output
20032025
most citedTen Quick Tips for Deep Learning in Biology

47 citations

17 papers

eess.IV2025

Low-Cost and Detunable Wireless Resonator Glasses for Enhanced Eye MRI with Concurrent High-Quality Whole Brain MRI

Ming Lu, Xiaoyue Yang, Jason Moore +5

Purpose: To develop and evaluate a wearable wireless resonator glasses design that enhances eye MRI signal-to-noise ratio (SNR) without compromising whole-brain image quality at 7…

eess.IV2025★ 3 cited

High Volume Rate 3D Ultrasound Reconstruction with Diffusion Models

Tristan S. W. Stevens, Oisín Nolan, Oudom Somphone +2

Three-dimensional ultrasound enables real-time volumetric visualization of anatomical structures. Unlike traditional 2D ultrasound, 3D imaging reduces reliance on precise probe ori…

cs.CV2024★ 2 cited

Sequential Posterior Sampling with Diffusion Models

Tristan S. W. Stevens, Oisín Nolan, Jean-Luc Robert +1

Diffusion models have quickly risen in popularity for their ability to model complex distributions and perform effective posterior sampling. Unfortunately, the iterative nature of…

eess.SP2023★ 42 cited

Dehazing Ultrasound using Diffusion Models

Tristan S. W. Stevens, Faik C. Meral, Jason Yu +3

Echocardiography has been a prominent tool for the diagnosis of cardiac disease. However, these diagnoses can be heavily impeded by poor image quality. Acoustic clutter emerges due…

physics.med-ph2022★ 5 cited

Improved accuracy and reproducibility of coronary artery cal-cification features using deconvolution

Yingnan Song, Ammar Hoori, Hao Wu +7

Our long-range goal is to improve current whole-heart CT calcium score by extracting quantitative features from individual calcifications. We performed deconvolution to improve sma…

cs.LG2022★ 26 cited

GenHPF: General Healthcare Predictive Framework with Multi-task Multi-source Learning

Kyunghoon Hur, Jungwoo Oh, Junu Kim +7

Despite the remarkable progress in the development of predictive models for healthcare, applying these algorithms on a large scale has been challenging. Algorithms trained on a par…