Satyananda Kashyap  Satyananda Kashyap photo         

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Research Staff Member
Almaden Research Center, San Jose, CA, USA
  +1dash4089271947

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2021

Channel Scaling: A Scale-and-Select Approach for Transfer Learning
Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi
arXiv: Computer Vision and Pattern Recognition, 2021
Abstract   artificial neural network, thresholding, feature, channel, transfer of learning, scaling, scale, pattern recognition, layer, computer science, artificial intelligence

Convolutional autoencoder based model HistoCAE for segmentation of viable tumor regions in liver whole-slide images
Mousumi Roy, Jun Kong, Satyananda Kashyap, Vito Paolo Pastore, Fusheng Wang, Ken C L Wong, Vandana Mukherjee
Scientific Reports 11(1), 139-139, Nature Publishing Group, 2021
Abstract   digital pathology, feature, autoencoder, segmentation, iterative reconstruction, deep learning, cancer, liver cancer, hepatocellular carcinoma, pattern recognition, chemoradiotherapy, histopathology, causes of cancer, computer science, artificial intellig

Creation and validation of a chest X-ray dataset with eye-tracking and report dictation for AI development
Alexandros Karargyris, Satyananda Kashyap, Ismini Lourentzou, Ismini Lourentzou, Joy T. Wu, Arjun Sharma, Matthew Tong, Shafiq Abedin, David Beymer, Vandana Mukherjee, Elizabeth A. Krupinski, Mehdi Moradi
Scientific Data 8(1), 1-18, Nature Publishing Group, 2021
Abstract   eye tracking, dictation, deep learning, natural language processing, computer science, artificial intelligence, disease classification, radiology report


2020

Chest X-ray Report Generation through Fine-Grained Label Learning
Tanveer Syeda-Mahmood, Ken C. L. Wong, Yaniv Gur, Joy T. Wu, Ashutosh Jadhav, Satyananda Kashyap, Alexandros Karargyris, Anup Pillai, Arjun Sharma, Ali Bin Syed, Orest Boyko, Mehdi Moradi
Medical Image Computing and Computer-Assisted Interaction (MICCAI), 2020

Looking in the Right Place for Anomalies: Explainable Ai Through Automatic Location Learning
S. Kashyap, A. Karargyris, J. Wu, Y. Gur, A. Sharma, K. C. L. Wong, M. Moradi, T. Syeda-Mahmood
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), pp. 1125-1129

Self-Training with Improved Regularization for Sample-Efficient Chest X-Ray Classification
Deepta Rajan, Jayaraman J. Thiagarajan, Alexandros Karargyris, Satyananda Kashyap
arXiv preprint arXiv:2005.02231, 2020
Abstract   deep learning, small data, machine learning, medical imaging, key, class, sample, computer science, regularization, artificial intelligence, self training

Learning Invariant Feature Representation to Improve Generalization across Chest X-ray Datasets
Sandesh Ghimire, Sandesh Ghimire, Satyananda Kashyap, Joy T. Wu, Alexandros Karargyris, Mehdi Moradi
arXiv preprint arXiv:2008.04152, 2020
Abstract   population, deep learning, generalization, machine learning, representation, forcing, computer science, image, radiography, artificial intelligence, invariant feature, training set

LOGISMOS-JEI: Segmentation using optimal graph search and just-enough interaction
Honghai Zhang, Kyungmoo Lee, Zhi Chen, Satyananda Kashyap, Milan Sonka
2020
Abstract   segmentation, pattern recognition, market segmentation, image segmentation, graph, global optimality, computer science, artificial intelligence, analysis method


2019

Visual Dialog for Radiology: Data Curation and FirstSteps
Olga Kovaleva, Chaitanya Shivade, Satyananda Kashyap, Karina Kanjaria, Adam Coy, Deddeh Ballah, Yufan Guo, Joy T. Wu, Alexandros Karargyris, David Beymer, Anna Rumshisky, Vandana Mukherjee
ViGIL@NeurIPS, 2019
world wide web, dialog box, data curation, computer science

Automatic creation of imaging story boards from medical imaging studies
Beymer David J, Dehghan Marvast Ehsan, El Harouni Ahmed, Gur Yaniv, Kashyap Satyananda, Moradi Mehdi, Syeda-Mahmood Tanveer F
2019
medical physics, medical imaging, engineering

Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays
T. Syeda-Mahmood, H. Ahmad, N. Ansari, Y. Gur, S. Kashyap, A. Karargyris, M. Moradi, A. Pillai, K. Seshadhri, W. Wang, K. C. L. Wong, J. Wu
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), pp. 863-867

Artificial intelligence for point of care radiograph quality assessment
Satyananda Kashyap, Mehdi Moradi, Alexandros Karargyris, Joy T. Wu, Michael Morris, Babak Saboury, Eliot Siegel, Tanveer Syeda-Mahmood
SPIE Medical Imaging 10950, 2019

Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation
Jayaraman J. Thiagarajan, Satyananda Kashyap, Alexandros Karargyris
arXiv preprint arXiv:1907.12926, 2019
Abstract   segmentation, repurposing, regularization, pixel, pattern recognition, machine learning, empirical research, distillation, computer science, artificial intelligence

Age prediction using a large chest x-ray dataset
A. Karargyris, S. Kashyap, J. T. Wu, A. Sharma, M. Moradi, T. Syeda-Mahmood
SPIE Medical Imaging 10950, 2019


2018

Learning-Based Cost Functions for 3-D and 4-D Multi-Surface Multi-Object Segmentation of Knee MRI: Data From the Osteoarthritis Initiative
Kashyap, Satyananda and Zhang, Honghai and Rao, Karan and Sonka, Milan
IEEE transactions on medical imaging 37(5), 1103--1113, IEEE, 2018
Abstract


2017

Accurate Fully Automated 4D Segmentation of Osteoarthritic Knee MRI
Kashyap, S and Zhang, H and Sonka, M
Osteoarthritis and Cartilage25, S227--S228, Elsevier, 2017
Abstract

Just Enough Interaction for Fast Minimally Interactive Correction of 4D Segmentation of Knee MRI
Kashyap, S and Zhang, H and Sonka, M
Osteoarthritis and Cartilage25, S224--S225, Elsevier, 2017
Abstract

Automated Prediction of Cartilage Thickness Changes in OAI MR Dataset
Kashyap, S and Wahle, A and Zhang, H and Sonka, M
Osteoarthritis and Cartilage25, S225--S226, Elsevier, 2017
Abstract

Machine learning in a graph framework for subcortical segmentation
Guo, Zhihui and Kashyap, Satyananda and Sonka, Milan and Oguz, Ipek
Medical Imaging 2017: Image Processing, pp. 101330H
Abstract


2016

LOGISMOS: A Family of Graph-Based Optimal Image Segmentation Methods
Oguz, I and Bogunovi{\'c}, H and Kashyap, S and Abr{\`a}moff, MD and Wu, X and Sonka, M
Medical Image Recognition, Segmentation and Parsing, pp. 179--208, Elsevier, 2016
Abstract

Statistical shape analysis of automatically segmented femur bones: Data from the osteoarthritis initiative
Kashyap, Satyananda and Oguz, Ipek and Sonka, Milan
Biomedical Imaging (ISBI), 2016 IEEE 13th International Symposium on, pp. 651--655
Abstract

Quantitative analysis and segmentation of knee MRI using layered optimal graph segmentation of multiple objects and surfaces
Kashyap, Satyananda
Ph.D. Thesis, 2016
Abstract

Globally optimal label fusion with shape priors
Oguz, Ipek and Kashyap, Satyananda and Wang, Hongzhi and Yushkevich, Paul and Sonka, Milan
International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 538--546, 2016
Abstract

Automated segmentation of knee MRI using hierarchical classifiers and just enough interaction based learning: Data from osteoarthritis initiative
Kashyap, Satyananda and Oguz, Ipek and Zhang, Honghai and Sonka, Milan
International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 344--351, 2016
Abstract


2014

Automated Algorithm for 3D MR Segmentation and Sub-plate Detection in 3D MRI-data from the Osteoarthritis Initiative
Kashyap, S and Sonka, M
The 7th OARSI International Workshop on Osteoarthritis Imaging, 2014
Abstract


2013

Automated analysis of cartilage morphology
Kashyap, Satyananda and Yin, Yin and Sonka, Milan
Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on, pp. 1300--1303
Abstract


2011

Non-iterative regularized reconstruction algorithm for non-Cartesian MRI: NIRVANA
Kashyap, Satyananda and Yang, Zhili and Jacob, Mathews
Magnetic resonance imaging 29(2), 222--229, Elsevier, 2011


2010

A fast & accurate non-iterative algorithm for regularized non-Cartesian MRI
Satyananda Kashyap, Mathews Jacob
2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp. 265-268
Abstract   undersampling, tikhonov regularization, pattern recognition, least squares, iterative reconstruction, iterative method, conjugate gradient method, computer science, computational complexity theory, artificial intelligence, approximation algorithm

A fast \& accurate non-iterative algorithm for regularized non-Cartesian MRI
Kashyap, Satyananda and Jacob, Mathews
Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on, pp. 265--268
Abstract

A Fast and Accurate Algorithm for Regularized Reconstruction of Non-Cartesian MRI
Kashyap, Satyananda
2010 - University of Rochester. Department …


Year Unknown

Just-Enough Interaction Approach to Knee MRI Segmentation: Data from the Osteoarthritis Initiative
Kashyap, Satyananda and Zhang, Honghai and Sonka, Milan
researchgate.net, 0
Abstract