Biosketch / Results /

Florian Knoll

Assistant Professor, Department of Radiology

Contact Info

Address
660 First Avenue
New York, NY 10016

212/263-0335
Florian.Knoll@nyumc.org


A model-based reconstruction for undersampled radial spin-echo DTI with variational penalties on the diffusion tensor
Knoll, Florian; Raya, Jose G; Halloran, Rafael O; Baete, Steven; Sigmund, Eric; Bammer, Roland; Block, Tobias; Otazo, Ricardo; Sodickson, Daniel K. A model-based reconstruction for undersampled radial spin-echo DTI with variational penalties on the diffusion tensor. NMR in biomedicine. 2015 Jan 16;28(3):353-366 (1436482)

The rapid imaging renaissance: sparser samples, denser dimensions, and glimmerings of a grand unified tomography
Sodickson, Daniel K; Feng, Li; Knoll, Florian; Cloos, Martijn; Ben-Eliezer, Noam; Axel, Leon; Chandarana, Hersh; Block, Tobias; Otazo, Ricardo. The rapid imaging renaissance: sparser samples, denser dimensions, and glimmerings of a grand unified tomography [Meeting Abstract]. Proceedings of SPIE (The International Society for Optical Engineering). 2015 ;9417:?-? (2061802)

Gibbs ringing in diffusion MRI
Veraart, Jelle; Fieremans, Els; Jelescu, Ileana O; Knoll, Florian; Novikov, Dmitry S. Gibbs ringing in diffusion MRI. Magnetic resonance in medicine. 2015 Aug 10;76(1):301-314 (1721592)

Positive contrast of SPIO-labeled cells by off-resonant reconstruction of 3D radial half-echo bSSFP
Diwoky, Clemens; Liebmann, Daniel; Neumayer, Bernhard; Reinisch, Andreas; Knoll, Florian; Strunk, Dirk; Stollberger, Rudolf. Positive contrast of SPIO-labeled cells by off-resonant reconstruction of 3D radial half-echo bSSFP. NMR in biomedicine. 2014 Nov 7;28(1):79-88 (1499312)

Joint reconstruction of simultaneously acquired MR-PET data with multi sensor compressed sensing based on a joint sparsity constraint
Knoll, Florian; Koesters, Thomas; Otazo, Ricardo; Block, Tobias; Feng, Li; Vunckx, Kathleen; Faul, David; Nuyts, Johan; Boada, Fernando; Sodickson, Daniel K. Joint reconstruction of simultaneously acquired MR-PET data with multi sensor compressed sensing based on a joint sparsity constraint. EJNMMI physics. 2014 Jul ;1(Suppl 1):A26-A26 A26 (1816702)