Weijun Peng

ORCID: 0000-0002-7254-140X
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Research Areas
  • MRI in cancer diagnosis
  • Radiomics and Machine Learning in Medical Imaging
  • Breast Cancer Treatment Studies
  • Advanced MRI Techniques and Applications
  • Breast Lesions and Carcinomas
  • Pancreatic and Hepatic Oncology Research
  • Medical Imaging Techniques and Applications
  • Ovarian cancer diagnosis and treatment
  • Endometrial and Cervical Cancer Treatments
  • Hepatocellular Carcinoma Treatment and Prognosis
  • Cancer Immunotherapy and Biomarkers
  • Colorectal and Anal Carcinomas
  • Nanoparticle-Based Drug Delivery
  • 3D Surveying and Cultural Heritage
  • Traditional Chinese Medicine Studies
  • Image Processing and 3D Reconstruction
  • Uterine Myomas and Treatments
  • Cancer and Skin Lesions
  • Characterization and Applications of Magnetic Nanoparticles
  • Iron oxide chemistry and applications
  • Spine and Intervertebral Disc Pathology
  • Case Reports on Hematomas
  • COVID-19 Impact on Reproduction
  • Management of metastatic bone disease
  • Mycobacterium research and diagnosis

China University of Geosciences
2025

Fudan University Shanghai Cancer Center
2011-2024

Shanghai Medical College of Fudan University
2011-2024

Shenzhen Center for Disease Control and Prevention
2024

Fudan University
2011-2014

Xiangya Hospital Central South University
2011

To develop a short-term follow-up CT-based radiomics approach to predict response immunotherapy in advanced non-small-cell lung cancer (NSCLC) and investigate the prognostic value of features predicting progression-free survival (PFS) overall (OS). We first retrospectively collected 224 NSCLC patients from two centers, divided them into primary cohort validation cohorts respectively. Then, we processed CT scans with series image preprocessing techniques namely, tumor segmentation,...

10.1080/2162402x.2022.2028962 article EN cc-by-nc OncoImmunology 2022-01-25

Recovering a complete point cloud from partial is critical and challenging task for many 3D applications. In this paper, completion network proposed that focuses on improving the feature extraction initial generated in encoding phase. The local details of original are highlighted by introducing trigonometric positional embedding encoding. Moreover, self-attention mechanism fusion to facilitate generation cloud. experiments multiple public datasets demonstrate our effectively achieves with...

10.1117/12.3057669 article EN 2025-02-13

This study aimed to explore the potential of magnetic resonance imaging (MRI) radiomics-based machine learning improve assessment and diagnosis contralateral Breast Imaging Reporting Data System (BI-RADS) category 4 lesions in women with primary breast cancer.A total 178 BI-RADS (97 malignant 81 benign) collected from cancer patients were involved our retrospective dataset. T1 + C T2 weighted images used for radiomics analysis. These randomly assigned training (n = 124) dataset an...

10.3389/fonc.2020.531476 article EN cc-by Frontiers in Oncology 2020-10-29

The purpose of the present study was to evaluate whether diffusion‑weighted imaging (DWI) can be used assess hepatocellular carcinoma (HCC) viability following transarterial chemoembolization (TACE). A total 41 consecutive patients were treated according protocols. follow‑up performed between six and eight weeks post‑chemoembolization by multidetector computed tomography [or enhanced magnetic resonance (MRI)] DW‑MRI on same day. presence any residual tumor extent necrosis evaluated European...

10.3892/ol.2014.2228 article EN Oncology Letters 2014-06-05

The aim of this study was to discuss the correlation between diffusion-weighted imaging (DWI) at 3.0-T magnetic resonance and histopathology for pancreatic ductal adenocarcinoma (PDA).Twenty-eight patients with histopathologically proven PDA were included in after 108 cases suspected tumors had been performed DWI. sequences DWI respiratory-triggered breath-hold DWI, which 2 b values (0 500 s/mm; 0 1000 s/mm), respectively. According images, wax blocks slices selected stained...

10.1097/rct.0000000000000274 article EN Journal of Computer Assisted Tomography 2015-01-01

Purpose The purpose of this study was to investigate the diagnostic value quantitative dynamic contrast-enhanced magnetic resonance imaging (QDCE-MRI) pancreatic ductal adenocarcinoma (PDA) on a 3.0-T resonance. Materials and Methods approved by local institutional review board, all subjects provided written informed consent. Seventy-five patients with suspected tumors underwent QDCE-MRI, in which 33 cases solid lesions (23 PDA, 3 pseudopapillary tumor, neuroendocrine 2 mass-forming...

10.1097/rct.0000000000000120 article EN Journal of Computer Assisted Tomography 2014-01-01

Background Preoperative pathological grading assessment is important for patients with breast phyllodes tumors (PTs). Purpose To develop and validate a clinical–radiomics model based on multiparametric MRI clinical information the pretreatment differential diagnosis of PTs. Study Type Retrospective. Population A total 216 PTs, 133 in training cohort (55 benign PTs [BPTs] 78 borderline/malignant [BMPTs]) 83 validation (28 BPTs 55 BMPTs). Field Strength/Sequence 1.5 T 3 ; T2 ‐weighted imaging...

10.1002/jmri.28286 article EN Journal of Magnetic Resonance Imaging 2022-06-03

The present study aimed to compare two‑dimensional (2D) and three‑dimensional (3D) magnetic resonance cholangiopancreatography (MRCP) for the assessment of pancreatic cystic lesions. Between February 2009 December 2011, 35 patients that had been diagnosed with lesions, which was confirmed by surgery pathology, underwent pre‑operative 2D or 3D MRCP pre-operative evaluation. In study, quality these images, visualization features main duct prediction ductal communication lesions were evaluated...

10.3892/ol.2015.2935 article EN Oncology Letters 2015-02-05

Epidermal growth factor receptor (EGFR) mutation genotyping plays a pivotal role in targeted therapy for non-small cell lung cancer (NSCLC). We aimed to develop computed tomography (CT) image-based hybrid deep radiomics model predict EGFR status NSCLC and investigate the correlations between image quantitative features.

10.1088/1361-6560/ad0d43 article EN Physics in Medicine and Biology 2023-11-16

Purpose The aim of this study was to discuss the correlation quantitative dynamic contrast-enhanced magnetic resonance imaging (QDCE-MRI) at 3.0-T and histopathology for pancreatic ductal adenocarcinoma (PDA). Methods Twenty-three patients with histopathologically proven PDA were included in after 75 cases suspected tumors had been performed by QDCE-MRI. kinetic parameters analyzed 2-compartment 3-compartment models calculated automatically, which volume transfer constant contrast agent,...

10.1097/rct.0000000000000171 article EN Journal of Computer Assisted Tomography 2014-10-22

Objective We aimed to investigate the correlation of perfusion parameters dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) with molecular biological expression breast infiltrating ductal carcinoma (IDC) in order guide appropriate therapeutic advice and clinical outcome prediction. Materials Methods In a prospective analysis 67 patients IDC, preoperative DCE-MRI routine MRI images were obtained. The double-chamber model (extended Tofts model) was employed calculate parameters....

10.3389/fonc.2021.561735 article EN cc-by Frontiers in Oncology 2021-10-13

Purpose To demonstrate the noninferiority of gadobutrol‐enhanced magnetic resonance imaging (MRI) compared with gadopentetate dimeglumine‐enhanced MRI in Asian patients referred for contrast‐enhanced body or extremities. Materials and Methods A multicenter, parallel‐group comparison study adults were randomized (1:1) to either gadobutrol dimeglumine. Lesions assessed three primary visualization variables: degree contrast enhancement, border delineation, internal morphology. Secondary...

10.1002/jmri.24566 article EN other-oa Journal of Magnetic Resonance Imaging 2014-04-01

To probe the magnetic resonance imaging (MRI) features of ovarian clear cell carcinoma (OCCC).This study retrospectively collected MRI data for 21 pathology-confirmed OCCCs from 19 female patients. The findings were analyzed to determine tumor size, shape/edge, shape and number protrusions within cyst, cystic or necrotic components, signal intensity (SI) enhancement features.The age patients ranged 28 63 years (mean age: 53 years). Unilateral tumors found in 17 (17/19, 89%); average size all...

10.1371/journal.pone.0132406 article EN cc-by PLoS ONE 2015-07-10

Objective To evaluate the role of magnetic resonance imaging (MRI) in detection residual disease for patients after excisional biopsy breast carcinoma, before re-excision. Materials and Methods We performed a retrospective review 97 who underwent MRI soon carcinoma with undeterminable margin status further surgical intervention to determine value detecting disease. Results The positive predictive was 50.0%. negative 78.9%. detected 54.5% invasive ductal 100% situ. Positive sensitivity...

10.1097/rct.0b013e31824afc21 article EN Journal of Computer Assisted Tomography 2012-01-01

Objective This study aimed to describe the magnetic resonance imaging (MRI) features of pure breast encapsulated papillary carcinoma (EPC). Materials and Methods Ten patients with histopathologically confirmed EPC were reviewed. Two radiologists evaluated lesion MRI characteristics. Results The presented oval or round mass circumscribed margin on MRI. In addition, 4 cases exhibited a cystic-solid mixed mural nodules, liquid level that indicated possibility hemorrhage. Conclusions A...

10.1097/rct.0000000000000737 article EN Journal of Computer Assisted Tomography 2018-05-22

On page 6613, W. Bu, J. Shi, and co-workers present the first example of T2-weighted MR imaging sensitizer (Yb3+) activator (Ho3+) in UCNPs, which can also be simultaneously used for UCL CT imaging, thus enabling high performance multimodal MRI/UCL/CT single UCNPs. Impressively, remarkable T2-MRI capability Ho3+-doped UCNPs favors accurate early diagnosis brain tumor.

10.1002/adfm.201470275 article EN Advanced Functional Materials 2014-11-01
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