Nicholas Dwork

I am very excited about advanced mathematics applied to medical technology. In particular, I am most interested in applications of optimization to medical imaging. Most of my research has focused on Magnetic Resonance Imaging (MRI); I have also worked on Optical Coherence Tomography (OCT) and other imaging technologies. I also enjoy teaching and do so regularly.


Journal Papers

07/2018

Automatically Determining the Confocal Parameters from OCT B-Scans for Quantification of the Attenuation Coefficients

     N. Dwork, G. Smith, T. Leng, J. Pauly, A. Bowden

     Accepted for Publication in IEEE Transactions on Medical Image Processing

09/2017

02/2017

03/2016

Robust Dipstick Urinalysis Using a Low-cost, Micro-volume Slipping Manifold and Mobile Phone Platform

     G. Smith, N. Dwork, S. Khan, M. Millet, K. Magar, M. Javanmard, A. Ellerbee-Bowden

     Lab on a Chip (Featured on the Back Cover)

12/2015


Conferences and Presentations

06/2018

A Spoiled Gradient Sequence for Simultaneously Measuring B1+, B0, T1, T2, T2*, and Velocity of a Two-Dimensional Slice

     N. Dwork, A. Kerr, J. Pauly

     2018 ISMRM Conference (Electronic Poster)

06/2018

Nonrigid Motion Correction using 3D iNAVs with Generalized Motion Compensated Reconstruction and Autofocusing

     S. Koundinyan, C. Baron, N. Dwork, J. Cheng, D. Nishimura

     2018 ISMRM Conference (Oral Presentation, Granted Magna Cum Laude Award)

04/2018

Automatically Detecting Disease Markers with Optical Coherence Tomography

     N. Dwork, G. Smith, J. Pauly, A. Bowden

     2018 BCATS Symposium (Awarded First Place for Poster Session)

04/2017

A Least Squares Optimal Density Compensation Function for Gridding

     N. Dwork, C. Baron, E. Johnson, A. Kerr, D. Nishimura, J. Pauly

     2017 ISMRM Conference (Electronic Poster)

04/2017

04/2017

04/2017

Rapid Non-Cartesian Regularized SENSE Reconstruction using a Point Spread Function Model

     C. A. Baron, N. Dwork, J. Pauly, D. Nishimura

     2017 ISMRM Conference (Electronic Poster)

01/2017

Reducing User Error in Dipstick Urinalysis with a Low-Cost Slipping Manifold and Mobile Phone Platform

     G. Smith, N. Dwork, S. A. Khan, M. Millet, K. Magar, M. Javanmard, and A. Ellerbee-Bowden

     2017 SPIE Photonics West (Invited Presentation)

06/2016

Automated Estimation of OCT Confocal Function Parameters from two B-Scans

     N. Dwork, G. Smith, J. Pauly, and A. Ellerbee-Bowden

     2016 Conference on Lasers and Electro-Optics (CLEO) (Oral Presentation)

06/2016

Using Cellular Automata to Represent MRI Signal Progression

     N. Dwork, B. Hargreaves, J. Pauly

     2016 ISMRM Conference (Electronic Poster)

06/2015

Using Optical Flow to Estimate Displacement Between 3D Navigators in Coronary Angiography

     N. Dwork, D. O'Connor, N. Addy, R. Ingle, J. Pauly, and D. Nishimura

     2015 ISMRM Conference (Poster)

06/2014

Extraction of the Attenuation Coefficient from OCT Data

     N. Dwork, G. Smith, D. O'Connor, U. Sikora, K. Lurie, J. Pauly, and A. Ellerbee

     NIBIB National Training Meeting (Poster)


Patents

03/2017

Point-of-care Sample Analysis and Microscopy for Liquid Samples

     A. Bowden, N. Dwork, M. Javanmard, S. Khan, K. Magar, M. Millet, G. Smith

     United States Patent Application 20170262694

01/2014

Refined Optical System

     D. Campion, D. Kane, N. Dwork, M. Pohlman, and R. Potter

     US 8624177 B2


Acknowledged In

06/2017

Speckle-modulating Optical Coherence Tomgoraphy in Living Mice and Humans

     O. Liba, M. Lew, E. SoRelle, R. Dutta, D. Sen, D. Moshfeghi, S. Chu, A. Zerda

     Nature Communications


Teaching

07/2018

Stanford International Institutes - Introduction to Encryption

07/2017
07/2017

Stanford International Institutes - Introduction to Encryption

07/2016
06/2016
07/2015

Fellowships and Grants

2017
2014

NIH T32: Cardiovascular Imaging with Magnetic Resonance at Stanford University

2013

Electrical Engineering Department New Projects Graduate Fellowship (Stanford University)

2013

Oswald G. Villard Jr. Engineering Fellowship

2013
2012
2012

Tutorials

06/2018
05/2018
12/2016
08/2016
03/2016
01/2016
12/2015
08/2014
08/2012

Press

05/23/2016
05/18/2016
05/17/2016
05/17/2016
05/16/2016
05/16/2016
05/16/2016

Software

CT Reconstruction Code (Matlab)

A set of codes for working with CT data. Permits the user to supply the number of detectors, the angle corresponding to each row of the sinogram, the region to be reconstructed, and other parameters.