Enhancing the introductory computer science curriculum: C++ or Java? - Andrei Irimia (J. Comput. Sci. Coll., 2001)

Separation of gastric electrical control activity from simultaneous MGG/EGG recordings using independent component analysis. - Andrei Irimia; Michael R. Gallucci; William O. Richards; L. Alan Bradshaw (EMBC, 2006)

Combinatorial formulae for the derivatives of Lamé functions. - Andrei Irimia (Appl. Math. Comput., 2006)

An integrative software package for gastrointestinal biomagnetic data acquisition and analysis using SQUID magnetometers. - Andrei Irimia; Leo K. Cheng; Martin L. Buist; Andrew J. Pullan; L. Alan Bradshaw (Comput. Methods Programs Biomed., 2006)

Comparison of Conventional Filtering and Independent Component Analysis for Artifact Reduction in Simultaneous Gastric EMG and Magnetogastrography From Porcines. - Andrei Irimia; William O. Richards; L. Alan Bradshaw (IEEE Trans. Biomed. Eng., 2009)

Geometric Metamorphosis. - Marc Niethammer; Gabriel L. Hart; Danielle F. Pace; Paul M. Vespa; Andrei Irimia; John D. Van Horn; Stephen R. Aylward (MICCAI (2), 2011)

Segmentation of serial MRI of TBI patients using personalized atlas construction and topological change estimation. - Bo Wang 019; Marcel Prastawa; Suyash P. Awate; Andrei Irimia; Micah C. Chambers; Paul M. Vespa; John D. Van Horn; Guido Gerig (ISBI, 2012)

A patient-specific segmentation framework for longitudinal MR images of traumatic brain injury. - Bo Wang 019; Marcel Prastawa; Andrei Irimia; Micah C. Chambers; Paul M. Vespa; John D. Van Horn; Guido Gerig (Image Processing, 2012)

Circular representation of human cortical networks for subject and population-level connectomic visualization. - Andrei Irimia; Micah C. Chambers; Carinna M. Torgerson; John D. Van Horn (NeuroImage, 2012)

Source cancellation profiles of electroencephalography and magnetoencephalography. - Andrei Irimia; John Darrell Van Horn; Eric Halgren (NeuroImage, 2012)

High-resolution electroencephalographic forward modeling in traumatic brain injury using the finite element method. - S. Y. Matt Goh; Andrei Irimia; Carinna M. Torgerson; Ron Kikinis; Paul M. Vespa; John D. Van Horn (ISBI, 2013)

Analyzing imaging biomarkers for traumatic brain injury using 4d modeling of longitudinal MRI. - Bo Wang 019; Marcel Prastawa; Andrei Irimia; Micah C. Chambers; Neda Sadeghi; Paul M. Vespa; John D. Van Horn; Guido Gerig (ISBI, 2013)

Modeling 4D Changes in Pathological Anatomy Using Domain Adaptation: Analysis of TBI Imaging Using a Tumor Database. - Bo Wang 019; Marcel Prastawa; Avishek Saha; Suyash P. Awate; Andrei Irimia; Micah C. Chambers; Paul M. Vespa; John D. Van Horn; Valerio Pascucci; Guido Gerig (MBIA, 2013)

The structural, connectomic and network covariance of the human brain. - Andrei Irimia; John D. Van Horn (NeuroImage, 2013)

Multimodal Deformable Registration of Traumatic Brain Injury MR Volumes via the Bhattacharyya Distance. - Yifei Lou; Andrei Irimia; Patricio A. Vela; Micah C. Chambers; John D. Van Horn; Paul M. Vespa; Allen R. Tannenbaum (IEEE Trans. Biomed. Eng., 2013)

4D active cut: An interactive tool for pathological anatomy modeling. - Bo Wang 019; Wei Liu 036; Marcel Prastawa; Andrei Irimia; Paul M. Vespa; John D. Van Horn; P. Thomas Fletcher; Guido Gerig (ISBI, 2014)

