Asha Singanamalli
Asha Singanamalli
GE Global Research
Verified email at ge.com
Title
Cited by
Cited by
Year
Supervised multi-view canonical correlation analysis (sMVCCA): Integrating histologic and proteomic features for predicting recurrent prostate cancer
G Lee, A Singanamalli, H Wang, MD Feldman, SR Master, NNC Shih, ...
IEEE transactions on medical imaging 34 (1), 284-297, 2014
742014
Identifying the morphologic basis for radiomic features in distinguishing different Gleason grades of prostate cancer on MRI: Preliminary findings
G Penzias, A Singanamalli, R Elliott, J Gollamudi, N Shih, M Feldman, ...
PloS one 13 (8), e0200730, 2018
292018
Identifying in vivo DCE MRI markers associated with microvessel architecture and gleason grades of prostate cancer
A Singanamalli, M Rusu, RE Sparks, NNC Shih, A Ziober, LP Wang, ...
Journal of Magnetic Resonance Imaging 43 (1), 149-158, 2016
222016
Cascaded multi-view canonical correlation (CaMCCo) for early diagnosis of Alzheimer’s disease via fusion of clinical, imaging and omic features
A Singanamalli, H Wang, A Madabhushi
Scientific reports 7 (1), 1-14, 2017
162017
Supervised multi-view canonical correlation analysis: Fused multimodal prediction of disease diagnosis and prognosis
A Singanamalli, H Wang, G Lee, N Shih, M Rosen, S Master, ...
Medical Imaging 2014: Biomedical Applications in Molecular, Structural, andá…, 2014
122014
Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach
A Singanamalli, R Sparks, M Rusu, N Shih, A Ziober, J Tomaszewski, ...
Medical Imaging 2013: Digital Pathology 8676, 867604, 2013
82013
AutoStitcher: An automated program for efficient and robust reconstruction of digitized whole histological sections from tissue fragments
G Penzias, A Janowczyk, A Singanamalli, M Rusu, N Shih, M Feldman, ...
Scientific reports 6 (1), 1-13, 2016
72016
Improved noninvasive prostate cancer assessment using multiparametric magnetic resonance imaging
X Li, A Singanamalli, D Shanbhag, AM H÷tker, O Aras, O Akin, R Bhagalia
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1199-1203, 2016
32016
Selecting features with group-sparse nonnegative supervised canonical correlation analysis: multimodal prostate cancer prognosis
H Wang, A Singanamalli, S Ginsburg, A Madabhushi
International Conference on Medical Image Computing and Computer-Assistedá…, 2014
32014
Improved automated segmentation of human kidney organoids using deep convolutional neural networks
M MacDonald, TR Fennel, A Singanamalli, NM Cruz, M Yousefhussein, ...
Medical Imaging 2020: Image Processing 11313, 113133B, 2020
12020
Delivery of therapeutic neuromodulation
A Singanamalli, DA Shoudy, JM Ashe, CM Puleo
US Patent App. 16/567,996, 2021
2021
Techniques for determining ultrasound probe motion
PW Lorraine, DA Shoudy, A Singanamalli
US Patent App. 16/430,108, 2020
2020
Automated detection and localization of bleeding
J Mitra, L Marinelli, A Singanamalli
US Patent App. 16/357,023, 2020
2020
Blood flow anomaly detection via generative adversarial networks: a preliminary study
A Singanamalli, J Mitra, K Wallace, P Venugopal, S Smith, L Mo, ...
Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, andá…, 2020
2020
Identifying the Histomorphometric Basis of MRI Radiomic Features in Distinguishing Gleason Grades of Prostate Cancer
G Penzias, A Singanamalli, R Elliott, J Gollamudi, N Shih, M Feldman, ...
LABORATORY INVESTIGATION 97, 400A-401A, 2017
2017
AutoStitcherTM: An Automated Program for Accurate Reconstruction of Digitized Whole Histological Sections From Tissue Fragments
G Penzias, A Janowczyk, A Singanamalli, M Rusu, N Shih, M Feldman, ...
MODERN PATHOLOGY 28, 400A-401A, 2015
2015
Annotation, Enrichment and Fusion of Multiscale Data: Identifying High Risk Prostate Cancer
A Singanamalli
Case Western Reserve University, 2014
2014
Computer extracted image texture features on T2-weighted MRI appear to correlate with nuclear morphologic descriptors from H&E-stained histopathology in estrogen receptorá…
A Madabhushi, AN Basavanhally, S Doyle, T Wan, A Singanamalli, ...
CANCER RESEARCH 73, 2013
2013
Abstract P2-03-01: Computer extracted image texture features on T2-weighted MRI appear to correlate with nuclear morphologic descriptors from H&E-stained histopathology iná…
A Madabhushi, AN Basavanhally, S Doyle, T Wan, A Singanamalli, ...
Cancer Research 73 (24 Supplement), P2-03-01-P2-03-01, 2013
2013
Finite Element Analysis of the Anatomy of Acupuncture Points
DI Shreiber, A Singanamalli, M Julias, HM Buettner
Summer Bioengineering Conference 48913, 695-696, 2009
2009
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Articles 1–20