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Hulin Kuang

Showing results (31-40 of 40) with videos related to

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Computer Methods and Programs in Biomedicine|June 16, 2019
Automated brain extraction from head CT and CTA images using convex optimization with shape propagationMohamed Najm, Hulin Kuang, Alyssa Federico, et al.
IEEE Journal of Biomedical and Health Informatics|May 14, 2026
AISCT-SAM: Customized SAM-Med2D with 3D Context Awareness and Self-Prompt Generation for Fully Automatic Acute Ischemic Stroke Lesion Segmentation on Non-Contrast CT ScansHulin Kuang, Xianzhen Tan, Shunuo Li, et al.
Medical Image Analysis|March 19, 2025
LW-CTrans: A lightweight hybrid network of CNN and Transformer for 3D medical image segmentationHulin Kuang, Yahui Wang, Xianzhen Tan, et al.
Medical Image Analysis|April 16, 2022
MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT imagesHailin Yue, Jin Liu, Junjian Li, et al.
Radiology|January 29, 2020
Machine Learning for Detecting Early Infarction in Acute Stroke with Non-Contrast-enhanced CTWu Qiu, Hulin Kuang, Ericka Teleg, et al.
Journal of Neurointerventional Surgery|June 24, 2024
Two-stage convolutional neural network for segmentation and detection of carotid web on CT angiographyHulin Kuang, Xianzhen Tan, Fouzi Bala, et al.
International Journal of Stroke : Official Journal of the International Stroke Society|December 19, 2019
Semi-automatic measurement of intracranial hemorrhage growth on non-contrast CTKevin J Chung, Hulin Kuang, Alyssa Federico, et al.
International Journal of Stroke : Official Journal of the International Stroke Society|December 20, 2019
Validation of an automated ASPECTS method on non-contrast computed tomography scans of acute ischemic stroke patientsHulin Kuang, Wu Qiu, Mohamed Najm, et al.
Stroke|September 5, 2019
Confirmatory Study of Time-Dependent Computed Tomographic Perfusion Thresholds for Use in Acute Ischemic StrokeWu Qiu, Hulin Kuang, Ting Y Lee, et al.
Stroke|December 7, 2020
Computed Tomography Perfusion-Based Machine Learning Model Better Predicts Follow-Up Infarction in Patients With Acute Ischemic StrokeHulin Kuang, Wu Qiu, Anna M Boers, et al.
Pageof 4

Showing results (31-40 of 40) with videos related to

Sort By:
Pageof 4
You have reached the last page of results.This site can display upto 40 results.
Computer Methods and Programs in Biomedicine|June 16, 2019
Automated brain extraction from head CT and CTA images using convex optimization with shape propagationMohamed Najm, Hulin Kuang, Alyssa Federico, et al.
IEEE Journal of Biomedical and Health Informatics|May 14, 2026
AISCT-SAM: Customized SAM-Med2D with 3D Context Awareness and Self-Prompt Generation for Fully Automatic Acute Ischemic Stroke Lesion Segmentation on Non-Contrast CT ScansHulin Kuang, Xianzhen Tan, Shunuo Li, et al.
Medical Image Analysis|March 19, 2025
LW-CTrans: A lightweight hybrid network of CNN and Transformer for 3D medical image segmentationHulin Kuang, Yahui Wang, Xianzhen Tan, et al.
Medical Image Analysis|April 16, 2022
MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT imagesHailin Yue, Jin Liu, Junjian Li, et al.
Radiology|January 29, 2020
Machine Learning for Detecting Early Infarction in Acute Stroke with Non-Contrast-enhanced CTWu Qiu, Hulin Kuang, Ericka Teleg, et al.
Journal of Neurointerventional Surgery|June 24, 2024
Two-stage convolutional neural network for segmentation and detection of carotid web on CT angiographyHulin Kuang, Xianzhen Tan, Fouzi Bala, et al.
International Journal of Stroke : Official Journal of the International Stroke Society|December 19, 2019
Semi-automatic measurement of intracranial hemorrhage growth on non-contrast CTKevin J Chung, Hulin Kuang, Alyssa Federico, et al.
International Journal of Stroke : Official Journal of the International Stroke Society|December 20, 2019
Validation of an automated ASPECTS method on non-contrast computed tomography scans of acute ischemic stroke patientsHulin Kuang, Wu Qiu, Mohamed Najm, et al.
Stroke|September 5, 2019
Confirmatory Study of Time-Dependent Computed Tomographic Perfusion Thresholds for Use in Acute Ischemic StrokeWu Qiu, Hulin Kuang, Ting Y Lee, et al.
Stroke|December 7, 2020
Computed Tomography Perfusion-Based Machine Learning Model Better Predicts Follow-Up Infarction in Patients With Acute Ischemic StrokeHulin Kuang, Wu Qiu, Anna M Boers, et al.
Pageof 4