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Asha Singanamalli
Asha Singanamalli
GE Global Research
Adresse e-mail validée de ge.com
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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
1082014
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
562018
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
422016
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), 8137, 2017
272017
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, and …, 2014
142014
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), 29906, 2016
112016
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, 37-50, 2013
82013
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, 832-839, 2020
42020
Selecting features with group-sparse nonnegative supervised canonical correlation analysis: multimodal prostate cancer prognosis
H Wang, A Singanamalli, S Ginsburg, A Madabhushi
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
32014
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, and …, 2020
22020
Improved noninvasive prostate cancer assessment using multiparametric magnetic resonance imaging
X Li, A Singanamalli, D Shanbhag, AM Hötker, O Aras, O Akin, R Bhagalia
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1199-1203, 2016
22016
Techniques for determining ultrasound probe motion
PW Lorraine, DA Shoudy, A Singanamalli
US Patent 11,911,213, 2024
2024
Systems and methods for image classification
Y Al-Kofahi, M MacDonald, A Singanamalli, M Yousefhussien, W Marshall
US Patent 11,798,270, 2023
2023
Delivery of therapeutic neuromodulation
A Singanamalli, DA Shoudy, JM Ashe, CM Puleo
US Patent App. 18/179,834, 2023
2023
Delivery of therapeutic neuromodulation
A Singanamalli, DA Shoudy, JM Ashe, CM Puleo
US Patent 11,602,331, 2023
2023
Automated detection and localization of bleeding
J Mitra, L Marinelli, A Singanamalli
US Patent 11,583,188, 2023
2023
Impact of tissue image segmentation errors on SAR
A Singanamalli, M Tarasek, Q Liu, D Yeo, T Foo
Proc. Intl. Soc. Mag. Reson. Med 26, 1466, 2018
2018
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
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