143 related articles for article (PubMed ID: 36250139)
41. IVIM using convolutional neural networks predicts microvascular invasion in HCC.
Liu B; Zeng Q; Huang J; Zhang J; Zheng Z; Liao Y; Deng K; Zhou W; Xu Y
Eur Radiol; 2022 Oct; 32(10):7185-7195. PubMed ID: 35713662
[TBL] [Abstract][Full Text] [Related]
42. Deep learning to differentiate parkinsonian disorders separately using single midsagittal MR imaging: a proof of concept study.
Kiryu S; Yasaka K; Akai H; Nakata Y; Sugomori Y; Hara S; Seo M; Abe O; Ohtomo K
Eur Radiol; 2019 Dec; 29(12):6891-6899. PubMed ID: 31264017
[TBL] [Abstract][Full Text] [Related]
43. Radiomic machine learning for pretreatment assessment of prognostic risk factors for endometrial cancer and its effects on radiologists' decisions of deep myometrial invasion.
Otani S; Himoto Y; Nishio M; Fujimoto K; Moribata Y; Yakami M; Kurata Y; Hamanishi J; Ueda A; Minamiguchi S; Mandai M; Kido A
Magn Reson Imaging; 2022 Jan; 85():161-167. PubMed ID: 34687853
[TBL] [Abstract][Full Text] [Related]
44. Is Deep Learning On Par with Human Observers for Detection of Radiographically Visible and Occult Fractures of the Scaphoid?
Langerhuizen DWG; Bulstra AEJ; Janssen SJ; Ring D; Kerkhoffs GMMJ; Jaarsma RL; Doornberg JN
Clin Orthop Relat Res; 2020 Nov; 478(11):2653-2659. PubMed ID: 32452927
[TBL] [Abstract][Full Text] [Related]
45. Magnetic Resonance Assessment of Peritoneal Carcinomatosis: Is There a True Benefit From Diffusion-Weighted Imaging?
Cianci R; Delli Pizzi A; Patriarca G; Massari R; Basilico R; Gabrielli D; Filippone A
Curr Probl Diagn Radiol; 2020; 49(6):392-397. PubMed ID: 31248709
[TBL] [Abstract][Full Text] [Related]
46. MRI-Based Machine Learning for Differentiating Borderline From Malignant Epithelial Ovarian Tumors: A Multicenter Study.
Li Y; Jian J; Pickhardt PJ; Ma F; Xia W; Li H; Zhang R; Zhao S; Cai S; Zhao X; Zhang J; Zhang G; Jiang J; Zhang Y; Wang K; Lin G; Feng F; Lu J; Deng L; Wu X; Qiang J; Gao X
J Magn Reson Imaging; 2020 Sep; 52(3):897-904. PubMed ID: 32045064
[TBL] [Abstract][Full Text] [Related]
47. Deep symmetric three-dimensional convolutional neural networks for identifying acute ischemic stroke via diffusion-weighted images.
Cui L; Han S; Qi S; Duan Y; Kang Y; Luo Y
J Xray Sci Technol; 2021; 29(4):551-566. PubMed ID: 33967077
[TBL] [Abstract][Full Text] [Related]
48. Evaluation and Monitoring of Endometrial Cancer Based on Magnetic Resonance Imaging Features of Deep Learning.
Tao J; Wang Y; Liang Y; Zhang A
Contrast Media Mol Imaging; 2022; 2022():5198592. PubMed ID: 35360265
[TBL] [Abstract][Full Text] [Related]
49. Detecting acute bilirubin encephalopathy in neonates based on multimodal MRI with deep learning.
Wu M; Shen X; Lai C; You Y; Zhao Z; Wu D
Pediatr Res; 2022 Apr; 91(5):1168-1175. PubMed ID: 34091603
[TBL] [Abstract][Full Text] [Related]
50. A Deep Learning Approach for MRI in the Diagnosis of Labral Injuries of the Hip Joint.
Ni M; Wen X; Chen W; Zhao Y; Yuan Y; Zeng P; Wang Q; Wang Y; Yuan H
J Magn Reson Imaging; 2022 Aug; 56(2):625-634. PubMed ID: 35081273
[TBL] [Abstract][Full Text] [Related]
51. A Deep Learning Model to Predict the Response to Neoadjuvant Chemoradiotherapy by the Pretreatment Apparent Diffusion Coefficient Images of Locally Advanced Rectal Cancer.