Neuroinformatics challenges to the structural, connectomic, functional and electrophysiological multimodal imaging of human traumatic brain injury. - S. Y. Matt Goh; Andrei Irimia; Carinna M. Torgerson; John D. Van Horn (Frontiers Neuroinformatics, 2014)

Quality Control Considerations for the Effective Integration of Neuroimaging Data. - Sumiko Abe; Andrei Irimia; John Darrell Van Horn (DILS, 2015)

Integration of Multimodal Neuroimaging and Electroencephalography for the Study of Acute Epileptiform Activity After Traumatic Brain Injury. - Andrei Irimia; Sheng-Yang M. Goh; Paul M. Vespa; John D. Van Horn (DILS, 2015)

Integration of Behavioral, Structural, Functional, and Genetic Data for the Study of Autism Spectrum Disorders. - Carinna M. Torgerson; Andrei Irimia; S.-Y. Matthew Goh; John D. Van Horn (DILS, 2015)

Scale-Dependent Variability and Quantitative Regimes in Graph-Theoretic Representations of Human Cortical Networks. - Andrei Irimia; John Darrell Van Horn (Brain Connect., 2016)

Modeling 4D pathological changes by leveraging normative models. - Bo Wang 019; Marcel Prastawa; Andrei Irimia; Avishek Saha; Wei Liu 036; Sheng-Yang M. Goh; Paul M. Vespa; John D. Van Horn; Guido Gerig (Comput. Vis. Image Underst., 2016)

Mobile Monitoring of Traumatic Brain Injury in Older Adults: Challenges and Opportunities. - Andrei Irimia; Susan Wei; Nanshu Lu; Constance M. Moore; David N. Kennedy (Neuroinformatics, 2017)

Neuroinformatics and Analysis of Connectomic Alterations Due to Cerebral Microhemorrhages in Geriatric Mild Neurotrauma: Microhemorrhages in Geriatric Neurotrauma. - Alexander S. Maher; Kenneth A. Rostowsky; Nahian F. Chowdhury; Andrei Irimia (BCB, 2018)

Support Vector Machines, Multidimensional Scaling and Magnetic Resonance Imaging Reveal Structural Brain Abnormalities Associated With the Interaction Between Autism Spectrum Disorder and Sex. - Andrei Irimia; Xiaoyu Lei; Carinna M. Torgerson; Zachary J. Jacokes; Sumiko Abe; John D. Van Horn (Frontiers Comput. Neurosci., 2018)

Post-Traumatic Cerebral Microhemorrhages and their Effects Upon White Matter Connectivity in the Aging Human Brain. - Di Fan; Nikhil N. Chaudhari; Kenneth A. Rostowsky; Maria Calvillo; Sean K. Lee; Nahian F. Chowdhury; Fan Zhang 013; Lauren J. O'Donnell; Andrei Irimia (EMBC, 2019)

Brain Segmentation From Computed Tomography of Healthy Aging and Geriatric Concussion at Variable Spatial Resolutions. - Andrei Irimia; Alexander S. Maher; Kenneth A. Rostowsky; Nahian F. Chowdhury; Darryl H. Hwang; Meng Law (Frontiers Neuroinformatics, 2019)

The LONI QC System: A Semi-Automated, Web-Based and Freely-Available Environment for the Comprehensive Quality Control of Neuroimaging Data. - Hosung Kim; Andrei Irimia; Sam Hobel; Mher Pogosyan; Haoteng Tang; Petros Petrosyan; Rita Esquivel Castelo Blanco; Ben A. Duffy; Lu Zhao; Karen L. Crawford; Sook-Lei Liew; Kristi Clark; et al. (Frontiers Neuroinformatics, 2019)

Mapping Cerebral Connectivity Changes after Mild Traumatic Brain Injury in Older Adults Using Diffusion Tensor Imaging and Riemannian Matching of Elastic Curves. - Andrei Irimia; Di Fan; Nikhil N. Chaudhari; Van Ngo; Fan Zhang 013; Shantanu H. Joshi; Lauren J. O'Donnell (ISBI, 2020)

Prediction of posttraumatic epilepsy using machine learning. - Haleh Akrami; Andrei Irimia; Wenhui Cui; Anand A. Joshi; Richard M. Leahy (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021)

Mapping the rest of the human connectome: Atlasing the spinal cord and peripheral nervous system. - Andrei Irimia; John Darrell Van Horn (NeuroImage, 2021)

Tractography methods and findings in brain tumors and traumatic brain injury. - Fang-Cheng Yeh; Andrei Irimia; Dhiego Chaves de Almeida Bastos; Alexandra J. Golby (NeuroImage, 2021)

Cross-Sectional Volumes and Trajectories of the Human Brain, Gray Matter, White Matter and Cerebrospinal Fluid in 9473 Typically Aging Adults. - Andrei Irimia (Neuroinformatics, 2021)

Generative Decoding of Visual Stimuli. - Eleni Miliotou; Panagiotis Kyriakis; Jason D. Hinman; Andrei Irimia; Paul Bogdan (ICML, 2023)

Linking Symptom Inventories using Semantic Textual Similarity. - Eamonn Kennedy; Shashank Vadlamani; Hannah M. Lindsey; Kelly S. Peterson; Kristen Dams OConnor; Kenton Murray; Ronak Agarwal; Houshang H. Amiri; Raeda K. Andersen; Talin Babikian; David A Baron; Erin D. Bigler; et al. (CoRR, 2023)

Leader-Follower Neural Networks with Local Error Signals Inspired by Complex Collectives. - Chenzhong Yin; Mingxi Cheng; Xiongye Xiao; Xinghe Chen; Shahin Nazarian; Andrei Irimia; Paul Bogdan (CoRR, 2023)

ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. - Guillermo Bernárdez; Lev Telyatnikov; Marco Montagna; Federica Baccini; Mathilde Papillon; Miquel Ferriol Galmés; Mustafa Hajij; Theodore Papamarkou; Maria Sofia Bucarelli; Olga Zaghen; Johan Mathe; Audun Myers; et al. (CoRR, 2024)

Anatomic Interpretability in Neuroimage Deep Learning: Saliency Approaches for Typical Aging and Traumatic Brain Injury. - Kevin H. Guo; Nikhil N. Chaudhari; Tamara Jafar; Nahian F. Chowdhury; Paul Bogdan; Andrei Irimia (Neuroinformatics, 2024)

Neuroinformatics and Analysis of Traumatic Brain Injury and Related Conditions. - Andrei Irimia (Neuroinformatics, 2024)

Controllable Generative Model for Brain Evolution. - Gengshuo Liu; Nikhil N. Chaudhari; Nikos Kanakaris; Chenzhong Yin; Paul Bogdan; Andrei Irimia (ICASSP, 2025)

Exploiting Application-to-Architecture Dependencies for Designing Scalable OS. - Yao Xiao; Nikos Kanakaris; Anzhe Cheng; Chenzhong Yin; Nesreen K. Ahmed; Shahin Nazarian; Andrei Irimia; Paul Bogdan (ICASSP, 2025)

HDLCoRe: A Training-Free Framework for Mitigating Hallucinations in LLM-Generated HDL. - Heng Ping; Shixuan Li; Peiyu Zhang 002; Anzhe Cheng; Shukai Duan 002; Nikos Kanakaris; Xiongye Xiao; Wei Yang; Shahin Nazarian; Andrei Irimia; Paul Bogdan (CoRR, 2025)

Genetic Insights into Brain Morphology: a Genome-Wide Association Study of Cortical Thickness and T1-Weighted MRI Gray Matter-White Matter Intensity Contrast. - Nicholas J. Kim; Nahian F. Chowdhury; Kenneth H. Buetow; Paul M. Thompson; Andrei Irimia (Neuroinformatics, 2025)