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Anasuya Das
Anasuya Das
Post-doctoral fellow, New York University
Dirección de correo verificada de nyu.edu
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Beyond blindsight: properties of visual relearning in cortically blind fields
A Das, D Tadin, KR Huxlin
Journal of Neuroscience 34 (35), 11652-11664, 2014
1212014
New approaches to visual rehabilitation for cortical blindness: outcomes and putative mechanisms
A Das, KR Huxlin
The Neuroscientist 16 (4), 374-387, 2010
1202010
Visual recovery in cortical blindness is limited by high internal noise
MR Cavanaugh, R Zhang, MD Melnick, A Das, M Roberts, D Tadin, ...
Journal of vision 15 (10), 9-9, 2015
552015
Spared perilesional V1 activity underlies training-induced recovery of luminance detection sensitivity in cortically-blind patients
A Barbot, A Das, MD Melnick, MR Cavanaugh, EP Merriam, DJ Heeger, ...
Nature communications 12 (1), 6102, 2021
302021
Visual cortical activity reflects faster accumulation of information from cortically blind fields
T Martin, A Das, KR Huxlin
Brain 135 (11), 3440-3452, 2012
262012
Role of inter-hemispheric transfer in generating visual evoked potentials in V1-damaged brain hemispheres
V Kavcic, RL Triplett, A Das, T Martin, KR Huxlin
Neuropsychologia 68, 82-93, 2015
232015
Different properties of visual relearning after damage to early versus higher-level visual cortical areas
A Das, M DeMagistris, KR Huxlin
Journal of Neuroscience 32 (16), 5414-5425, 2012
152012
Changes in perilesional V1 underlie training-induced recovery in cortically-blind patients
A Barbot, A Das, MD Melnick, MR Cavanaugh, EP Merriam, DJ Heeger, ...
bioRxiv, 2020.02. 28.970285, 2020
82020
Retinal vasculature: structure and pathologies
A Das, J Byrd
Academic Press, 2014
72014
Pre-training cortical activity preserved after V1 damage predicts sites of training-induced visual recovery
A Barbot, M Melnick, M Cavanaugh, A Das, E Merriam, D Heeger, ...
Journal of Vision 17 (15), 17-17, 2017
52017
Using Machine Learning to Recommend Oncology Clinical Trials
A Das, L Thorbergosson, A Griogorenko, D Sontag, I Huerga
Decision Making 15, 28, 2015
42015
Visual recovery in chronic cortically-blind patients relies on spared cortical activity and increased V1 coverage of the blind field
A Barbot, M Melnick, M Cavanaugh, A Das, E Merriam, D Heeger, ...
Journal of Vision 18 (10), 1074-1074, 2018
32018
Visual motion retraining of a cortically-blind field increases BOLD responses in peri-lesional cortex and MT+-a case study
T Martin, A Das, K Huxlin
Journal of Vision 9 (8), 666-666, 2009
22009
Chemical Recovery by Gasification of Non-Wood Pulp Liquors
B AghaMohammadi, AK Das, MN Mansour, K Durai-Swamy
TAPPI PULPING CONFERENCE, 261-261, 1993
21993
Efficient extraction of pathologies from C-Spine radiology reports using multi-task learning
A Sehanobish, N Brown, I Daga, J Pawar, D Torres, A Das, M Becker, ...
Multimodal AI in healthcare: A paradigm shift in health intelligence, 335-346, 2022
12022
Explaining the effectiveness of multi-task learning for efficient knowledge extraction from spine mri reports
A Sehanobish, MC Sandora, N Abraham, J Pawar, D Torres, A Das, ...
arXiv preprint arXiv:2205.02979, 2022
12022
Introduction to NIPS 2017 Competition Track
S Escalera, M Weimer, M Burtsev, V Malykh, V Logacheva, R Lowe, ...
The NIPS'17 Competition: Building Intelligent Systems, 1-23, 2018
12018
Going beyond blindsight: Properties of recovered vision in cortically blind fields
A Das, D Tadin, K Huxlin
Journal of Vision 14 (10), 660-660, 2014
12014
Meta-learning of pathologies from radiology reports using variance-aware prototypical networks
A Sehanobish, K Kannan, N Abraham, A Das, B Odry
US Patent App. 18/226,008, 2024
2024
Meta-learning Pathologies from Radiology Reports using Variance Aware Prototypical Networks
A Sehanobish, K Kannan, N Abraham, A Das, B Odry
arXiv preprint arXiv:2210.13979, 2022
2022
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Artículos 1–20