David Lee

About

David Jongwon Lee is a Boas assistant professor at Northwestern University in the Department of Mathematics. His research interests include homotopy theory, with a focus on topics such as topological Hochschild homology, algebraic K-theory, and the p-local homotopy type of spectra. He has contributed to the understanding of the Hahn-Wilson conjecture, the properties of truncated Brown-Peterson spectra, and the K-theory of the K(1)-local sphere, among other areas. He completed his PhD at MIT under the supervision of Jeremy Hahn and has since engaged in various research projects and collaborations, resulting in publications that address complex problems in algebraic topology and related fields. In addition to his research, David Lee is involved in teaching courses at Northwestern University, covering topics from calculus to algebraic topology, and has delivered talks at numerous conferences and seminars, further disseminating his work and expertise in the mathematical community.

Research topics

• Medicine
• Internal medicine
• Cardiology
• Artificial Intelligence
• Computer Science
• Biology
• Nuclear medicine
• Immunology
• Computer vision
• Radiology

Selected publications

• Rapid dealiasing of undersampled, non‐Cartesian cardiac perfusion images using U‐net

  NMR in Biomedicine · 2020 · 41 citations

  ) and extensive myocardial coverage (6-8 slices per heartbeat). A major disadvantage of CS is its relatively lengthy processing time (~8 min per slice with 64 frames using a graphics processing unit), thereby making it impractical for clinical translation. The purpose of this study was to implement and test whether an image reconstruction pipeline including a neural network is capable of reconstructing 6.4-fold accelerated, non-Cartesian (radial) cardiac perfusion k-space data at least 10 times…

  DOI

• Left Ventricular Extracellular Volume Expansion Is Not Associated with Atrial Fibrillation or Atrial Fibrillation–mediated Left Ventricular Systolic Dysfunction

  Radiology Cardiothoracic Imaging · 2020 · 18 citations

  PURPOSE: To determine whether left ventricular (LV) extracellular volume (ECV) expansion is associated with atrial fibrillation (AF) or AF-mediated LV systolic dysfunction (LVSD) while minimizing the influence of biologic and imaging methodologic confounders. MATERIALS AND METHODS: This study examined the prevalence of LV ECV expansion in 137 patients with AF (mean age, 62 years ± 11 [standard deviation]; 92 male patients and 45 female patients; 83 paroxysmal and 54 persistent) who underwent pre…

  DOI

• Accelerated Wideband Myocardial Perfusion Pulse Sequence with Compressed Sensing Reconstruction for Myocardial Blood Flow Quantification in Patients with a Cardiac Implantable Electronic Device

  Radiology Cardiothoracic Imaging · 2020 · 14 citations

  PURPOSE: To develop an accelerated wideband cardiac perfusion pulse sequence and test whether it can produce diagnostically acceptable image quality and whether it can be used to reliably quantify myocardial blood flow (MBF) in patients with a cardiac implantable electronic device (CIED). MATERIALS AND METHODS: A fivefold-accelerated wideband perfusion pulse sequence was developed using compressed sensing to sample one arterial input function plane and three myocardial perfusion (MP) planes per…

  DOI

• Deep learning based automated left atrial segmentation and flow quantification of real time phase contrast MRI in patients with atrial fibrillation

  The International Journal of Cardiovascular Imaging · 2025-04-29 · 2 citations

  articleOpen access

  Real time 2D phase contrast (RTPC) MRI is useful for flow quantification in atrial fibrillation (AF) patients, but data analysis requires time-consuming anatomical contouring for many cardiac time frames. Our goal was to develop a convolutional neural network (CNN) for fully automated left atrial (LA) flow quantification. Forty-four AF patients underwent cardiac MRI including LA RTPC, collecting a median of 358 timeframes per scan. 15,307 semi-manual derived RTPC LA contours comprised ground tru…

  PublisherOA PDFDOI

• 4D Flow MRI derived aortic pulse wave velocity and wall shear stress in Covid-19

  Clinical Imaging · 2025-05-29 · 1 citations

  article
  PublisherDOI

Recent grants

• NIH Grant R21NS067278

  NIH · $477k · 2014

• Rapid Real-Time Cardiovascular MRI for Detecting Coronary Artery Disease

  NIH · $1.1M · 2017–2022

• Quantitative Detection of Coronary Microvascular Dysfunction in Long COVID Patients using a Comprehensive, Rapid, Free-Breathing Cardiovascular MRI

  NIH · $1.6M · 2023–2027

Frequent coauthors

• Michael Markl

  74 shared

• James Carr

  Environmental Molecular Sciences Laboratory

  66 shared

• Alan H. Kadish

  University Health System

  61 shared

• Daniel Kim

  59 shared

• Jacqueline Fontugne

  Institut Curie

  58 shared

• Juan Miguel Mosquera

  Weill Cornell Medicine

  57 shared

• Edwin Wu

  Facultad Latinoamericana de Ciencias Sociales

  56 shared

• Mark A. Rubin

  University of Bern

  56 shared

Education

• Ph.D., Homotopy Theory

  Massachusetts Institute of Technology (MIT)

Similar researchers at Northwestern University

• Ezra Getzlerh-40
• Alexander Smithh-32
• Ben Weinkoveh-28