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1.
Deep Learning of Multimodal Ultrasound: Stratifying the Response to Neoadjuvant Chemotherapy in Breast Cancer Before Treatment.
Oncologist
; 29(2): e187-e197, 2024 Feb 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-37669223
2.
Combining Deep Learning and Handcrafted Radiomics for Classification of Suspicious Lesions on Contrast-enhanced Mammograms.
Radiology
; 307(5): e221843, 2023 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-37338353
3.
The clinical importance of the host anti-tumour reaction patterns in regional tumour draining lymph nodes in patients with locally advanced resectable gastric cancer: a systematic review and meta-analysis.
Gastric Cancer
; 26(6): 847-862, 2023 Nov.
Artículo
en Inglés
| MEDLINE | ID: mdl-37776394
4.
A fully automatic artificial intelligence-based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis.
Eur Radiol
; 32(4): 2188-2199, 2022 Apr.
Artículo
en Inglés
| MEDLINE | ID: mdl-34842959
5.
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions.
Inf Fusion
; 82: 99-122, 2022 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-35664012
6.
Structural and functional radiomics for lung cancer.
Eur J Nucl Med Mol Imaging
; 48(12): 3961-3974, 2021 11.
Artículo
en Inglés
| MEDLINE | ID: mdl-33693966
7.
Diagnosis of Invasive Lung Adenocarcinoma Based on Chest CT Radiomic Features of Part-Solid Pulmonary Nodules: A Multicenter Study.
Radiology
; 297(2): 451-458, 2020 11.
Artículo
en Inglés
| MEDLINE | ID: mdl-32840472
8.
Development of a clinical decision support system for severity risk prediction and triage of COVID-19 patients at hospital admission: an international multicentre study.
Eur Respir J
; 56(2)2020 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-32616597
9.
Preoperative CT-based radiomics combined with intraoperative frozen section is predictive of invasive adenocarcinoma in pulmonary nodules: a multicenter study.
Eur Radiol
; 30(5): 2680-2691, 2020 May.
Artículo
en Inglés
| MEDLINE | ID: mdl-32006165
10.
The Emerging Role of Radiomics in COPD and Lung Cancer.
Respiration
; 99(2): 99-107, 2020.
Artículo
en Inglés
| MEDLINE | ID: mdl-31991420
11.
Diagnosis of Invasive Lung Adenocarcinoma Based on Chest CT Radiomic Features of Part-Solid Pulmonary Nodules: A Multicenter Study.
Radiology
; 297(2): E282, 2020 Nov.
Artículo
en Inglés
| MEDLINE | ID: mdl-33074784
12.
Reply to "COVID-19 prediction models should adhere to methodological and reporting standards".
Eur Respir J
; 56(3)2020 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-32817260
13.
Computational methods for metastasis detection in lymph nodes and characterization of the metastasis-free lymph node microarchitecture: A systematic-narrative hybrid review.
J Pathol Inform
; 15: 100367, 2024 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-38455864
14.
Development of Clinical Radiomics-Based Models to Predict Survival Outcome in Pancreatic Ductal Adenocarcinoma: A Multicenter Retrospective Study.
Diagnostics (Basel)
; 14(7)2024 Mar 28.
Artículo
en Inglés
| MEDLINE | ID: mdl-38611625
15.
Prognostic models for colorectal cancer recurrence using carcinoembryonic antigen measurements.
Front Oncol
; 14: 1368120, 2024.
Artículo
en Inglés
| MEDLINE | ID: mdl-38873251
16.
Development and benchmarking of a Deep Learning-based MRI-guided gross tumor segmentation algorithm for Radiomics analyses in extremity soft tissue sarcomas.
Radiother Oncol
; 197: 110338, 2024 May 22.
Artículo
en Inglés
| MEDLINE | ID: mdl-38782301
17.
A clinically relevant computed tomography (CT) radiomics strategy for intracranial rodent brain tumour monitoring.
Sci Rep
; 14(1): 2720, 2024 02 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-38302657
18.
MSCDA: Multi-level semantic-guided contrast improves unsupervised domain adaptation for breast MRI segmentation in small datasets.
Neural Netw
; 165: 119-134, 2023 Aug.
Artículo
en Inglés
| MEDLINE | ID: mdl-37285729
19.
From Head and Neck Tumour and Lymph Node Segmentation to Survival Prediction on PET/CT: An End-to-End Framework Featuring Uncertainty, Fairness, and Multi-Region Multi-Modal Radiomics.
Cancers (Basel)
; 15(7)2023 Mar 23.
Artículo
en Inglés
| MEDLINE | ID: mdl-37046593
20.
An Interpretable Radiomics Model Based on Two-Dimensional Shear Wave Elastography for Predicting Symptomatic Post-Hepatectomy Liver Failure in Patients with Hepatocellular Carcinoma.
Cancers (Basel)
; 15(21)2023 Nov 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-37958476