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2020 – today
- 2024
[j12]Hrishikesh Kambli, Alberto Santamaría-Pang, Ivan Tarapov, Elham Beheshtian, Licia P. Luna, Haris I. Sair, Craig K. Jones
:
Atlas-Based Labeling of Resting-State fMRI. Brain Connect. 14(6): 319-326 (2024)- [c8]Ruxiao Duan, Brian Caffo, Harrison X. Bai, Haris I. Sair, Craig K. Jones:
Evidential Uncertainty Quantification: A Variance-Based Perspective. WACV 2024: 2121-2130 - [i7]Ammar Ahmed Pallikonda Latheef, Alberto Santamaría-Pang, Craig K. Jones, Haris I. Sair:
Emergent Language Symbolic Autoencoder (ELSA) with Weak Supervision to Model Hierarchical Brain Networks. CoRR abs/2404.10031 (2024) - 2023
- [j11]Xue Feng, 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, Craig K. Jones, Zhicheng Jiao, Li Yang, Harrison X. Bai:
Brain Tumor Segmentation for Multi-Modal MRI with Missing Information. J. Imaging Inform. Medicine 36(5): 2075-2087 (2023) - [i6]Daniel D. Kim, Rajat S. Chandra, Jian Peng, Jing Wu, Xue Feng, Michael Atalay, Chetan Bettegowda, Craig K. Jones, Haris I. Sair, Wei-hua Liao, Chengzhang Zhu, Beiji Zou, Li Yang, Anahita Fathi Kazerooni, Ali Nabavizadeh, Harrison X. Bai, Zhicheng Jiao:
Active Learning in Brain Tumor Segmentation with Uncertainty Sampling, Annotation Redundancy Restriction, and Data Initialization. CoRR abs/2302.10185 (2023) - [i5]Ammar Ahmed Pallikonda Latheef, Sejal Ghate, Zhipeng Hui, Alberto Santamaría-Pang, Ivan Tarapov, Haris I. Sair, Craig K. Jones:
Deep Labeling of fMRI Brain Networks. CoRR abs/2305.03814 (2023) - [i4]Sohaib Naim, Brian Caffo, Haris I. Sair, Craig K. Jones:
Applications of Sequential Learning for Medical Image Classification. CoRR abs/2309.14591 (2023) - [i3]Ruxiao Duan, Brian Caffo, Harrison X. Bai, Haris I. Sair, Craig K. Jones:
Evidential Uncertainty Quantification: A Variance-Based Perspective. CoRR abs/2311.11367 (2023) - 2022
- [c7]Sejal Ghate, Alberto Santamaría-Pang, Ivan Tarapov, Haris I. Sair, Craig K. Jones:
Deep Labeling of fMRI Brain Networks Using Cloud Based Processing. ISVC (1) 2022: 275-283 - [c6]Naresh Nandakumar, Komal Manzoor, Shruti Agarwal, Haris I. Sair, Archana Venkataraman:
RefineNet: An Automated Framework to Generate Task and Subject-Specific Brain Parcellations for Resting-State fMRI Analysis. MICCAI (1) 2022: 315-325 - [i2]Sejal Ghate, Alberto Santamaría-Pang, Ivan Tarapov, Haris I. Sair, Craig K. Jones:
Deep Labeling of fMRI Brain Networks Using Cloud Based Processing. CoRR abs/2209.08200 (2022) - 2021
- [j10]Naresh Nandakumar, Komal Manzoor, Shruti Agarwal, Jay J. Pillai, Sachin K. Gujar, Haris I. Sair, Archana Venkataraman:
Automated eloquent cortex localization in brain tumor patients using multi-task graph neural networks. Medical Image Anal. 74: 102203 (2021) - [c5]Naresh Nandakumar, Komal Manzoor, Shruti Agarwal, Jay J. Pillai, Sachin K. Gujar, Haris I. Sair, Archana Venkataraman:
A Multi-scale Spatial and Temporal Attention Network on Dynamic Connectivity to Localize the Eloquent Cortex in Brain Tumor Patients. IPMI 2021: 241-252 - 2020
- [c4]Naresh Nandakumar, Niharika Shimona D'Souza, Komal Manzoor, Jay J. Pillai, Sachin K. Gujar, Haris I. Sair, Archana Venkataraman:
A Multi-task Deep Learning Framework to Localize the Eloquent Cortex in Brain Tumor Patients Using Dynamic Functional Connectivity. MLCN/RNO-AI@MICCAI 2020: 34-44 - [i1]Naresh Nandakumar, Niharika Shimona D'Souza, Komal Manzoor, Jay J. Pillai, Sachin K. Gujar, Haris I. Sair, Archana Venkataraman:
