Vamsi Krishna Ithapu
Vamsi Krishna Ithapu
Research Scientist, Facebook Reality Labs
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
Deep learning for medical image analysis
SK Zhou, H Greenspan, D Shen
Academic Press, 2017
GOSUS: Grassmannian online subspace updates with structured-sparsity
J Xu, VK Ithapu, L Mukherjee, JM Rehg, V Singh
Proceedings of the IEEE international conference on computer vision, 3376-3383, 2013
Extracting and summarizing white matter hyperintensities using supervised segmentation methods in Alzheimer's disease risk and aging studies
VK Ithapu, V Singh, C Lindner, BP Austin, C Hinrichs, CM Carlsson, ...
Human brain mapping 35 (8), 4219-4235, 2014
Imaging-based enrichment criteria using deep learning algorithms for efficient clinical trials in mild cognitive impairment
VK Ithapu, V Singh, OC Okonkwo, RJ Chappell, NM Dowling, SC Johnson, ...
Alzheimer's & Dementia 11 (12), 1489-1499, 2015
Relative vascular permeability and vascularity across different regions of the rat nasal mucosa: implications for nasal physiology and drug delivery
NN Kumar, M Gautam, JJ Lochhead, DJ Wolak, V Ithapu, V Singh, ...
Scientific reports 6 (1), 1-14, 2016
SoundSpaces: Audio-Visual Navigation in 3D Environments
C Chen, U Jain, C Schissler, SV Amengual Gari, Z Al-Halah, VK Ithapu, ...
European Conference on Computer Vision (ECCV), 2020
An NMF perspective on binary hashing
L Mukherjee, SN Ravi, VK Ithapu, T Holmes, V Singh
Proceedings of the IEEE International Conference on Computer Vision, 4184-4192, 2015
Hypothesis testing in unsupervised domain adaptation with applications in Alzheimer’s disease
HH Zhou, SN Ravi, VK Ithapu, SC Johnson, G Wahba, V Singh
Advances in neural information processing systems 29, 2496, 2016
SeCoST: Sequential Co-Supervision for Weakly Labeled Audio Event Detection
A Kumar, VK Ithapu
IEEE International Conference on Acoustics, Speech, and Signal Processing …, 2020
On architectural choices in deep learning: From network structure to gradient convergence and parameter estimation
VK Ithapu, SN Ravi, V Singh
arXiv preprint arXiv:1702.08670, 2017
Experimental Design on a Budget for Sparse Linear Models and Applications
SN Ravi, VK Ithapu, SC Johnson, V Singh
Proceedings of The 33rd International Conference on Machine Learning, 583-592, 2016
Randomized denoising autoencoders for smaller and efficient imaging based AD clinical trials
VK Ithapu, V Singh, O Okonkwo, SC Johnson
International Conference on Medical Image Computing and Computer-Assisted …, 2014
Decoding the Deep: Exploring class hierarchies of deep representations using multiresolution matrix factorization
VK Ithapu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, -consistency and Neuroscience Applications
HH Zhou, Y Zhang, VK Ithapu, SC Johnson, G Wahba, V Singh
International Conference on Machine Learning, 2017
The Incremental Multiresolution Matrix Factorization Algorithm
VK Ithapu, R Kondor, SC Johnson, V Singh
Computer Vision and Pattern Recognition (CVPR), 2017
Speeding up permutation testing in neuroimaging
C Hinrichs, VK Ithapu, Q Sun, SC Johnson, V Singh
Advances in neural information processing systems, 890-898, 2013
A projection free method for generalized eigenvalue problem with a nonsmooth regularizer
SJ Hwang, MD Collins, SN Ravi, VK Ithapu, N Adluru, SC Johnson, ...
Proceedings of the IEEE International Conference on Computer Vision, 1841-1849, 2015
Accelerating permutation testing in voxel-wise analysis through subspace tracking: A new plugin for SnPM
F Gutierrez-Barragan, VK Ithapu, C Hinrichs, C Maumet, SC Johnson, ...
Neuroimage 159, 79-98, 2017
On the interplay of network structure and gradient convergence in deep learning
VK Ithapu, SN Ravi, V Singh
2016 54th Annual Allerton Conference on Communication, Control, and …, 2016
Medical Imaging System Providing Disease Prognosis
VK Ithapu, V Singh, SC Johnson, OC Okonkwo
US Patent App. 14/848,903, 2015
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Artikkelit 1–20