Asha Singanamalli

According to our database, Asha Singanamalli authored at least 6 papers between 2013 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Improved automated segmentation of human kidney organoids using deep convolutional neural networks.

Michael MacDonald, Theron R. Fennel, Asha Singanamalli, Nelly M. Cruz, Mohammad Yousefhussein, Yousef Al-Kofahi, Benjamin S. Freedman

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Blood flow anomaly detection via generative adversarial networks: a preliminary study.

Asha Singanamalli, Jhimli Mitra, Kirk Wallace, Prem Venugopal, Scott Smith, Larry Mo, Lai Yee Leung, Jonathan Morrison, Todd Rasmussen, Luca Marinelli

Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020

2016

Improved noninvasive prostate cancer assessment using multiparametric magnetic resonance imaging.

Xia Li, Asha Singanamalli, Dattesh Shanbhag, Andreas M. Hötker, Omer Aras, Oguz Akin, Roshni Bhagalia

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

Supervised Multi-View Canonical Correlation Analysis (sMVCCA): Integrating Histologic and Proteomic Features for Predicting Recurrent Prostate Cancer.

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

IEEE Trans. Medical Imaging, 2015

2014

Selecting Features with Group-Sparse Nonnegative Supervised Canonical Correlation Analysis: Multimodal Prostate Cancer Prognosis.

Haibo Wang, Asha Singanamalli, Shoshana Ginsburg, Anant Madabhushi

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013

Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach.

Asha Singanamalli, Rachel Sparks, Mirabela Rusu, Natalie Shih, Amy Ziober, John Tomaszewski, Mark Rosen, Michael D. Feldman, Anant Madabhushi

Proceedings of the Medical Imaging 2013: Digital Pathology, 2013