Qinghui Hu

Guilin, China

Last Updated: 09/26/2026

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Found 10 publications

Clinical-imaging fusion model for risk assessment of clinically significant prostate cancer.

Clinical-imaging fusion model for risk assessment of clinically significant prostate cancer.

Journal: Frontiers in oncology
Published: April 01, 2026

Correction: A meta-learning-based robust federated learning for diagnosing lung adenocarcinoma and tuberculosis granulomas.

Correction: A meta-learning-based robust federated learning for diagnosing lung adenocarcinoma and tuberculosis granulomas.

Journal: Frontiers in oncology
Published: February 07, 2026

Preoperative Risk Assessment of Adrenal Metastases in a Multicenter Study: Development of a Robust Federated Learning Model.

Preoperative Risk Assessment of Adrenal Metastases in a Multicenter Study: Development of a Robust Federated Learning Model.

Journal: Academic radiology
Published: October 09, 2025

A meta-learning-based robust federated learning for diagnosing lung adenocarcinoma and tuberculosis granulomas.

A meta-learning-based robust federated learning for diagnosing lung adenocarcinoma and tuberculosis granulomas.

Journal: Frontiers in oncology
Published: July 16, 2025

Heterogeneous transfer learning model for improving the classification performance of fNIRS signals in motor imagery among cross-subject stroke patients.

Heterogeneous transfer learning model for improving the classification performance of fNIRS signals in motor imagery among cross-subject stroke patients.

Journal: Frontiers in human neuroscience
Published: January 05, 2025

Deep learning vs. robust federal learning for distinguishing adrenal metastases from benign lesions with multi-phase CT images.

Deep learning vs. robust federal learning for distinguishing adrenal metastases from benign lesions with multi-phase CT images.

Journal: Heliyon
Published: December 20, 2023

Robustly federated learning model for identifying high-risk patients with postoperative gastric cancer recurrence.

Robustly federated learning model for identifying high-risk patients with postoperative gastric cancer recurrence.

Journal: Nature communications
Published: July 24, 2023

Motor imagery electroencephalogram classification algorithm based on joint features in the spatial and frequency domains and instance transfer.

Motor imagery electroencephalogram classification algorithm based on joint features in the spatial and frequency domains and instance transfer.

Journal: Frontiers in human neuroscience
Published: February 27, 2023

Classification of motor imagery electroencephalogram signals by using adaptive cross-subject transfer learning.

Classification of motor imagery electroencephalogram signals by using adaptive cross-subject transfer learning.

Journal: Frontiers in human neuroscience
Published: October 13, 2022

Single-channel EEG signal extraction based on DWT, CEEMDAN, and ICA method.

Single-channel EEG signal extraction based on DWT, CEEMDAN, and ICA method.

Journal: Frontiers in human neuroscience
Published: August 03, 2022
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Last Updated: 09/26/2026