Zhu HT; Zhang XY; Shi YJ; Li XT; Sun YS
Front Oncol; 2020; 10():574337. PubMed ID: 33194680
[TBL] [Abstract][Full Text] [Related]
52. Development and validation of a deep learning model for breast lesion segmentation and characterization in multiparametric MRI.
Zhu J; Geng J; Shan W; Zhang B; Shen H; Dong X; Liu M; Li X; Cheng L
Front Oncol; 2022; 12():946580. PubMed ID: 36033449
[TBL] [Abstract][Full Text] [Related]
53. Using Deep Learning to Detect Spinal Cord Diseases on Thoracolumbar Magnetic Resonance Images of Dogs.
Biercher A; Meller S; Wendt J; Caspari N; Schmidt-Mosig J; De Decker S; Volk HA
Front Vet Sci; 2021; 8():721167. PubMed ID: 34796224
[No Abstract] [Full Text] [Related]
54. Deep learning for the determination of myometrial invasion depth and automatic lesion identification in endometrial cancer MR imaging: a preliminary study in a single institution.
Chen X; Wang Y; Shen M; Yang B; Zhou Q; Yi Y; Liu W; Zhang G; Yang G; Zhang H
Eur Radiol; 2020 Sep; 30(9):4985-4994. PubMed ID: 32337640
[TBL] [Abstract][Full Text] [Related]
55. Machine Learning to Differentiate T2-Weighted Hyperintense Uterine Leiomyomas from Uterine Sarcomas by Utilizing Multiparametric Magnetic Resonance Quantitative Imaging Features.
Nakagawa M; Nakaura T; Namimoto T; Iyama Y; Kidoh M; Hirata K; Nagayama Y; Yuki H; Oda S; Utsunomiya D; Yamashita Y
Acad Radiol; 2019 Oct; 26(10):1390-1399. PubMed ID: 30661978
[TBL] [Abstract][Full Text] [Related]
56. Combined subjective and quantitative analysis of magnetic resonance images could improve the diagnostic performance of deep myometrial invasion in endometrial cancer.
Deng L; Wang QP; Yan R; Yu N; Bai L; Duan XY; Guo YM
Clin Imaging; 2017; 43():69-73. PubMed ID: 28232207
[TBL] [Abstract][Full Text] [Related]
57. Accuracy of deep learning to differentiate the histopathological grading of meningiomas on MR images: A preliminary study.
Banzato T; Causin F; Della Puppa A; Cester G; Mazzai L; Zotti A
J Magn Reson Imaging; 2019 Oct; 50(4):1152-1159. PubMed ID: 30896065
[TBL] [Abstract][Full Text] [Related]
58. MRI-based radiomics model for distinguishing endometrial carcinoma from benign mimics: A multicenter study.
Chen X; Wang X; Gan M; Li L; Chen F; Pan J; Hou Z; Yan Z; Wang C
Eur J Radiol; 2022 Jan; 146():110072. PubMed ID: 34861530
[TBL] [Abstract][Full Text] [Related]
59. Convolutional Neural Network of Multiparametric MRI Accurately Detects Axillary Lymph Node Metastasis in Breast Cancer Patients With Pre Neoadjuvant Chemotherapy.
Ren T; Lin S; Huang P; Duong TQ
Clin Breast Cancer; 2022 Feb; 22(2):170-177. PubMed ID: 34384696
[TBL] [Abstract][Full Text] [Related]
60. MRI for local staging of endometrial carcinoma: Is endovenous contrast medium administration still needed?
Bonatti M; Stuefer J; Oberhofer N; Negri G; Tagliaferri T; Schifferle G; Messini S; Manfredi R; Bonatti G
Eur J Radiol; 2015 Feb; 84(2):208-14. PubMed ID: 25440994
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
