Biosketch / Results /

Hersh Chandarana

Associate Professor, Department of Radiology
Section Chief, Division of Body Imaging

Contact Info

212/263-7729

Research Keywords

imaging

3D printed renal cancer models derived from MRI data: application in pre-surgical planning
Wake, Nicole; Rude, Temitope; Kang, Stella K; Stifelman, Michael D; Borin, James F; Sodickson, Daniel K; Huang, William C; Chandarana, Hersh. 3D printed renal cancer models derived from MRI data: application in pre-surgical planning. Abdominal radiology. 2017 Jan 7;:?-? (2386992)

Compressed sensing for body MRI
Feng, Li; Benkert, Thomas; Block, Kai Tobias; Sodickson, Daniel K; Otazo, Ricardo; Chandarana, Hersh. Compressed sensing for body MRI. Journal of magnetic resonance imaging. 2016 Dec 16;:?-? (2363682)

Reporting standards for the imaging-based diagnosis of renal masses on CT and MRI: a national survey of academic abdominal radiologists and urologists
Davenport, Matthew S; Hu, Eric M; Smith, Andrew D; Chandarana, Hersh; Hafez, Khaled; Palapattu, Ganesh S; Stuart Wolf, J Jr; Silverman, Stuart G. Reporting standards for the imaging-based diagnosis of renal masses on CT and MRI: a national survey of academic abdominal radiologists and urologists. Abdominal radiology. 2016 Nov 22;:?-? (2314462)

Free-Breathing Volumetric Fat/Water Separation by Combining Radial Sampling, Compressed Sensing, and Parallel Imaging
Benkert, Thomas; Feng, Li; Sodickson, Daniel K; Chandarana, Hersh; Block, Kai Tobias. Free-Breathing Volumetric Fat/Water Separation by Combining Radial Sampling, Compressed Sensing, and Parallel Imaging. Magnetic resonance in medicine. 2016 Sep 9;:?-? (2238792)

Three-dimensional MR Cholangiopancreatography in a Breath Hold with Sparsity-based Reconstruction of Highly Undersampled Data
Chandarana, Hersh; Doshi, Ankur M; Shanbhogue, Alampady; Babb, James S; Bruno, Mary T; Zhao, Tiejun; Raithel, Esther; Zenge, Michael O; Li, Guobin; Otazo, Ricardo. Three-dimensional MR Cholangiopancreatography in a Breath Hold with Sparsity-based Reconstruction of Highly Undersampled Data. Radiology. 2016 Aug;280(2):585-594 (2031992)