activity
20192026
most citedGeometric Loss for Deep Multiple Sclerosis lesion Segmentation

21 citations · 111 across the 32 of their papers we have counts for

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Showing 2023Show all

8 papers · 1 filter

eess.IV2023

Towards an accurate and generalizable multiple sclerosis lesion segmentation model using self-ensembled lesion fusion

Jinwei Zhang, Lianrui Zuo, Blake E. Dewey +4

Automatic multiple sclerosis (MS) lesion segmentation using multi-contrast magnetic resonance (MR) images provides improved efficiency and reproducibility compared to manual deline…

eess.IV2023

RimSet: Quantitatively Identifying and Characterizing Chronic Active Multiple Sclerosis Lesion on Quantitative Susceptibility Maps

Jinwei Zhang, Thanh D. Nguyen, Renjiu Hu +3

Background: Rim+ lesions in multiple sclerosis (MS), detectable via Quantitative Susceptibility Mapping (QSM), correlate with increased disability. Existing literature lacks quanti…

eess.IV2023

Harmonization-enriched domain adaptation with light fine-tuning for multiple sclerosis lesion segmentation

Jinwei Zhang, Lianrui Zuo, Blake E. Dewey +5

Deep learning algorithms utilizing magnetic resonance (MR) images have demonstrated cutting-edge proficiency in autonomously segmenting multiple sclerosis (MS) lesions. Despite the…

cs.CV2023

DAGrid: Directed Accumulator Grid

Hang Zhang, Renjiu Hu, Xiang Chen +3

Recent research highlights that the Directed Accumulator (DA), through its parametrization of geometric priors into neural networks, has notably improved the performance of medical…

eess.IV2023

High-pass filtered fidelity-imposed network edit (HP-FINE) for robust quantitative susceptibility mapping from high-pass filtered phase

Jinwei Zhang, Alexey Dimov, Chao Li +4

Purpose: To improve the generalization ability of deep learning based predictions of quantitative susceptibility mapping (QSM) from high-pass filtered phase (HPFP) data. Methods: A…

eess.IV2023★ 5 cited

mcLARO: Multi-Contrast Learned Acquisition and Reconstruction Optimization for simultaneous quantitative multi-parametric mapping

Jinwei Zhang, Thanh D. Nguyen, Eddy Solomon +6

Purpose: To develop a method for rapid sub-millimeter T1, T2, T2* and QSM mapping in a single scan using multi-contrast Learned Acquisition and Reconstruction Optimization (mcLARO)…

eess.IV2023★ 3 cited

DeDA: Deep Directed Accumulator

Hang Zhang, Rongguang Wang, Renjiu Hu +2

Chronic active multiple sclerosis lesions, also termed as rim+ lesions, can be characterized by a hyperintense rim at the edge of the lesion on quantitative susceptibility maps. Th…

eess.IV2023★ 7 cited

Spatially Covariant Lesion Segmentation

Hang Zhang, Rongguang Wang, Jinwei Zhang +3

Compared to natural images, medical images usually show stronger visual patterns and therefore this adds flexibility and elasticity to resource-limited clinical applications by inj…