Nome |
# |
The second ESGAR consensus statement on CT colonography, file e0d6c92d-f9a0-fcf8-e053-d805fe0aa794
|
120
|
Automated segmentation of colorectal tumor in 3D MRI Using 3D multiscale densely connected convolutional neural network, file e0d6c92c-234d-fcf8-e053-d805fe0aa794
|
104
|
Clinical indications for computed tomographic colonography: European Society of Gastrointestinal Endoscopy (ESGE) and European Society of Gastrointestinal and Abdominal Radiology (ESGAR) Guideline, file e0d6c92f-31a1-fcf8-e053-d805fe0aa794
|
73
|
Radiomics and liquid biopsy in oncology: the holons of systems medicine, file e0d6c92b-0966-fcf8-e053-d805fe0aa794
|
59
|
How to read and report CTC, file e0d6c926-422a-fcf8-e053-d805fe0aa794
|
38
|
What the radiologist should know about artificial intelligence - an ESR white paper, file e0d6c92c-fe05-fcf8-e053-d805fe0aa794
|
38
|
A New SteatoScore in the Evaluation of Non-Alcoholic Liver Disease in Oncologic Patients, file 87d7181b-2c2b-494e-a6bf-c83f1c53c264
|
25
|
Incorporating dose–volume histogram parameters of swallowing organs at risk in a videofluoroscopy-based predictive model of radiation-induced dysphagia after head and neck cancer intensity-modulated radiation therapy, file e0d6c92f-c66b-fcf8-e053-d805fe0aa794
|
23
|
Human, All Too Human? An All-Around Appraisal of the “Artificial Intelligence Revolution” in Medical Imaging, file e0d6c931-d9e4-fcf8-e053-d805fe0aa794
|
22
|
Bowel preparation for CT colonography, file e0d6c926-4229-fcf8-e053-d805fe0aa794
|
21
|
Radiology reporting in oncology—oncologists’ perspective, file b6147ef8-caf1-40cd-acc5-5593c090ac60
|
19
|
Determining the elastography strain ratio cut off value for differentiating benign from malignant breast lesions: systematic review and meta-analysis, file e0d6c931-f1d7-fcf8-e053-d805fe0aa794
|
14
|
A multiparametric approach to improve the prediction of response to immunotherapy in patients with metastatic NSCLC, file e0d6c92f-d61a-fcf8-e053-d805fe0aa794
|
12
|
Imaging biomarkers in upper gastrointestinal cancers, file 55034e69-8f75-4a6b-9b1d-a59ffa5eb799
|
11
|
ESR paper on the proper use of mobile devices in radiology, file e0d6c92b-ac0c-fcf8-e053-d805fe0aa794
|
10
|
Can Magnetic Resonance Radiomics Analysis Discriminate Parotid Gland Tumors? A Pilot Study, file 84ca1cce-b8ef-43be-924c-dea245053385
|
9
|
Artificial intelligence, radiomics and other horizons in body composition assessment, file f09d8b7e-84e7-4aa5-8d82-c2c02fdbdb6d
|
9
|
Magnetic resonance enterography in Crohn's disease: How we do it and common imaging findings, file 35cd5e37-75fe-4029-af6e-997eab27590a
|
8
|
Percutaneous ct fluoroscopy-guided core needle biopsy of mediastinal masses: Technical outcome and complications of 155 procedures during a 10-year period, file be43466d-a098-4bda-9bc0-5f995d2607f3
|
8
|
Computed tomography colonography for the practicing radiologist: A review of current recommendations on methodology and clinical indications, file e0d6c928-b58d-fcf8-e053-d805fe0aa794
|
8
|
Role of perfusion CT in the evaluation of functional primary tumour response after radiochemotherapy in head and neck cancer: Preliminary findings, file e0d6c930-bf27-fcf8-e053-d805fe0aa794
|
8
|
PRIMAGE project: predictive in silico multiscale analytics to support childhood cancer personalised evaluation empowered by imaging biomarkers, file e0d6c931-3744-fcf8-e053-d805fe0aa794