A Multi-Task Deep Learning Framework to Localize the Eloquent Cortex in Brain Tumor Patients Using Dynamic Functional Connectivity. CoRR abs/2011.08813 (2020)
2010 – 2019
- 2019
- [j9]Shruti Agarwal, Haris I. Sair, Sachin K. Gujar, Jun Hua, Hanzhang Lu, Jay J. Pillai:
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. Brain Connect. 9(3): 241-250 (2019) - [j8]Paul H. Yi, Abigail Lin, Jinchi Wei, Alice C. Yu, Haris I. Sair, Ferdinand K. Hui, Gregory D. Hager, Susan C. Harvey:
Deep-Learning-Based Semantic Labeling for 2D Mammography and Comparison of Complexity for Machine Learning Tasks. J. Digit. Imaging 32(4): 565-570 (2019) - [j7]Tae Kyung Kim, Paul H. Yi, Jinchi Wei, Ji Won Shin, Gregory D. Hager, Ferdinand K. Hui, Haris I. Sair, Cheng Ting Lin:
Deep Learning Method for Automated Classification of Anteroposterior and Posteroanterior Chest Radiographs. J. Digit. Imaging 32(6): 925-930 (2019) - [c3]Naresh Nandakumar, Komal Manzoor, Jay J. Pillai, Sachin K. Gujar, Haris I. Sair, Archana Venkataraman:
A Novel Graph Neural Network to Localize Eloquent Cortex in Brain Tumor Patients from Resting-State fMRI Connectivity. CNI@MICCAI 2019: 10-20 - 2018
- [c2]Naresh Nandakumar, Niharika Shimona D'Souza, Jeff Craley, Komal Manzoor, Jay J. Pillai, Sachin K. Gujar, Haris I. Sair, Archana Venkataraman:
Defining Patient Specific Functional Parcellations in Lesional Cohorts via Markov Random Fields. CNI@MICCAI 2018: 88-98 - 2017
- [j6]Shruti Agarwal, Haris I. Sair, Jay J. Pillai:
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. Brain Connect. 7(4): 228-235 (2017) - [j5]Maleeha F. Syed, Martin A. Lindquist, Jay J. Pillai, Shruti Agarwal, Sachin K. Gujar, Ann S. Choe, Brian Caffo, Haris I. Sair:
Dynamic Functional Connectivity States Between the Dorsal and Ventral Sensorimotor Networks Revealed by Dynamic Conditional Correlation Analysis of Resting-State Functional Magnetic Resonance Imaging. Brain Connect. 7(10): 635-642 (2017) - 2016
- [j4]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:
Demonstration of Brain Tumor-Induced Neurovascular Uncoupling in Resting-State fMRI at Ultrahigh Field. Brain Connect. 6(4): 267-272 (2016) - [j3]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:
Reporting of Resting-State Functional Magnetic Resonance Imaging Preprocessing Methodologies. Brain Connect. 6(9): 663-668 (2016) - [c1]Somayeh Molaei, Frederick K. Korley, S. M. Reza Soroushmehr, Hayley Falk, Haris I. Sair, Kevin Ward, Kayvan Najarian:
A machine learning based approach for identifying traumatic brain injury patients for whom a head CT scan can be avoided. EMBC 2016: 2258-2261 - 2015
- [j2]Chen Yue, Shaojie Chen, Haris I. Sair, Raag D. Airan, Brian S. Caffo:
Estimating a graphical intra-class correlation coefficient (GICC) using multivariate probit-linear mixed models. Comput. Stat. Data Anal. 89: 126-133 (2015) - 2013
- [j1]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:
Mapping the effects of ApoE4, age and cognitive status on 18F-florbetapir PET measured regional cortical patterns of beta-amyloid density and growth. NeuroImage 78: 474-480 (2013)
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last updated on 2024-10-07 21:16 CEST by the dblp team
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