Active vision: 3D from an image sequence. - Amir Shmuel; Michael Werman (ICPR (1), 1990)

3D from an image sequence-occlusions and perspective. - Amir Shmuel; Michael Werman (CVPR, 1991)

Localization of primitives using adaptive projections. - Yacov Hel-Or; Amir Shmuel; Michael Werman (J. Intell. Robotic Syst., 1994)

Magnetic resonance imaging of brain function and neurochemistry. - Kâmil Ugurbil; Dae-Shik Kim; Tim Q. Duong; Xiaoping Hu 001; Seiji Ogawa; Rolf Gruetter; Wei Chen 086; Seong-Gi Kim; Xiao-Hung Zhu; Essa Yacoub; Pierre-François van de Moortele; Amir Shmuel; et al. (Proc. IEEE, 2001)

Zoomed Functional Imaging in the Human Brain at 7 Tesla with Simultaneous High Spatial and High Temporal Resolution. - Josef Pfeuffer; Pierre-François van de Moortele; Essa Yacoub; Amir Shmuel; Gregor Adriany; Peter Andersen; Hellmut Merkle; Michael Garwood; Kâmil Ugurbil; Xiaoping Hu 001 (NeuroImage, 2002)

Signal and noise characteristics of Hahn SE and GE BOLD fMRI at 7 T in humans. - Essa Yacoub; Pierre-François van de Moortele; Amir Shmuel; Kâmil Ugurbil (NeuroImage, 2005)

Robust controlled functional MRI in alert monkeys at high magnetic field: Effects of jaw and body movements. - Georgios A. Keliris; Amir Shmuel; Shih-Pi Ku; Josef Pfeuffer; Axel Oeltermann; Thomas Steudel; Nikos K. Logothetis (NeuroImage, 2007)

Spatio-temporal point-spread function of fMRI signal in human gray matter at 7 Tesla. - Amir Shmuel; Essa Yacoub; Denis Chaimow; Nikos K. Logothetis; Kâmil Ugurbil (NeuroImage, 2007)

Robust detection of ocular dominance columns in humans using Hahn Spin Echo BOLD functional MRI at 7 Tesla. - Essa Yacoub; Amir Shmuel; Nikos K. Logothetis; Kâmil Ugurbil (NeuroImage, 2007)

Mechanisms underlying decoding at 7 T: Ocular dominance columns, broad structures, and macroscopic blood vessels in V1 convey information on the stimulated eye. - Amir Shmuel; Denis Chaimow; Günter Raddatz; Kâmil Ugurbil; Essa Yacoub (NeuroImage, 2010)

Global and System-Specific Resting-State fMRI Fluctuations Are Uncorrelated: Principal Component Analysis Reveals Anti-Correlated Networks. - Felix Carbonell; Pierre Bellec; Amir Shmuel (Brain Connect., 2011)

Modeling and analysis of mechanisms underlying fMRI-based decoding of information conveyed in cortical columns. - Denis Chaimow; Essa Yacoub; Kâmil Ugurbil; Amir Shmuel (NeuroImage, 2011)

TMS artifact removal from neurophysiolical recordings using a novel iterative adaptive filtering. - Milad Lankarany; Ajay Venkateswaran; Wei-Ping Zhu 001; M. N. S. Swamy; Amir Shmuel (ICASSP, 2012)

Energy-based stochastic control of neural mass models suggests time-varying effective connectivity in the resting state. - Roberto C. Sotero; Amir Shmuel (J. Comput. Neurosci., 2012)

Evaluation and calibration of functional network modeling methods based on known anatomical connections. - Debra Ann Dawson; Kuwook Cha; Lindsay B. Lewis; Janine D. Mendola; Amir Shmuel (NeuroImage, 2013)

Coupling of cerebral blood flow and oxygen metabolism is conserved for chromatic and luminance stimuli in human visual cortex. - Oleg Leontiev; Giedrius T. Buracas; Christine L. Liang; Beau M. Ances; Joanna E. Perthen; Amir Shmuel; Richard B. Buxton (NeuroImage, 2013)

BRAIN initiative: Fast and parallel solver for real-time monitoring of the eddy current in the brain for TMS applications. - Abas Sabouni; Philippe Pouliot; Amir Shmuel; Frederic Lesage (EMBC, 2014)

Quantification of the impact of a confounding variable on functional connectivity confirms anti-correlated networks in the resting-state. - Felix Carbonell; Pierre Bellec; Amir Shmuel (NeuroImage, 2014)

Partial Correlation-Based Retinotopically Organized Resting-State Functional Connectivity Within and Between Areas of the Visual Cortex Reflects More Than Cortical Distance. - Debra Ann Dawson; Jack Lam; Lindsay B. Lewis; Felix Carbonell; Janine D. Mendola; Amir Shmuel (Brain Connect., 2016)

