Satish Viswanath
Orcid: 0000-0003-4550-8337
According to our database1,
Satish Viswanath
authored at least 41 papers
between 2008 and 2023.
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Bibliography
2023
CohortFinder: an open-source tool for data-driven partitioning of biomedical image cohorts to yield robust machine learning models.
CoRR, 2023
Integrating multi-plane and multi-region radiomic features to predict pathologic response to neoadjuvant chemoradiation in rectal cancers via pre-treatment MRI.
Proceedings of the Medical Imaging 2023: Image-Guided Procedures, 2023
2022
RADIomic Spatial TexturAl Descriptor (RADISTAT): Quantifying Spatial Organization of Imaging Heterogeneity Associated With Tumor Response to Treatment.
IEEE J. Biomed. Health Informatics, 2022
Identifying radiomic features associated with disease activity, patient outcomes, and serum phenotypes in pediatric Crohn's disease via MRI.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022
Residual Wavelon Convolutional Networks for Characterization of Disease Response on MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Deep hybrid convolutional wavelet networks: application to predicting response to chemoradiation in rectal cancers via MRI.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
2021
Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracy.
CoRR, 2021
SPARTA: An Integrated Stability, Discriminability, and Sparsity Based Radiomic Feature Selection Approach.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Texture kinetic features from pre-treatment DCE MRI for predicting pathologic tumor stage regression after neoadjuvant chemoradiation in rectal cancers.
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020
Multi-site evaluation of stable radiomic features for more accurate evaluation of pathologic downstaging on MRI after chemoradiation for rectal cancers.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study.
BMC Medical Imaging, 2019
Radiomic characterization of perirectal fat on MRI enables accurate assessment of tumor regression and lymph node metastasis in rectal cancers after chemoradiation.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
Integrating radiomic features from T2-weighted and contrast-enhanced MRI to evaluate pathologic rectal tumor regression after chemoradiation.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
Region-specific fully convolutional networks for segmentation of the rectal wall on post-chemoradiation T2w MRI.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
STructural Rectal Atlas Deformation (StRAD) Features for Characterizing Intra- and Peri-wall Chemoradiation Response on MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Differentiating Cancerous and Non-cancerous Prostate Tissue Using Multi-scale Texture Analysis on MRI.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Automated segmentation and radiomic characterization of visceral fat on bowel MRIs for Crohn's disease.
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018
Empirical evaluation of cross-site reproducibility in radiomic features for characterizing prostate MRI.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
2017
Dimensionality reduction-based fusion approaches for imaging and non-imaging biomedical data: concepts, workflow, and use-cases.
BMC Medical Imaging, 2017
RADIomic Spatial TexturAl descripTor (RADISTAT): Characterizing Intra-tumoral Heterogeneity for Response and Outcome Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2016
Multi-modality registration via multi-scale textural and spectral embedding representations.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
2014
Identifying quantitative in vivo multi-parametric MRI features for treatment related changes after laser interstitial thermal therapy of prostate cancer.
Neurocomputing, 2014
Distinguishing benign confounding treatment changes from residual prostate cancer on MRI following laser ablation.
Proceedings of the Medical Imaging 2014: Image-Guided Procedures, 2014
2013
Quantitative evaluation of treatment related changes on multi-parametric MRI after laser interstitial thermal therapy of prostate cancer.
Proceedings of the Medical Imaging 2013: Image-Guided Procedures, 2013
Discriminatively weighted multi-scale Local Binary Patterns: Applications in prostate cancer diagnosis on T2W MRI.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
Consensus embedding: theory, algorithms and application to segmentation and classification of biomedical data.
BMC Bioinform., 2012
2011
Weighted Combination of Multi-Parametric MR Imaging Markers for Evaluating Radiation Therapy Related Changes in the Prostate.
Proceedings of the Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions, 2011
Empirical evaluation of bias field correction algorithms for computer-aided detection of prostate cancer on T2w MRI.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Enhanced multi-protocol analysis via intelligent supervised embedding (EMPrAvISE): detecting prostate cancer on multi-parametric MRI.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
CADOnc ©: An integrated toolkit for evaluating radiation therapy related changes in the prostate using multiparametric MRI.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Multi-modal data fusion schemes for integrated classification of imaging and non-imaging biomedical data.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Interplay between bias field correction, intensity standardization, and noise filtering for T2-weighted MRI.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
Computer-assisted targeted therapy (CATT) for prostate radiotherapy planning by fusion of CT and MRI.
Proceedings of the Medical Imaging 2010: Visualization, 2010
2009
COLLINARUS: collection of image-derived non-linear attributes for registration using splines.
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Integrating structural and functional imaging for computer assisted detection of prostate cancer on multi-protocol in vivo 3 Tesla MRI.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009
2008
A Comprehensive Segmentation, Registration, and Cancer Detection Scheme on 3 Tesla In VivoProstate DCE-MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
A meta-classifier for detecting prostate cancer by quantitative integration of in vivo magnetic resonance spectroscopy and magnetic resonance imaging.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
A consensus embedding approach for segmentation of high resolution in vivo prostate magnetic resonance imagery.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008
Improving supervised classification accuracy using non-rigid multimodal image registration: detecting prostate cancer.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008