Hai Zhong

ORCID: 0000-0002-5167-2590
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About
Contact & Profiles
Research Areas
  • Advanced MRI Techniques and Applications
  • Gene expression and cancer classification
  • Bioinformatics and Genomic Networks
  • Ferroptosis and cancer prognosis
  • Advanced X-ray and CT Imaging
  • MRI in cancer diagnosis
  • Reconstructive Surgery and Microvascular Techniques
  • Renal and Vascular Pathologies
  • Pediatric Urology and Nephrology Studies
  • Bone fractures and treatments
  • Kidney Stones and Urolithiasis Treatments
  • Trauma Management and Diagnosis

Second Hospital of Shandong University
2022-2025

Accurate cancer survival prediction remains a critical challenge in clinical oncology, largely due to the complex and multi-omics nature of data. Existing methods often struggle capture comprehensive range informative features required for precise predictions. Here, we introduce PCLSurv, an innovative deep learning framework designed using PCLSurv integrates autoencoders extract omics-specific employs sample-level contrastive identify distinct yet complementary characteristics across data...

10.1093/bib/bbaf124 article EN cc-by-nc Briefings in Bioinformatics 2025-03-01

This study aimed to develop a deep-learning (DL) based method for three-dimensional (3D) segmentation of the upper urinary tract (UUT), including ureter and renal pelvis, on non-enhanced computed tomography (NECT) scans. A total 150 NECT scans with normal appearance left UUT were chosen this study. The dataset was divided into training (n = 130) validation sets 20). test set contained 29 randomly cases urography (CTU) scans, all UUT. An experienced radiologist marked out pelvis each scan....

10.1038/s41598-024-71066-2 article EN cc-by-nc-nd Scientific Reports 2024-08-30

Abstract Background To date, few data on the assessment of transplant renal artery stenosis (TRAS) by using inflow inversion recovery (IFIR) are available. The aims this study was to evaluate feasibility IFIR in TRAS Digital Subtraction Angiography (DSA) as reference. Results We retrospectively assessed 195 arteries. images for 194/195 arteries were judged be excellent, good, or moderate quality, and 1/195 not diagnostic. There 100 with TRAS, which 27 subjected DSA. percentages divided into...

10.1186/s43055-021-00682-z article EN cc-by The Egyptian Journal of Radiology and Nuclear Medicine 2022-01-04

To investigate the clinical application of differential subsampling with Cartesian ordering (DISCO) contrast-enhanced (CE) magnetic resonance angiography for anterolateral thigh (ALT) flap transplantation, using operative findings as a reference.Thirty patients (21 males and nine females; mean age ± standard deviation, 45.5 15.6 years) who were scheduled to undergo reconstruction ALT flaps between June 2020 2021 included in prospective study. Before scanned CE-DISCO imaging. All acquired...

10.3348/kjr.2021.0696 article EN Korean Journal of Radiology 2022-01-01
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