Asha Singanamalli

Publication Activity (10 Years)

Years Active: 2013-2020
Publications (10 Years): 4

Top Topics

Canonical Correlation Analysis

Prostate Cancer

Automated Segmentation

Top Venues

Medical Imaging: Image-Guided Procedures

IEEE Trans. Medical Imaging

Publications

Michael MacDonald, Theron R. Fennel, Asha Singanamalli, Nelly M. Cruz, Mohammad Yousefhussein, Yousef Al-Kofahi, Benjamin S. Freedman
Improved automated segmentation of human kidney organoids using deep convolutional neural networks. Medical Imaging: Image Processing (2020)
Asha Singanamalli, Jhimli Mitra, Kirk Wallace, Prem Venugopal, Scott Smith, Larry Mo, Lai Yee Leung, Jonathan Morrison, Todd Rasmussen, Luca Marinelli
Blood flow anomaly detection via generative adversarial networks: a preliminary study. Medical Imaging: Image-Guided Procedures (2020)
Xia Li, Asha Singanamalli, Dattesh Shanbhag, Andreas M. Hötker, Omer Aras, Oguz Akin, Roshni Bhagalia
Improved noninvasive prostate cancer assessment using multiparametric magnetic resonance imaging. ISBI (2016)
George Lee, Asha Singanamalli, Haibo Wang, Michael D. Feldman, Stephen R. Master, Natalie N. C. Shih, Elaine Spangler, Timothy R. Rebbeck, John Tomaszewski, Anant Madabhushi
Supervised Multi-View Canonical Correlation Analysis (sMVCCA): Integrating Histologic and Proteomic Features for Predicting Recurrent Prostate Cancer. IEEE Trans. Medical Imaging 34 (1) (2015)
Haibo Wang, Asha Singanamalli, Shoshana Ginsburg, Anant Madabhushi
Selecting Features with Group-Sparse Nonnegative Supervised Canonical Correlation Analysis: Multimodal Prostate Cancer Prognosis. MICCAI (3) (2014)
Asha Singanamalli, Rachel Sparks, Mirabela Rusu, Natalie Shih, Amy Ziober, John Tomaszewski, Mark Rosen, Michael D. Feldman, Anant Madabhushi
Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach. Medical Imaging: Digital Pathology (2013)