RSL Researchers Earn Doctoral Degrees

Congratulations, you made it!

Kasra Naftchi-Ardebili, PhD

May 28, 2024

Kasra Naftchi-Ardebili, Department of Bioengineering

Kim Butts Pauly, advisor

Transcranial Ultrasound Stimulation: Optimizing Simulation Paradigms and Modulation of the Neurons

Dave van Veen, PhD

May 24, 2024

David van Veen, Department of Electrical Engineering

John Pauly and Akshay Chaudhari, advisors

Date-Efficient Machine Learning for Image Reconstruction and Text Summarization in Biomedicine

Juan Manuel Zambrano, MD, PhD

May 22, 2024

Juan Manuel Zambrano Chaves, Department of Biomedical Data Science

Daniel Rubin, Akshay Chaudhari and Curt Langlotz, advisors

Development and Evaluation of Representations of Unstructured Radiology Data

Gustavo Chau, PhD

July 2024

Gustavo Ramon Chau Loo Kung

Coming soon!

Jiahong Ouyang, PhD

April 11, 2024

Jiahong Ouyang, Department of Electrical Engineering

Greg Zaharchuk and Kilian M. Pohl, Advisors

Multi-dimensional Neuroimage Analysis

Arjun Desai, PhD

June 22, 2023

Arjun Desai, Department of Electrical Engineering

Akshay Chaudhari and Chris Re,  Advisors

Principles for Machine Learning Systems in MRI: From Development to Deployment

Fikunwa Kolawole, PhD

June 1, 2023

Fikunwa Kolawole, Department of Mechanical Engineering

Daniel Ennis, advisor

MRI-driven Evaluation of Passive Myocardial Stiffness

Ningrui Li, PhD

February 14, 2023

Ningrui Li, Department of Electrical Engineering

Kim Butts Pauly, Advisor

Through thick and thin: improved transcranial focused ultrasound transmission estimates with acoustic simulation and magnetic resonance imaging

Mackenzie Carlson, PhD

January 31, 2023

Mackenzie Carlson, Department of Bioengineering

Michelle James, Advisor

Development, Evaluation, and Translation of Novel Neuroimaging Probes and Techniques to Investigate Neurodengenerative Diseases

August 18, 2022

Beliz Gunel,  Department of Electrical Engineering

John Pauly, Advisor

Leveraging Prior Knowledge and Structure for Data-Efficient Machine Learning

 

June 6, 2022

Elizabeth Cole, Department of Electrical Engineering

John Pauly, Advisor

Deep Learning for Accelerated MR Image Reconstruction

April 21, 2022

Philip Kenneth Lee, Department of Electrical Engineering

Brian Hargreaves, Advisor

Robust Body Diffusion Magnetic Resonance Imaging

March 23, 2022

Leandra Brickson, Department of Electrical Engineering

Jeremy Dahl, Advisor

Real-Time Reverberation Noise Suppression in Ultrasound Channel Signals Using a Fully Convolutional Neural Network


December, 2021

Jonathan Goodman, Department of Biophysics, MD-PhD program

Gary Glover, Advisor

Resolving Functional Landmarks in the Human Thalamus

December, 2021

Jeffrey Wang, Department of Biophysics

Raag Airan, Advisor

Mapping the Whole-Brain Response to Noninvasive Neuromodulation: From Rodents to Humans                             

November, 2021

Patricia Lan, Department of Bioengineering

Gary Glover, advisor

Methods for imaging brain function using BOLD and viscoelastic contrast

November, 2021

Rehman Ali, Department of Electrical Engineering

Jeremy Dahl, advisor

Sound Speed Estimation and Phase Aberration Correction in Medical Ultrasound Imaging

November, 2021

Hollis Crowder, Department of Mechanical Engineering

Marc Levenston, Advisor

Exploring structure-function relationships of knee cartilage and meniscus using medical imaging and soft tissue biomechanics techniques

September, 2021

Phillip DiGiacomo, Department of Bioengineering

Norbert Pelc and Michael Zeineh, Advisors

Validation and development of iron as an imaging-based biomarker ofneuroinflammation in Alzheimer's Disease

May, 2021

Mary Elizabeth Hall, Department of Mechanical Engineering

Marc Levenston, Advisor

Contrast Agent Diffusion as a CT Arthrography Biomarker for Articular Cartilage Health

May, 2021

Christopher Sandino, Department of Electrical Engineering

Shreyas Vasanawala,  Advisor

Accelerating pediatric magnetic resonance imaging using deep learning-based reconstruction

July, 2020

Sarah Divel, Department of Electrical Engineering

Norbert Pelc, Advisor

The Validation and Optimization of CT Perfusion for Stroke Assessment

April, 2021

Lauren Watkins, Department of Bioengineering

Marc Levenston, Feliks Kogan, Advisors

Imaging strategies for quantitative, whole-joint assessment ofstructure and function related to knee osteoarthritis

November, 2020

Steve Leung, Department of Bioengineering

Kim Butts Pauly, Advisor

Leveraging simulations to improve focused ultrasound brain treatments

June, 2020

Steffi Perkins, Department of Bioengineering

Brian Hargreaves, Advisor

 A Mixed-Reality System for Breast Surgical Planning in the Operating Room: Magnetic Resonance Imaging Development and Initial Clinical Evaluation

May, 2020

Seul Lee, Department of Electrical Engineering

Gary Glover, Advisor

Functional MRI Characterization of Lesion-Induced Plasticity and Improved Acquisition Techniques

June, 2019

Marrianne Black, Department of Mechanical Engineering

Prof. Marc Levenston, Advisor

Co-Advisors: Profs. Brian Hargreaves and Garry Gold

Quantitative Imaging of Cartilage and Meniscus for Early Detection of Osteoarthritis

June, 2019

Keshav Datta, Department of Electrical Engineering

Daniel Spielman, Advisor

Novel techniques for metabolic imaging using hyperpolarized carbon-13 compounds

May, 2019

Feiyu Chen, Department of Electrical Engineering

John Pauly, Advisor

Fast Motion-Robust Magnetic Resonance Imaging

April, 2019

Grant Yang, Department of Electrical Engineering

Jennifer McNab, Advisor

Diffusion Encoding Waveform Design for Mapping Microstructure in the Human Brain

February, 2019

Picha Shunhavanich, Department of Bioengineering

Norbert J. Pelc, Advisor

Challenges in CT with photon counting detectors

January, 2019

Mihir Pendse, Department of Electrical Engineering

Brian Rutt, Advisor

Managing Local SAR and B1+ Inhomogeneity in Ultra High Field MRI Using Parallel Transmission