A5108088410- Medical Image Segmentation Techniques
- Lymphoma Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Retinal Imaging and Analysis
- Lung Cancer Diagnosis and Treatment
- Medical Imaging Techniques and Applications
- Pancreatic and Hepatic Oncology Research
- COVID-19 diagnosis using AI
- Digital Image Processing Techniques
- MRI in cancer diagnosis
- 3D Shape Modeling and Analysis
- Neuroendocrine Tumor Research Advances
- CAR-T cell therapy research
- AI in cancer detection
- Trauma, Hemostasis, Coagulopathy, Resuscitation
- Robotics and Sensor-Based Localization
- Acute Ischemic Stroke Management
- CNS Lymphoma Diagnosis and Treatment
- Immune Cell Function and Interaction
- Viral-associated cancers and disorders
- Intracerebral and Subarachnoid Hemorrhage Research
- Autonomous Vehicle Technology and Safety
- Histone Deacetylase Inhibitors Research
- Sepsis Diagnosis and Treatment
- Optical Coherence Tomography Applications
Shanghai Jiao Tong University
2010-2025
Ruijin Hospital
2009-2025
Beijing University of Posts and Telecommunications
2023-2024
First Affiliated Hospital of Bengbu Medical College
2018-2023
Northeast Electric Power University
2023
Yangzhou University
2022
Guangdong University of Finance
2021
Compliment Corporation (United States)
2018-2020
Seattle University
2020
University of Iowa
2008-2019
To evaluate the performance of a novel three-dimensional (3D) joint convolutional and recurrent neural network (CNN-RNN) for detection intracranial hemorrhage (ICH) its five subtypes (cerebral parenchymal, intraventricular, subdural, epidural, subarachnoid) in non-contrast head CT.A total 2836 subjects (ICH/normal, 1836/1000) from three institutions were included this ethically approved retrospective study, with 76,621 slices CT scans. ICH annotated by independent experienced radiologists,...
We report the results of GUIDANCE-01 (NCT04025593), a randomized, phase II trial R-CHOP alone or combined with targeted agents (R-CHOP-X) guided by genetic subtyping newly diagnosed, intermediate-risk, high-risk diffuse large B cell lymphoma (DLBCL). A total 128 patients were randomized 1:1 to receive R-CHOP-X R-CHOP. The study achieved primary endpoint, showing significantly higher complete response rate than (88% vs. 66%, p = 0.003), overall 92% 73% (p 0.005). Two-year progression-free...
Positron emission tomography (PET)-computed (CT) images have been widely used in clinical practice for radiotherapy treatment planning of the radiotherapy. Many existing segmentation approaches only work a single imaging modality, which suffer from low spatial resolution PET or contrast CT. In this work, we propose novel method co-segmentation tumor both and CT images, makes use advantages each modality: functionality information anatomical structure The approach formulates problem as...
Characterization of lung nodules as benign or malignant is one the most important tasks in cancer diagnosis, staging and treatment planning. While variation appearance remains large, there a need for fast robust computer aided system. In this work, we propose an end-to-end trainable multi-view deep Convolutional Neural Network (CNN) nodule characterization. First, use median intensity projection to obtain 2D patch corresponding each dimension. The three images are then concatenated form...
This paper proposes an algorithm to measure the width of retinal vessels in fundus photographs using graph-based segment both vessel edges simultaneously. First, simultaneous two-boundary segmentation problem is modeled as a two-slice, 3-D surface problem, which further converted into computing minimum closed set node-weighted graph. An initial generated from probability image. We use REVIEW database evaluate diameter measurement performance. The robust and estimates with subpixel accuracy....
Segmentation of multiple surfaces in medical images is a challenging problem, further complicated by the frequent presence weak boundary evidence, large object deformations, and mutual influence between adjacent objects. This paper reports novel approach to multi-object segmentation that incorporates both shape context prior knowledge 3-D graph-theoretic framework help overcome stated challenges. We employ an arc-based graph representation incorporate wide spectrum information through...
Lung segmentation is an important first step for quantitative lung CT image analysis and computer aided diagnosis. However, accurate automated may be made difficult by the presence of abnormalities. Since many diseases change tissue density, resulting in intensity changes data, intensity-only algorithms will not work most pathological cases. This paper presents automatic algorithm that uses a graph search driven cost function combining intensity, gradient, boundary smoothness, rib...
Background A challenge for R2 and R2* methods in measuring liver iron concentration (LIC) is that fibrosis, fat, other hepatic cellular pathology contribute to interfere with LIC estimation. Purpose To examine the interfering effects of lesions on estimation use quantitative susceptibility mapping (QSM) reduce these distortions. Study Type Prospective. Phantoms, Subjects Water phantoms various concentrations gadolinium (Gd), collagen (Cl, modeling fibrosis), fat; nine healthy controls no...
Computerized automatic methods have been employed to boost the productivity as well objectiveness of hand bone age assessment. These approaches make predictions according whole X-ray images, which include other objects that may introduce distractions. Instead, our framework is inspired by clinical workflow (Tanner-Whitehouse) assessment, focuses on key components hand. The proposed composed two components: a Mask R-CNN subnet pixelwise segmentation and residual attention network for segments...
Astaxanthin (AST) is a type of ketone carotenoid having significant antioxidation and anticancer abilities. However, its application limited due to low stability bioavailability. In our study, poly (lactic-co-glycolic acid) (PLGA)-encapsulated AST (AST@PLGA) nanoparticles were prepared by emulsion solvent evaporation method then further processed ultrasound with broccoli-derived extracellular vesicles (BEVs), thereby evolving as BEV-coated AST@PLGA (AST@PLGA@BEVs). The preparation process...
Anti-CD19 chimeric antigen receptor (CAR)-T cells not only target CD19-positive malignant lymphoma but also normal B cells. The utility of CAR-T cell therapy has been reported in rheumatoid arthritis and systemic lupus erythematosus; however, its use Sjögren’s disease (SjD) remains unknown. In this study, we describe the case a 76-year-old woman with active SjD for 10 years who was diagnosed diffuse large B-cell lymphoma. After receiving anti-CD19 therapy, she achieved complete remission...
Accurate and reliable segmentation of nasopharyngeal carcinoma (NPC) in medical images is an import task for clinical applications, including radiotherapy. However, NPC features large variations lesion size shape, as well inhomogeneous intensities within the tumor similar intensity to that nearby tissues, making its a challenging task. The present study proposes novel automated method magnetic resonance (MR) by combining deep convolutional neural network (CNN) model 3‑dimensional (3D) graph...
Abstract Background Elderly patients with diffuse large B-cell lymphoma (DLBCL) present poor clinical outcome and intolerance to intensive chemotherapy. Histone deacetylase inhibitors (HDACIs) show anti-lymphoma activities can be applied treat DLBCL. This study aimed evaluate efficacy safety of oral HDACI tucidinostat (formerly known as chidamide) plus R-CHOP (CR-CHOP) in elderly newly diagnosed DLBCL (International Prognostic Index ≥ 2). Results Among 49 patients, the complete response rate...
Delafossites, comprised of noble metal (A+) and strongly correlated sublayers (BO2-), form natural superlattices with highly anisotropic properties. These properties hold significant promise for various applications, but their exploitation hinges on the successful growth high-quality thin films suitable substrates. Unfortunately, unique lattice geometry delafossites presents a challenge to thin-film fabrication. Different grow differently, even when deposited same substrate, ranging from...
The multi-center randomized phase 3 NHL-004 study compared etoposide, dexamethasone and pegaspargase (ESA) versus methotrexate, (MESA) regimen, combined with sandwiched radiotherapy, in newly diagnosed early-stage nasal natural killer/T-cell lymphoma (NKTCL). Here we report the long-term outcomes (median follow-up, 64 months) biomarker analysis. 256 eligible patients aged 14-70 years were randomly assigned (1:1) to ESA or MESA arm. 5-year progression-free survival (PFS) rates 80.3% 74.9%...
Objective To investigate the relationship between perfusion CT features and clinicopathologically determined prognostic factors in advanced gastric cancer cases. Materials methods A was performed on 31 patients with one week before surgery using a 16-channel multi-detector (MDCT) instrument. The data were analyzed commercially available software to calculate tumor blood flow (BF), volume (BV), mean transit time (MTT), permeability surface (PS). microvessel density (MVD), evaluated by...