Folgen
Jacob Antony Alappatt
Jacob Antony Alappatt
SHBT Program, Harvard University
Bestätigte E-Mail-Adresse bei g.harvard.edu
Titel
Zitiert von
Zitiert von
Jahr
Neuroimaging findings in US government personnel with possible exposure to directional phenomena in Havana, Cuba
R Verma, RL Swanson, D Parker, AAO Ismail, RT Shinohara, JA Alappatt, ...
Jama 322 (4), 336-347, 2019
522019
Music and emotion—a case for north indian classical music
JM Valla, JA Alappatt, A Mathur, NC Singh
Frontiers in psychology 8, 2115, 2017
492017
Deviation from normative brain development is associated with symptom severity in autism spectrum disorder
B Tunç, LD Yankowitz, D Parker, JA Alappatt, J Pandey, RT Schultz, ...
Molecular autism 10, 1-14, 2019
462019
QC-Automator: Deep Learning-Based Automated Quality Control for Diffusion MR Images
RV Zahra Riahi Samani, Jacob Antony Alappatt, Drew Parker, Abdol Aziz Ould ...
Frontiers in Neuroscience, 2020
352020
Connectomic consistency: a systematic stability analysis of structural and functional connectivity
Y Osmanlıoğlu, JA Alappatt, D Parker, R Verma
Journal of neural engineering 17 (4), 045004, 2020
222020
Free water volume fraction: An imaging biomarker to characterize moderate-to-severe traumatic brain injury
AA Vijayakumari, D Parker, Y Osmanlioglu, JA Alappatt, J Whyte, ...
Journal of Neurotrauma 38 (19), 2698-2705, 2021
152021
Wired for musical rhythm? A diffusion MRI-based study of individual differences in music perception
A Rajan, JM Valla, JA Alappatt, M Sharda, A Shah, M Ingalhalikar, ...
Brain Structure and Function 224, 1711-1722, 2019
132019
Connectomic assessment of injury burden and longitudinal structural network alterations in moderate‐to‐severe traumatic brain injury
Y Osmanlıoğlu, D Parker, JA Alappatt, JJ Gugger, RR Diaz‐Arrastia, ...
Human brain mapping 43 (13), 3944-3957, 2022
92022
Graph matching based connectomic biomarker with learning for brain disorders
RS Shen, JA Alappatt, D Parker, J Kim, R Verma, Y Osmanlıoğlu
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2020
82020
A graph based similarity measure for assessing altered connectivity in traumatic brain injury
Y Osmanlıoğlu, JA Alappatt, D Parker, J Kim, R Verma
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019
72019
NIMG-21. Differentiating tumor types based on the peritumoral microenvironment using convolutional neural networks
ZR Samani, D Parker, JA Alappatt, S Brem, R Verma
Neuro-Oncology 22 (Suppl 2), ii151, 2020
32020
A graph representation and similarity measure for brain networks with nodal features
Y Osmanlıoğlu, B Tunç, JA Alappatt, D Parker, J Kim, A Shokoufandeh, ...
Graphs in Biomedical Image Analysis and Integrating Medical Imaging and Non …, 2018
32018
NIMG-45. Deep learning-based peritumoral microstructure mapping in glioblastomas using free water volume fraction
ZR Samani, D Parker, JA Alappatt, S Brem, R Verma
Neuro-Oncology 22 (Suppl 2), ii157, 2020
22020
Deep learning-based peritumoral microstructure mapping in glioblastomas using free water volume fraction
ZR Samani, D Parker, JA Alappatt, S Brem, R Verma
Neuro-Oncology 22, 158-158, 2020
22020
Free water elimination is necessary to characterize Diffuse Axonal Injury in moderate Traumatic Brain Injury
J Alappatt, D Parker, AA Ould Ismail, J Kim, R Verma
Abstract presented at ISMRM 27th Annual Meeting Exhibition, 2019
22019
Analysis of consistency in structural and functional connectivity of human brain
Y Osmanlioğlu, JA Alappatt, D Parker, R Verma
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1694-1697, 2020
12020
Connectomic Assessment of Structural Network Alterations and Injury Burden in Moderate-to-severe Traumatic Brain Injury
Y Osmanlioglu, D Parker, J Alappatt, J Kim, R Verma
BRAIN INJURY 36, 86-86, 2022
2022
Music and Emotion. A Case for North Indian Classical Music
JM Valla, JA Alappatt, A Mathur, NC Singh
Ausdruck in der Musik, 553-575, 2021
2021
Correction to: Graph Matching Based Connectomic Biomarker with Learning for Brain Disorders
RS Shen, JA Alappatt, D Parker, J Kim, R Verma, Y Osmanlıoğlu
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2020
2020
QC-Aautomator: A deep learning based automated artifact detection in dMRI data
ZR Samani, J Alappatt, P Drew, R Verma
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20