A New Method for Creating Electrophysiological Maps for DBS Surgery and Their Application to Surgical Guidance. - Srivatsan Pallavaram; Pierre-François D'Haese; Chris Kao; Hong Yu 002; Michael S. Remple; Joseph S. Neimat; Peter E. Konrad; Benoit M. Dawant (MICCAI (1), 2008)

Detecting Brain Shift During Deep Brain Stimulation Surgery Using Intra-Operative Data and Functional Atlases: A Preliminary Study. - Srivatsan Pallavaram; Pierre-François D'Haese; Michael S. Remple; Joseph S. Neimat; Chris Kao; Rui Li 012; Peter E. Konrad; Benoit M. Dawant (ISBI, 2009)

A Method to Correct for Brain Shift When Building Electrophysiological Atlases for Deep Brain Stimulation (DBS) Surgery. - Srivatsan Pallavaram; Benoit M. Dawant; Rui Li 012; Joseph S. Neimat; Michael S. Remple; Chris Kao; Peter E. Konrad; Pierre-François D'Haese (MICCAI (1), 2009)

Early Clinical Evaluation of a Computer Assisted Planning System for Deep Brain Surgeries: 1 Year of Clinical Assistance. - Pierre-François D'Haese; Rui Li 012; Srivatsan Pallavaram; Todd Shanks; Peter Zahos; Joseph S. Neimat; Peter E. Konrad; Benoit M. Dawant (IPCAI, 2010)

Effect of brain shift on the creation of functional atlases for deep brain stimulation surgery. - Srivatsan Pallavaram; Benoit M. Dawant; Michael S. Remple; Joseph S. Neimat; Chris Kao; Peter E. Konrad; Pierre-François D'Haese (Int. J. Comput. Assist. Radiol. Surg., 2010)

Potential predictors for the amount of intra-operative brain shift during deep brain stimulation surgery. - Ryan D. Datteri; Srivatsan Pallavaram; Peter E. Konrad; Joseph S. Neimat; Pierre-François D'Haese; Benoit M. Dawant (Image-Guided Procedures, 2011)

A surgeon specific automatic path planning algorithm for deep brain stimulation. - Yuan Liu 019; Benoit M. Dawant; Srivatsan Pallavaram; Joseph S. Neimat; Peter E. Konrad; Pierre-François D'Haese; Ryan D. Datteri; Bennett A. Landman; Jack H. Noble (Image-Guided Procedures, 2012)

CranialVault and its CRAVE tools: A clinical computer assistance system for deep brain stimulation (DBS) therapy. - Pierre-François D'Haese; Srivatsan Pallavaram; Rui Li 012; Michael S. Remple; Chris Kao; Joseph S. Neimat; Peter E. Konrad; Benoit M. Dawant (Medical Image Anal., 2012)

Clinical testing of an alternate method of inserting bone-implanted fiducial markers. - Ramya Balachandran; Mark A. Fritz; Mary S. Dietrich; Andrei Danilchenko; Jason E. Mitchell; Veronica L. Oldfield; Wendy W. Lipscomb; J. Michael Fitzpatrick; Joseph S. Neimat; Peter E. Konrad; Robert F. Labadie (Int. J. Comput. Assist. Radiol. Surg., 2014)

Multisurgeon, Multisite Validation of a Trajectory Planning Algorithm for Deep Brain Stimulation Procedures. - Yuan Liu 019; Peter E. Konrad; Joseph S. Neimat; Stephen B. Tatter; Hong Yu 002; Ryan D. Datteri; Bennett A. Landman; Jack H. Noble; Srivatsan Pallavaram; Benoit M. Dawant; Pierre-François D'Haese (IEEE Trans. Biomed. Eng., 2014)

Concentric Tube Robots as Steerable Needles: Achieving Follow-the-Leader Deployment. - Hunter B. Gilbert; Joseph S. Neimat; Robert J. Webster III (IEEE Trans. Robotics, 2015)

Dissociable Effects of Dopamine on the Initial Capture and the Reactive Inhibition of Impulsive Actions in Parkinson's Disease. - Nelleke C. van Wouwe; Kristen E. Kanoff; Daniel O. Claassen; Charis A. Spears; Joseph S. Neimat; Wery P. M. van den Wildenberg; Scott A. Wylie (J. Cogn. Neurosci., 2016)

Design, Additive Manufacture, and Control of a Pneumatic MR-Compatible Needle Driver. - David B. Comber; Jonathon E. Slightam; Vito R. Gervasi; Joseph S. Neimat; Eric J. Barth (IEEE Trans. Robotics, 2016)

Dopamine Selectively Modulates the Outcome of Learning Unnatural Action-Valence Associations. - Nelleke C. van Wouwe; Daniel O. Claassen; Joseph S. Neimat; Kristen E. Kanoff; Scott A. Wylie (J. Cogn. Neurosci., 2017)

Magnetically Guided Catheters, Micro- and Nanorobots for Spinal Cord Stimulation. - Harun Torlakcik; Can Sarica; Patrick Bayer; Kazuaki Yamamoto; Christian Iorio-Morin; Mojgan Hodaie; Suneil K. Kalia; Joseph S. Neimat; Juha Hernesniemi; Anuj Bhatia; Bradley J. Nelson; Salvador Pané; et al. (Frontiers Neurorobotics, 2021)

Modelling the Impact of Robotics on Infectious Spread Among Healthcare Workers. - Raul Vicente; Youssef Mohamed; Víctor M. Eguíluz; Emal Zemmar; Patrick Bayer; Joseph S. Neimat; Juha Hernesniemi; Bradley J. Nelson; Ajmal Zemmar (Frontiers Robotics AI, 2021)

Design considerations for robotic, MRI-guided, trans-foramen ovale access to the brain. - Abby M. Grillo; John E. Peters; Daniel S. Esser; Sarah J. Garrow; Tyler Ball; Robert Naftel; Dario J. Englot; Joseph S. Neimat; William A. Grissom; Eric J. Barth; Robert J. Webster III (Image-Guided Procedures, 2023)

A Multi-Modal Non-Invasive Deep Learning Framework for Progressive Prediction of Seizures. - Ali Saeizadeh; Douglas Schonholtz; Joseph S. Neimat; Pedram Johari; Tommaso Melodia (BSN, 2024)

SeizNet: An AI-Enabled Implantable Sensor Network System for Seizure Prediction. - Ali Saeizadeh; Douglas Schonholtz; Daniel Uvaydov; Raffaele Guida; Emrecan Demirors; Pedram Johari; Jorge M. Jimenez; Joseph S. Neimat; Tommaso Melodia (WONS, 2024)