default search action
Ali Gholipour
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j45]Hamza Kebiri
, Ali Gholipour
Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study. Medical Image Anal. 95: 103186 (2024) - [j44]Camilo Calixto
Anatomically constrained tractography of the fetal brain. NeuroImage 297: 120723 (2024) - [c38]Rizhong Lin
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
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
Learning to segment fetal brain tissue from noisy annotations. Medical Image Anal. 85: 102731 (2023) - [j42]Kelly Payette
Fetal brain tissue annotation and segmentation challenge results. Medical Image Anal. 88: 102833 (2023) - [j41]Davood Karimi
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
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
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
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
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
Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI. NeuroImage 257: 119327 (2022) - [j37]Arvind Balachandrasekaran
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
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
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
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
3D dense convolutional neural network for fast and accurate single MR image super-resolution. Comput. Medical Imaging Graph. 93: 101973 (2021) - [j33]Davood Karimi
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
Gradient-Guided Isotropic MRI Reconstruction From Anisotropic Acquisitions. IEEE Trans. Computational Imaging 7: 1240-1253 (2021) - [j29]Haoran Dou
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
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
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
Super-resolution reconstruction of single anisotropic 3D MR images using residual convolutional neural network. Neurocomputing 392: 209-220 (2020) - [j26]Davood Karimi
Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis. Medical Image Anal. 65: 101759 (2020) - [j25]Yao Sui
SLIMM: Slice localization integrated MRI monitoring. NeuroImage 223: 117280 (2020) - [j24]Ayush Singh
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
Learning to Detect Brain Lesions from Noisy Annotations. ISBI 2020: 1910-1914 - [c26]Yao Sui, Onur Afacan
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
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
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
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
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
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
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
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
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
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
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
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
Temporal slice registration and robust diffusion-tensor reconstruction for improved fetal brain structural connectivity analysis. NeuroImage 156: 475-488 (2017) - [j16]Yuanyuan Jia
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
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
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
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
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
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
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
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
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
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
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
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-28 20:32 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: