Mapping the effects of ApoE4, age and cognitive status on 18F-florbetapir PET measured regional cortical patterns of beta-amyloid density and growth. - Kelly R. Murphy; Susan M. Landau; Kingshuk Roy Choudhury; Christopher A. Hostage; Katie S. Shpanskaya; Haris I. Sair; Jeffrey R. Petrella; Terence Z. Wong; P. Murali Doraiswamy (NeuroImage, 2013)

Estimating a graphical intra-class correlation coefficient (GICC) using multivariate probit-linear mixed models. - Chen Yue; Shaojie Chen; Haris I. Sair; Raag D. Airan; Brian S. Caffo (Comput. Stat. Data Anal., 2015)

A machine learning based approach for identifying traumatic brain injury patients for whom a head CT scan can be avoided. - Somayeh Molaei; Frederick K. Korley; S. M. Reza Soroushmehr; Hayley Falk; Haris I. Sair; Kevin Ward; Kayvan Najarian (EMBC, 2016)

Demonstration of Brain Tumor-Induced Neurovascular Uncoupling in Resting-State fMRI at Ultrahigh Field. - Shruti Agarwal; Haris I. Sair; Raag D. Airan; Jun Hua; Craig K. Jones; Hye-Young Heo; Alessandro Olivi; Martin A. Lindquist; James J. Pekar; Jay J. Pillai (Brain Connect., 2016)

Reporting of Resting-State Functional Magnetic Resonance Imaging Preprocessing Methodologies. - Syed Hamza Waheed; Saeedeh Mirbagheri; Shruti Agarwal; Arash Kamali; Noushin Yahyavi-Firouz-Abadi; Ammar Chaudhry; Michael DiGianvittorio; Sachin K. Gujar; Jay J. Pillai; Haris I. Sair (Brain Connect., 2016)

The Resting-State Functional Magnetic Resonance Imaging Regional Homogeneity Metrics - Kendall's Coefficient of Concordance-Regional Homogeneity and Coherence-Regional Homogeneity - Are Valid Indicators of Tumor-Related Neurovascular Uncoupling. - Shruti Agarwal; Haris I. Sair; Jay J. Pillai (Brain Connect., 2017)

Dynamic Functional Connectivity States Between the Dorsal and Ventral Sensorimotor Networks Revealed by Dynamic Conditional Correlation Analysis of Resting-State Functional Magnetic Resonance Imaging. - Maleeha F. Syed; Martin A. Lindquist; Jay J. Pillai; Shruti Agarwal; Sachin K. Gujar; Ann S. Choe; Brian Caffo; Haris I. Sair (Brain Connect., 2017)

Defining Patient Specific Functional Parcellations in Lesional Cohorts via Markov Random Fields. - Naresh Nandakumar; Niharika Shimona D'Souza; Jeff Craley; Komal Manzoor; Jay J. Pillai; Sachin K. Gujar; Haris I. Sair; Archana Venkataraman (CNI@MICCAI, 2018)

A Novel Graph Neural Network to Localize Eloquent Cortex in Brain Tumor Patients from Resting-State fMRI Connectivity. - Naresh Nandakumar; Komal Manzoor; Jay J. Pillai; Sachin K. Gujar; Haris I. Sair; Archana Venkataraman (CNI@MICCAI, 2019)

Functional Magnetic Resonance Imaging Activation Optimization in the Setting of Brain Tumor-Induced Neurovascular Uncoupling Using Resting-State Blood Oxygen Level-Dependent Amplitude of Low Frequency Fluctuations. - Shruti Agarwal; Haris I. Sair; Sachin K. Gujar; Jun Hua; Hanzhang Lu; Jay J. Pillai (Brain Connect., 2019)

Deep Learning Method for Automated Classification of Anteroposterior and Posteroanterior Chest Radiographs. - Tae Kyung Kim; Paul H. Yi; Jinchi Wei; Ji Won Shin; Gregory D. Hager; Ferdinand K. Hui; Haris I. Sair; Cheng Ting Lin (J. Digit. Imaging, 2019)

Deep-Learning-Based Semantic Labeling for 2D Mammography and Comparison of Complexity for Machine Learning Tasks. - Paul H. Yi; Abigail Lin; Jinchi Wei; Alice C. Yu; Haris I. Sair; Ferdinand K. Hui; Gregory D. Hager; Susan C. Harvey (J. Digit. Imaging, 2019)

A Multi-task Deep Learning Framework to Localize the Eloquent Cortex in Brain Tumor Patients Using Dynamic Functional Connectivity. - Naresh Nandakumar; Niharika Shimona D'Souza; Komal Manzoor; Jay J. Pillai; Sachin K. Gujar; Haris I. Sair; Archana Venkataraman (MLCN/RNO-AI@MICCAI, 2020)

A Multi-scale Spatial and Temporal Attention Network on Dynamic Connectivity to Localize the Eloquent Cortex in Brain Tumor Patients. - Naresh Nandakumar; Komal Manzoor; Shruti Agarwal; Jay J. Pillai; Sachin K. Gujar; Haris I. Sair; Archana Venkataraman (IPMI, 2021)

Automated eloquent cortex localization in brain tumor patients using multi-task graph neural networks. - Naresh Nandakumar; Komal Manzoor; Shruti Agarwal; Jay J. Pillai; Sachin K. Gujar; Haris I. Sair; Archana Venkataraman (Medical Image Anal., 2021)

Deep Labeling of fMRI Brain Networks Using Cloud Based Processing. - Sejal Ghate; Alberto Santamaría-Pang; Ivan Tarapov; Haris I. Sair; Craig K. Jones (ISVC (1), 2022)

RefineNet: An Automated Framework to Generate Task and Subject-Specific Brain Parcellations for Resting-State fMRI Analysis. - Naresh Nandakumar; Komal Manzoor; Shruti Agarwal; Haris I. Sair; Archana Venkataraman (MICCAI (1), 2022)

Active Learning in Brain Tumor Segmentation with Uncertainty Sampling, Annotation Redundancy Restriction, and Data Initialization. - Daniel D. Kim; Rajat S. Chandra; Jian Peng; Jing Wu; Xue Feng 001; Michael Atalay; Chetan Bettegowda; Craig K. Jones; Haris I. Sair; Wei-hua Liao; Chengzhang Zhu; Beiji Zou 001; et al. (CoRR, 2023)

Deep Labeling of fMRI Brain Networks. - Ammar Ahmed Pallikonda Latheef; Sejal Ghate; Zhipeng Hui; Alberto Santamaría-Pang; Ivan Tarapov; Haris I. Sair; Craig K. Jones (CoRR, 2023)

Applications of Sequential Learning for Medical Image Classification. - Sohaib Naim; Brian Caffo; Haris I. Sair; Craig K. Jones (CoRR, 2023)

Brain Tumor Segmentation for Multi-Modal MRI with Missing Information. - Xue Feng 001; Kanchan Ghimire; Daniel D. Kim; Rajat S. Chandra; Helen Zhang; Jian Peng; Binghong Han; Gaofeng Huang; Quan Chen; Sohil H. Patel; Chetan Bettagowda; Haris I. Sair; et al. (J. Imaging Inform. Medicine, 2023)

Enhancing vision-language models for medical imaging: bridging the 3D gap with innovative slice selection. - Yuli Wang; Peng jian; Yuwei Dai; Craig K. Jones; Haris I. Sair; Jinglai Shen; Nicolas Loizou; Jing Wu; Wen-Chi Hsu; Maliha Imami; Zhicheng Jiao; Paul Zhang; et al. (NeurIPS, 2024)

Evidential Uncertainty Quantification: A Variance-Based Perspective. - Ruxiao Duan; Brian Caffo; Harrison X. Bai; Haris I. Sair; Craig K. Jones (WACV, 2024)

Atlas-Based Labeling of Resting-State fMRI. - Hrishikesh Kambli; Alberto Santamaría-Pang; Ivan Tarapov; Elham Beheshtian; Licia P. Luna; Haris I. Sair; Craig K. Jones (Brain Connect., 2024)

Emergent Language Symbolic Autoencoder (ELSA) with Weak Supervision to Model Hierarchical Brain Networks. - Ammar Ahmed Pallikonda Latheef; Alberto Santamaría-Pang; Craig K. Jones; Haris I. Sair (CoRR, 2024)