for image segmentation using 3D fully convolutional deep networks. CoRR abs/1706.05721 (2017) - [i1]Seyed Sadegh Mohseni Salehi, Seyed Raein Hashemi, Clemente Velasco-Annis, Abdelhakim Ouaalam, Judy A. Estroff, Deniz Erdogmus, Simon K. Warfield, Ali Gholipour:
Real-Time Automatic Fetal Brain Extraction in Fetal MRI by Deep Learning. CoRR abs/1710.09338 (2017) - 2016
- [j14]Yuanyuan Jia, Zhongshi He, Ali Gholipour, Simon K. Warfield:
Single Anisotropic 3-D MR Image Upsampling via Overcomplete Dictionary Trained From In-Plane High Resolution Slices. IEEE J. Biomed. Health Informatics 20(6): 1552-1561 (2016) - [j13]Bahram Marami, Benoit Scherrer, Onur Afacan, Burak Erem, Simon K. Warfield, Ali Gholipour:
Motion-Robust Diffusion-Weighted Brain MRI Reconstruction Through Slice-Level Registration-Based Motion Tracking. IEEE Trans. Medical Imaging 35(10): 2258-2269 (2016) - [c16]Bahram Marami, Benoit Scherrer, Onur Afacan, Simon K. Warfield, Ali Gholipour:
Motion-Robust Reconstruction Based on Simultaneous Multi-slice Registration for Diffusion-Weighted MRI of Moving Subjects. MICCAI (3) 2016: 544-552 - 2015
- [c15]Benoit Scherrer, Onur Afacan, Maxime Taquet, Sanjay P. Prabhu, Ali Gholipour, Simon K. Warfield:
Accelerated High Spatial Resolution Diffusion-Weighted Imaging. IPMI 2015: 69-81 - [c14]Vahid Taimouri, Ali Gholipour, Clemente Velasco-Annis, Judy A. Estroff, Simon K. Warfield:
A template-to-slice block matching approach for automatic localization of brain in fetal MRI. ISBI 2015: 144-147 - 2014
- [c13]Ali Gholipour, Catherine Limperopoulos, Sean Clancy, Cédric Clouchoux, Alireza Akhondi Asl, Judy A. Estroff, Simon K. Warfield:
Construction of a Deformable Spatiotemporal MRI Atlas of the Fetal Brain: Evaluation of Similarity Metrics and Deformation Models. MICCAI (2) 2014: 292-299 - 2012
- [j12]Benoit Scherrer, Ali Gholipour, Simon K. Warfield:
Super-resolution reconstruction to increase the spatial resolution of diffusion weighted images from orthogonal anisotropic acquisitions. Medical Image Anal. 16(7): 1465-1476 (2012) - [j11]Ali Gholipour, Alireza Akhondi Asl, Judy A. Estroff, Simon K. Warfield:
Multi-atlas multi-shape segmentation of fetal brain MRI for volumetric and morphometric analysis of ventriculomegaly. NeuroImage 60(3): 1819-1831 (2012) - [j10]Siamak Yousefi, Nasser Kehtarnavaz, Ali Gholipour:
Improved Labeling of Subcortical Brain Structures in Atlas-Based Segmentation of Magnetic Resonance Images. IEEE Trans. Biomed. Eng. 59(7): 1808-1817 (2012) - [c12]Benoit Scherrer, Ali Gholipour, Simon K. Warfield:
Super-resolution reconstruction of diffusion-weighted images from distortion compensated orthogonal anisotropic acquisitions. MMBIA 2012: 249-254 - 2011
- [j9]Ali Gholipour, Judy A. Estroff, Carol E. Barnewolt, Susan A. Connolly, Simon K. Warfield:
Fetal brain volumetry through MRI volumetric reconstruction and segmentation. Int. J. Comput. Assist. Radiol. Surg. 6(3): 329-339 (2011) - [c11]Ali Gholipour, Martin Polak, André J. W. van der Kouwe, Erez Nevo, Simon K. Warfield:
Motion-robust MRI through real-time motion tracking and retrospective super-resolution volume reconstruction. EMBC 2011: 5722-5725 - [c10]Siamak Yousefi, Nasser Kehtarnavaz, Ali Gholipour:
Synthesis of cervical tissue second harmonic generation images using Markov random field modeling. EMBC 2011: 6180-6183 - [c9]Ali Gholipour, Nasser Kehtarnavaz, Benoit Scherrer, Simon K. Warfield:
On the accuracy of unwarping techniques for the correction of susceptibility-induced geometric distortion in magnetic resonance Echo-planar images. EMBC 2011: 6997-7000 - [c8]Benoit Scherrer, Ali Gholipour, Simon K. Warfield:
Super-Resolution in Diffusion-Weighted Imaging. MICCAI (2) 2011: 124-132 - 2010
- [j8]Ali Gholipour, Nasser Kehtarnavaz, Siamak Yousefi, Kaundinya S. Gopinath, Richard W. Briggs:
Symmetric deformable image registration via optimization of information theoretic measures. Image Vis. Comput. 28(6): 965-975 (2010) - [j7]Ali Gholipour, Judy A. Estroff, Simon K. Warfield:
Robust Super-Resolution Volume Reconstruction From Slice Acquisitions: Application to Fetal Brain MRI. IEEE Trans. Medical Imaging 29(10): 1739-1758 (2010) - [c7]Ali Gholipour, Judy A. Estroff, Mustafa Sahin, Sanjay P. Prabhu, Simon K. Warfield:
Maximum A Posteriori Estimation of Isotropic High-Resolution Volumetric MRI from Orthogonal Thick-Slice Scans. MICCAI (2) 2010: 109-116
2000 – 2009
- 2008
- [j6]Ali Gholipour, Nasser Kehtarnavaz, Kaundinya S. Gopinath, Richard W. Briggs:
Cross-Validation of Deformable Registration With Field Maps in Functional Magnetic Resonance Brain Imaging. IEEE J. Sel. Top. Signal Process. 2(6): 854-869 (2008) - [j5]Ali Gholipour, Nasser Kehtarnavaz, Richard W. Briggs, Kaundinya S. Gopinath, Wendy Ringe, Anthony Whittemore, Sergey Cheshkov, Khamid Bakhadirov:
Validation of Non-Rigid Registration Between Functional and Anatomical Magnetic Resonance Brain Images. IEEE Trans. Biomed. Eng. 55(2): 563-571 (2008) - [c6]Ali Gholipour, Nasser Kehtarnavaz:
Computationally efficient mutual information estimation for non-rigid image registration. ICIP 2008: 1792-1795 - 2007
- [j4]Ali Gholipour, Caro Lucas, Babak Nadjar Araabi, Masoud Mirmomeni, Masoud Shafiee:
Extracting the main patterns of natural time series for long-term neurofuzzy prediction. Neural Comput. Appl. 16(4-5): 383-393 (2007) - [j3]Ali Gholipour, Nasser Kehtarnavaz, Richard W. Briggs, Michael Devous, Kaundinya S. Gopinath:
Brain Functional Localization: A Survey of Image Registration Techniques. IEEE Trans. Medical Imaging 26(4): 427-451 (2007) - [c5]Ali Gholipour, Nasser Kehtarnavaz, Richard W. Briggs, Kaundinya S. Gopinath:
Kullback-Leibler Distance Optimization for Non-rigid Registration of Echo-Planar to Structural Magnetic Resonance Brain Images. ICIP (6) 2007: 221-224 - [c4]Ali Gholipour, Nasser Kehtarnavaz, Richard W. Briggs, Kaundinya S. Gopinath:
A field map guided approach to non-rigid registration of brain EPI to structural MRI. Image Processing 2007: 651205 - 2006
- [j2]Ali Gholipour, Babak Nadjar Araabi, Caro Lucas:
Predicting Chaotic Time Series Using Neural and Neurofuzzy Models: A Comparative Study. Neural Process. Lett. 24(3): 217-239 (2006) - [c3]Ali Gholipour, Nasser Kehtarnavaz, Kaundinya S. Gopinath, Richard W. Briggs, Michael Devous, Robert W. Haley:
Distortion Correction via Non-rigid Registration of Functional to Anatomical Magnetic Resonance Brain Images. ICIP 2006: 1181-1184 - 2003
- [j1]Caro Lucas, Ali Abbaspour, Ali Gholipour, Babak Nadjar Araabi, Mehrdad Fatourechi:
Enhancing the Performance of Neurofuzzy Predictors by Emotional Learning Algorith. Informatica (Slovenia) 27(2): 165-174 (2003) - [c2]Ali Gholipour, Mohammad Javad Yazdanpanah:
Dynamic tracking control of nonholonomic mobile robot with model reference adaptation for uncertain parameters. ECC 2003: 3118-3122 - [c1]Ali Gholipour, Ali Abbaspour, Babak Nadjar Araabi, Caro Lucas:
Enhancements in the Prediction of Solar Activity by Locally Linear Model Tree. Modelling, Identification and Control 2003: 157-160
Coauthor Index
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