|
8
|
Imaging of adverse events related to checkpoint inhibitor therapy, file 088a0ef2-443c-45d0-b090-1cad0e888e74
|
7
|
Low-dose CT angiography: which contrast medium? Reply., file e0d6c926-422b-fcf8-e053-d805fe0aa794
|
7
|
Digital liver biopsy: Bio-imaging of fatty liver for translational and clinical research, file e0d6c92a-ea6c-fcf8-e053-d805fe0aa794
|
7
|
RSNA International Trends: A Global Perspective on the COVID-19 Pandemic and Radiology in Late 2020, file e0d6c92f-d192-fcf8-e053-d805fe0aa794
|
7
|
DICOM-MIABIS integration model for biobanks: a use case of the EU PRIMAGE project, file ee2ad241-18d2-4e28-9a2f-62eeadd3cccc
|
7
|
ESR Position Paper on Imaging Biobanks, file e0d6c92a-8c9d-fcf8-e053-d805fe0aa794
|
6
|
Validated imaging biomarkers as decision-making tools in clinical trials and routine practice: current status and recommendations from the EIBALL* subcommittee of the European Society of Radiology (ESR), file e0d6c931-0ed0-fcf8-e053-d805fe0aa794
|
6
|
Can the computed tomography texture analysis of colorectal liver metastases predict the response to first-line cytotoxic chemotherapy?, file e0d6c931-f1d8-fcf8-e053-d805fe0aa794
|
6
|
Prognostic Role of the Progression of Late Gadolinium Enhancement in Hypertrophic Cardiomyopathy, file 8d0af71e-8f4f-4d37-bad9-03f642d16109
|
5
|
A first look into radiomics application in testicular imaging: A systematic review, file b3070641-eea0-4eb7-8a89-ba94320d24bf
|
5
|
Integration of imaging biomarkers into systems biomedicine: a renaissance for medical imaging, file e0d6c92d-3d06-fcf8-e053-d805fe0aa794
|
5
|
Multiparametric Skin Assessment in a Monocentric Cohort of Systemic Sclerosis Patients: Is There a Role for Ultra-High Frequency Ultrasound?, file 95118b9d-6735-4ae0-87f2-99fb760e488d
|
4
|
Reduced and Full-Preparation CT Colonography, Fecal Immunochemical Test, and Colonoscopy for Population Screening of Colorectal Cancer: A Randomized Trial, file e0d6c92c-fe69-fcf8-e053-d805fe0aa794
|
4
|
Structured Reporting of Computed Tomography in the Staging of Neuroendocrine Neoplasms: A Delphi Consensus Proposal, file e0d6c932-1640-fcf8-e053-d805fe0aa794
|
4
|
Dark papillary muscles sign: a novel prognostic marker for cardiac magnetic resonance, file 408815c8-b806-46cf-8226-5ceb8668af72
|
3
|
An overview on multimodal imaging for the diagnostic workup of pleural mesothelioma, file 88cf7ac5-9951-4d8a-b1f6-9fcacfc80e18
|
3
|
80-kV pulmonary CT angiography with 40 mL of iodinated contrast material in lean patients: comparison of vascular enhancement with iodixanol (320 mg I/mL) and iomeprol (400 mg I/mL), file d23110b6-3baf-4b2e-b123-e2e07d996754
|
3
|
Radiomics and magnetic resonance imaging of rectal cancer: From engineering to clinical practice, file e0d6c931-715a-fcf8-e053-d805fe0aa794
|
3
|
Evolving paradigms in transcatheter aortic valve replacement: results from a high-volume, single center experience, file 06a162bb-4913-48e3-bbe1-984518588df0
|
2
|
Attitudes and perceptions of radiologists towards online (virtual) oncologic multidisciplinary team meetings during the COVID-19 pandemic-a survey of the European Society of Oncologic Imaging (ESOI), file 8f3fdf09-c7a3-48c1-b6de-aaf0f0dca95e
|
2
|
Haralick's texture features for the prediction of response to therapy in colorectal cancer: a preliminary study, file e0d6c929-fe9d-fcf8-e053-d805fe0aa794