1D Current Source Density (CSD) Estimation in Inverse Theory: A Unified Framework for Higher-Order Spectral Regularization of Quadrature and Expansion-Type CSD Methods. - Pascal Kropf; Amir Shmuel (Neural Comput., 2016)

MRI Based Brain-Specific 3D-Printed Model Aligned to Stereotactic Space for Registering Histology to MRI. - Sethu K. Boopathy Jegathambal; Kelvin Mok; David A. Rudko; Amir Shmuel (EMBC, 2018)

Optimization of functional MRI for detection, decoding and high-resolution imaging of the response patterns of cortical columns. - Denis Chaimow; Kâmil Ugurbil; Amir Shmuel (NeuroImage, 2018)

Spatial specificity of the functional MRI blood oxygenation response relative to neuronal activity. - Denis Chaimow; Essa Yacoub; Kâmil Ugurbil; Amir Shmuel (NeuroImage, 2018)

Detection of Parkinson's disease based on voice patterns ranking and optimized support vector machine. - Salim Lahmiri; Amir Shmuel (Biomed. Signal Process. Control., 2019)

Performance of machine learning methods applied to structural MRI and ADAS cognitive scores in diagnosing Alzheimer's disease. - Salim Lahmiri; Amir Shmuel (Biomed. Signal Process. Control., 2019)

Using Deep Learning Algorithms to Automatically Identify the Brain MRI Contrast: Implications for Managing Large Databases. - Ricardo Pizarro; Haz-Edine Assemlal; Dante De Nigris; Colm Elliott; Samson Antel; Douglas L. Arnold; Amir Shmuel (Neuroinformatics, 2019)

Accurate Classification of Seizure and Seizure-Free Intervals of Intracranial EEG Signals From Epileptic Patients. - Salim Lahmiri; Amir Shmuel (IEEE Trans. Instrum. Meas., 2019)

Evidence suggesting common mechanisms underlie contralateral and ipsilateral negative BOLD responses in the human visual cortex. - Hengda He; Nabil Ettehadi; Amir Shmuel; Qolamreza R. Razlighi (NeuroImage, 2022)

versaFlow: a versatile pipeline for resolution adapted diffusion MRI processing and its application to studying the variability of the PRIME-DE database. - Alex Valcourt Caron; Amir Shmuel; Ziqi Hao; Maxime Descoteaux (Frontiers Neuroinformatics, 2023)

Evaluation of whole-brain oxygen metabolism in Alzheimer's disease using QSM and quantitative BOLD. - Aocai Yang; Hangwei Zhuang; Lei Du; Bing Liu; Kuan Lv; Jixin Luan; Pianpian Hu; Feng Chen; Kai Wu; Ni Shu; Amir Shmuel; Guolin Ma; et al. (NeuroImage, 2023)

Deep learning, data ramping, and uncertainty estimation for detecting artifacts in large, imbalanced databases of MRI images. - Ricardo Pizarro; Haz-Edine Assemlal; Sethu K. Boopathy Jegathambal; Thomas Jubault; Samson Antel; Douglas L. Arnold; Amir Shmuel (Medical Image Anal., 2023)

MedVisionLlama: Leveraging Pre-Trained Large Language Model Layers to Enhance Medical Image Segmentation. - Gurucharan Marthi Krishna Kumar; Aman Chadha; Janine D. Mendola; Amir Shmuel (CoRR, 2024)

VPBSD:Vessel-Pattern-Based Semi-Supervised Distillation for Efficient 3D Microscopic Cerebrovascular Segmentation. - Xi Lin; Shixuan Zhao 001; Xinxu Wei; Amir Shmuel; Yongjie Li 001 (CoRR, 2024)

Associations of quantitative susceptibility mapping with cortical atrophy and brain connectome in Alzheimer's disease: A multi-parametric study. - Haojie Chen; Aocai Yang; Weijie Huang; Lei Du; Bing Liu; Kuan Lv; Jixin Luan; Pianpian Hu; Amir Shmuel; Ni Shu; Guolin Ma (NeuroImage, 2024)

Nestedmorph: Enhancing Deformable Medical Image Registration With Nested Attention Mechanisms. - Gurucharan Marthi Krishna Kumar; Janine D. Mendola; Amir Shmuel (WACV, 2025)

Anatomic-kinetic fusion network for pituitary gland and microadenoma segmentation in multi-phase DCE-MRI. - Xiangyu Li 004; Yifan Liu; Manxi Xu; Hongwei Yu; Jixin Luan; Aocai Yang; Bing Liu; Amir Shmuel; Yuan Zhen; Gongning Luo; Wei Wang 169; Guolin Ma; et al. (Inf. Fusion, 2026)