Detalhe da pesquisa
1.
Heterogeneous Tumor-Immune Microenvironments among Differentially Growing Metastases in an Ovarian Cancer Patient.
Cell
; 170(5): 927-938.e20, 2017 Aug 24.
Artigo
em Inglês
| MEDLINE | ID: mdl-28841418
2.
Assessing Endoscopic Response in Locally Advanced Rectal Cancer Treated with Total Neoadjuvant Therapy: Development and Validation of a Highly Accurate Convolutional Neural Network.
Ann Surg Oncol
; 2024 May 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-38700799
3.
Deep Learning-Based Model for Identifying Tumors in Endoscopic Images From Patients With Locally Advanced Rectal Cancer Treated With Total Neoadjuvant Therapy.
Dis Colon Rectum
; 66(3): 383-391, 2023 03 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-35358109
4.
A machine learning model that classifies breast cancer pathologic complete response on MRI post-neoadjuvant chemotherapy.
Breast Cancer Res
; 22(1): 57, 2020 05 28.
Artigo
em Inglês
| MEDLINE | ID: mdl-32466777
5.
Integration of proteomics with CT-based qualitative and radiomic features in high-grade serous ovarian cancer patients: an exploratory analysis.
Eur Radiol
; 30(8): 4306-4316, 2020 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-32253542
6.
Automated Breast Density Measurements From Chest Computed Tomography Scans.
J Med Syst
; 43(8): 242, 2019 Jun 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-31230138
7.
MR Imaging of Rectal Cancer: Radiomics Analysis to Assess Treatment Response after Neoadjuvant Therapy.
Radiology
; 287(3): 833-843, 2018 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-29514017
8.
Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images.
Proc Natl Acad Sci U S A
; 112(46): E6265-73, 2015 Nov 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-26578786
9.
Differentiation of Uterine Leiomyosarcoma from Atypical Leiomyoma: Diagnostic Accuracy of Qualitative MR Imaging Features and Feasibility of Texture Analysis.
Eur Radiol
; 27(7): 2903-2915, 2017 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-27921159
10.
A novel representation of inter-site tumour heterogeneity from pre-treatment computed tomography textures classifies ovarian cancers by clinical outcome.
Eur Radiol
; 27(9): 3991-4001, 2017 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-28289945
11.
Breast cancer molecular subtype classifier that incorporates MRI features.
J Magn Reson Imaging
; 44(1): 122-9, 2016 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-26756416
12.
Breast cancer subtype intertumor heterogeneity: MRI-based features predict results of a genomic assay.
J Magn Reson Imaging
; 42(5): 1398-406, 2015 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-25850931
13.
Haralick texture analysis of prostate MRI: utility for differentiating non-cancerous prostate from prostate cancer and differentiating prostate cancers with different Gleason scores.
Eur Radiol
; 25(10): 2840-50, 2015 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-25991476
14.
Wasserstein HOG: Local Directionality Extraction via Optimal Transport.
IEEE Trans Med Imaging
; 43(3): 916-927, 2024 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-37874704
15.
Artificial intelligence-based automated segmentation and radiotherapy dose mapping for thoracic normal tissues.
Phys Imaging Radiat Oncol
; 29: 100542, 2024 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-38369989
16.
Auto-segmentation of neck nodal metastases using self-distilled masked image transformer on longitudinal MR images.
BJR Artif Intell
; 1(1): ubae004, 2024 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-38476956
17.
A model for gastrointestinal tract motility in a 4D imaging phantom of human anatomy.
Med Phys
; 50(5): 3066-3075, 2023 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-36808107
18.
Deep learning-based dominant index lesion segmentation for MR-guided radiation therapy of prostate cancer.
Med Phys
; 50(8): 4854-4870, 2023 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-36856092
19.
Progressively refined deep joint registration segmentation (ProRSeg) of gastrointestinal organs at risk: Application to MRI and cone-beam CT.
Med Phys
; 50(8): 4758-4774, 2023 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-37265185
20.
Artificial Intelligence in CT and MR Imaging for Oncological Applications.
Cancers (Basel)
; 15(9)2023 Apr 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-37174039