|
2
|
ESR paper on structured reporting in radiology, file e0d6c92b-9066-fcf8-e053-d805fe0aa794
|
2
|
Adversarial radiomics: the rising of potential risks in medical imaging from adversarial learning, file e0d6c92e-cca4-fcf8-e053-d805fe0aa794
|
2
|
Abdominal and gastrointestinal manifestations in COVID-19 patients: Is imaging useful?, file e0d6c931-3bad-fcf8-e053-d805fe0aa794
|
2
|
PI-RADS v2.1: What has changed and how to report, file e0d6c931-a800-fcf8-e053-d805fe0aa794
|
2
|
Structured reporting of x-ray mammography in the first diagnosis of breast cancer: a Delphi consensus proposal, file e0d6c931-c9d1-fcf8-e053-d805fe0aa794
|
2
|
Twenty Years On: RECIST as a Biomarker of Response in Solid Tumours an EORTC Imaging Group – ESOI Joint Paper, file e0d6c931-d741-fcf8-e053-d805fe0aa794
|
2
|
Structured reporting of lung cancer staging: A consensus proposal, file e0d6c931-faf5-fcf8-e053-d805fe0aa794
|
2
|
New updates of the imaging role in diagnosis, staging, and response treatment of malignant pleural mesothelioma, file e0d6c931-faf6-fcf8-e053-d805fe0aa794
|
2
|
Computed tomography structured reporting in the staging of lymphoma: A delphi consensus proposal, file e0d6c931-faf8-fcf8-e053-d805fe0aa794
|
2
|
Accuracy of Radiomics in Predicting IDH Mutation Status in Diffuse Gliomas: A Bivariate Meta-Analysis, file 060834bc-a4fa-4059-b10b-f61034d0fa6f
|
1
|
Usefulness of MRI-based radiomic features for distinguishing Warthin tumor from pleomorphic adenoma: performance assessment using T2-weighted and post-contrast T1-weighted MR images, file 8f2d0be8-cb06-41a5-bcca-fc02b4a83f86
|
1
|
Contrast-induced acute kidney injury: what radiologists should know, file 982e604f-a00b-40d4-8ed2-f9461292c19e
|
1
|
Lipomatous metaplasia as the most reliable computed tomography predictor for functional substrate localization in scar-related ventricular tachycardia, file a4c1f0b4-f08c-46f3-8335-1eb08bfea5fb
|
1
|
Post-Mortem Cardiac Magnetic Resonance in Explanted Heart of Patients with Sudden Death, file d24f332d-e89e-45ae-b690-32cd93e8b7eb
|
1
|
How to read and report CTC, file e0d6c926-17b3-fcf8-e053-d805fe0aa794
|
1
|
Diagnostic accuracy of CT colonography in patients with positive faecal occult blood test: results of the Italian project, file e0d6c926-298a-fcf8-e053-d805fe0aa794
|
1
|
The "Braids Lady" of Arezzo: a case of rheumatoid arthritis in a 16th century mummy, file e0d6c926-336c-fcf8-e053-d805fe0aa794
|
1
|
The "Braids Lady" of Arezzo: a case of rheumatoid arthritis in a 16th century mummy, file e0d6c926-336d-fcf8-e053-d805fe0aa794
|
1
|
null, file e0d6c928-a99f-fcf8-e053-d805fe0aa794
|
1
|
Automatic Segmentation of Colorectal Cancer in 3D MRI by Combining Deep Learning and 3D Level-Set Algorithm–A Preliminary Study, file e0d6c92b-ac10-fcf8-e053-d805fe0aa794
|
1
|
Structured reporting of computed tomography and magnetic resonance in the staging of pancreatic adenocarcinoma: A delphi consensus proposal, file e0d6c931-f7b8-fcf8-e053-d805fe0aa794
|
1
|
Bridging gaps between images and data: a systematic update on imaging biobanks, file e67d6229-e1fc-40ea-9f88-079ba5b295a0
|
1
|
Cardiac Magnetic Resonance in Fabry Disease: Morphological, Functional, and Tissue Features, file f689ba62-2de1-45b9-b306-90387ee515db
|
1
|
Totale |
777 |