Hailin Li - Publications

Corrigendum to Deep learning model based on primary tumor to predict lymph node status in clinical stage IA lung adenocarcinoma: a multicenter study [Journal of the National Cancer Center 4 (2024) 233-240].

Journal: Journal of the National Cancer Center

Published: January 07, 2026

Enhancing Prognostic Prediction of Gastrointestinal Stromal Tumors Using Semi-Supervised Regression Based on CT Imaging Data.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: March 05, 2025

Bi-regional and bi-phasic automated machine learning radiomics for defining metastasis to lesser curvature lymph node stations in gastric cancer.

Journal: Cancer imaging : the official publication of the International Cancer Imaging Society

Published: January 11, 2025

PCRFed: personalized federated learning with contrastive representation for non-independently and identically distributed medical image segmentation.

Journal: Visual computing for industry, biomedicine, and art

Published: October 22, 2024

Deep learning model based on primary tumor to predict lymph node status in clinical stage IA lung adenocarcinoma: a multicenter study.

Journal: Journal of the National Cancer Center

Published: September 15, 2023

Breaking boundaries in radiology: redefining AI diagnostics via raw data ahead of reconstruction.

Journal: Physics in medicine and biology

Published: August 31, 2023

Comprehensive integrated analysis of MR and DCE-MR radiomics models for prognostic prediction in nasopharyngeal carcinoma.

Journal: Visual computing for industry, biomedicine, and art

Published: June 29, 2023

A multi-view co-training network for semi-supervised medical image-based prognostic prediction.

Journal: Neural networks : the official journal of the International Neural Network Society

Published: November 16, 2022

Benign-malignant classification of pulmonary nodules by low-dose spiral computerized tomography and clinical data with machine learning in opportunistic screening.

Journal: Cancer medicine

Published: October 20, 2022

The potential of prostate gland radiomic features in identifying the Gleason score.

Journal: Computers in biology and medicine

Published: November 04, 2021

CT-based identification of pediatric non-Wilms tumors using convolutional neural networks at a single center.

Journal: Pediatric research

Published: September 29, 2021

Noninvasive Prediction of High-Grade Prostate Cancer via Biparametric MRI Radiomics.

Journal: Journal of magnetic resonance imaging : JMRI

Published: November 03, 2019