Research graph
References from Artificial intelligence for evaluation of magnetic resonance imaging-detected extramural vascular invasion in rectal cancer. Local targets link to admitted publications; unresolved targets remain external evidence.
Cancer statistics, 2024
2024 · External reference
Colorectal cancer
10.1016/s0140-6736(19)32319-0 · 2019 · External reference
Has the new TNM classification for colorectal cancer improved care?
10.1038/nrclinonc.2011.157 · 2011 · External reference
MRI anatomy of the rectum: Key concepts important for rectal cancer staging and treatment planning
10.1186/s13244-022-01348-8 · 2023 · External reference
Invasion of veins by carcinoma of rectum: Method of detection, histological features and significance
10.1111/j.1365-2559.1981.tb01774.x · 1981 · External reference
Prognostic significance of magnetic resonance imaging-detected extramural vascular invasion in rectal cancer
10.1002/bjs.5917 · 2008 · External reference
MRI of extramural venous invasion in locally advanced rectal cancer: relationship to tumor recurrence and overall survival
10.1148/radiol.2018172889 · 2018 · External reference
A meta-analysis comparing the risk of metastases in patients with rectal cancer and MRI-detected extramural vascular invasion (mrEMVI) vs mrEMVI-negative cases
10.1038/bjc.2017.99 · 2017 · External reference
MRI of extramural venous invasion in rectal cancer: A new marker for patient prognosis?
10.1148/radiol.2018181689 · 2018 · External reference
Prognostic aspects of dynamic contrast-enhanced magnetic resonance imaging in synchronous distant metastatic rectal cancer
10.1007/s00330-016-4532-y · 2017 · External reference
The prognostic significance of postchemoradiotherapy high-resolution MRI and histopathology detected extramural venous invasion in rectal cancer
10.1097/sla.0000000000000848 · 2015 · External reference
Rectal cancer: ESMO clinical practice guidelines for diagnosis, treatment and follow-up
10.1093/annonc/mdx224 · 2017 · External reference
Magnetic resonance imaging for clinical management of rectal cancer: Updated recommendations from the 2016 European Society of Gastrointestinal and Abdominal Radiology (ESGAR) consensus meeting
10.1007/s00330-017-5026-2 · 2018 · External reference
The use of MR imaging in treatment planning for patients with rectal carcinoma: Have you checked the “DISTANCE”?
10.1148/radiol.13121361 · 2013 · External reference
An MRI-based scoring system for pretreatment risk stratification in locally advanced rectal cancer
10.1038/s41416-023-02384-x · 2023 · External reference
The prognostic significance of MRI-detected extramural venous invasion, mesorectal extension, and lymph node status in clinical T3 mid-low rectal cancer
10.1038/s41598-019-47466-0 · 2019 · External reference
MRI-based radiomic models for the preoperative prediction of extramural venous invasion in rectal cancer: A systematic review and meta-analysis
10.1016/j.clinimag.2024.110146 · 2024 · External reference
Medical image analysis using convolutional neural networks: A review
10.1007/s10916-018-1088-1 · 2018 · External reference
Artificial intelligence and deep learning for upper gastrointestinal neoplasia
10.1053/j.gastro.2021.11.040 · 2022 · External reference
Deriving external forces via convolutional neural networks for biomedical image segmentation
10.1364/boe.10.003800 · 2019 · External reference
Artificial intelligence-based non-invasive tumor segmentation, grade stratification and prognosis prediction for clear-cell renal-cell carcinoma
10.1093/pcmedi/pbad019 · 2023 · External reference
Deep learning-based fully automated detection and segmentation of lymph nodes on multiparametric-mri for rectal cancer: A multicentre study
10.1016/j.ebiom.2020.102780 · 2020 · External reference
Establishment and clinical application value of an automatic diagnosis platform for rectal cancer T-staging based on a deep neural network
10.1097/cm9.0000000000001401 · 2021 · External reference
An automated deep learning pipeline for EMVI classification and response prediction of rectal cancer using baseline MRI: a multi-centre study
10.1038/s41698-024-00516-x · 2024 · External reference
Automated segmentation of endometrial cancer on MR images using deep learning
10.1038/s41598-020-80068-9 · 2021 · External reference
Brain tumor segmentation using an ensemble of 3D U-nets and overall survival prediction using radiomic features
10.3389/fncom.2020.00025 · 2020 · External reference
Development and evaluation of two open-source nnU-Net models for automatic segmentation of lung tumors on PET and CT images with and without respiratory motion compensation
10.1007/s00330-024-10751-2 · 2024 · External reference
Direct three-dimensional segmentation of prostate glands with nnU-Net
10.1117/1.jbo.29.3.036001 · 2024 · External reference
Deep learning and registration-based mapping for analyzing the distribution of nodal metastases in head and neck cancer cohorts: Informing optimal radiotherapy target volume design
10.3390/cancers15184620 · 2023 · External reference
10.1038/s41592-020-01008-z · 2021 · Admitted local publication
A comparative study of automated deep learning segmentation models for prostate MRI
10.3390/cancers15051467 · 2023 · External reference
10.1109/cbms61543.2024.00086
10.1109/cbms61543.2024.00086 · External reference
Unresolved reference
2017 · External reference
3D MRI brain tumor segmentation using autoencoder regularization.
2018 · External reference
Swin UNETR: Swin transformers for semantic segmentation of brain tumors in MRI images.
2022 · External reference
UNETR++: Delving into efficient and accurate 3D medical image segmentation
10.1109/tmi.2024.3398728 · 2024 · External reference
Multiparameter MRI-based radiomics for preoperative prediction of extramural venous invasion in rectal cancer
10.1007/s00330-021-08242-9 · 2022 · External reference
Image Synthesis-Based Late Stage Cancer Augmentation and Semi-supervised Segmentation for MRI Rectal Cancer Staging.
2022 · External reference
A convolutional deep learning model for improving mammographic breast-microcalcification diagnosis
10.1038/s41598-021-03516-0 · 2021 · External reference
Validation of a deep learning computer aided system for CT based lung nodule detection, classification, and growth rate estimation in a routine clinical population
10.1371/journal.pone.0266799 · 2022 · External reference
Which tumour factors preclude organ preservation in patients with rectal cancer?
10.1016/j.radonc.2023.110054 · 2024 · External reference
The prognostic significance of MRI-detected extramural venous invasion in rectal carcinoma
10.1016/j.crad.2014.01.010 · 2014 · External reference
The multidisciplinary management of rectal cancer
10.1038/s41575-020-0275-y · 2020 · External reference
Serum metabolic traits reveal therapeutic toxicities and responses of neoadjuvant chemoradiotherapy in patients with rectal cancer
10.1038/s41467-022-35511-y · 2022 · External reference
Development and validation of a radiopathomics model to predict pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: A multicentre observational study
2022 · External reference
Advances and challenges in treatment of locally advanced rectal cancer
10.1200/jco.2014.60.1054 · 2015 · External reference
Long-term outcome in patients with a pathological complete response after chemoradiation for rectal cancer: A pooled analysis of individual patient data
10.1016/s1470-2045(10)70172-8 · 2010 · External reference
Watch-and-wait approach to rectal cancer: The role of imaging
10.1148/radiol.221529 · 2023 · External reference
Organ preservation in patients with rectal adenocarcinoma treated with total neoadjuvant therapy
10.1200/jco.22.00032 · 2022 · External reference
A watch-and-wait approach for locally advanced rectal cancer after a clinical complete response following neoadjuvant chemoradiation: A systematic review and meta-analysis
10.1016/s2468-1253(17)30074-2 · 2017 · External reference
