110 related articles for article (PubMed ID: 31572747)
1. Erratum: Prostate cancer detection from multi-institution multiparametric MRIs using deep convolutional neural networks system (Erratum).
Sumathipala Y; Lay N; Turkbey B; Smith C; Choyke PL; Summers RM
J Med Imaging (Bellingham); 2019 Jul; 6(3):039803. PubMed ID: 31572747
[TBL] [Abstract][Full Text] [Related]
2. Prostate cancer detection from multi-institution multiparametric MRIs using deep convolutional neural networks.
Sumathipala Y; Lay N; Turkbey B; Smith C; Choyke PL; Summers RM
J Med Imaging (Bellingham); 2018 Oct; 5(4):044507. PubMed ID: 30840728
[TBL] [Abstract][Full Text] [Related]
3. Erratum: Multilabel segmentation of cancer cell culture on vascular structures with deep neural networks (Erratum).
Rahkonen S; Koskinen E; Pölönen I; Heinonen T; Ylikomi T; Äyrämö S; Eskelinen MA
J Med Imaging (Bellingham); 2020 Mar; 7(2):029801. PubMed ID: 32377546
[TBL] [Abstract][Full Text] [Related]
4. Semi-automatic classification of prostate cancer on multi-parametric MR imaging using a multi-channel 3D convolutional neural network.
Aldoj N; Lukas S; Dewey M; Penzkofer T
Eur Radiol; 2020 Feb; 30(2):1243-1253. PubMed ID: 31468158
[TBL] [Abstract][Full Text] [Related]
5. Co-trained convolutional neural networks for automated detection of prostate cancer in multi-parametric MRI.
Yang X; Liu C; Wang Z; Yang J; Min HL; Wang L; Cheng KT
Med Image Anal; 2017 Dec; 42():212-227. PubMed ID: 28850876
[TBL] [Abstract][Full Text] [Related]
6. Erratum: Contextual Integration in Cortical and Convolutional Neural Networks.
Frontiers Production Office
Front Comput Neurosci; 2020; 14():67. PubMed ID: 32733225
[TBL] [Abstract][Full Text] [Related]
7. Erratum: Segmentation and classification of consumer-grade and dermoscopic skin cancer images using hybrid textural analysis system (Erratum).
Saleem A; Bhatti N; Ashraf A; Zia M; Mahmood H
J Med Imaging (Bellingham); 2019 Jul; 6(3):039802. PubMed ID: 31528663
[TBL] [Abstract][Full Text] [Related]
8. Computer-aided diagnosis of prostate cancer using a deep convolutional neural network from multiparametric MRI.
Song Y; Zhang YD; Yan X; Liu H; Zhou M; Hu B; Yang G
J Magn Reson Imaging; 2018 Dec; 48(6):1570-1577. PubMed ID: 29659067
[TBL] [Abstract][Full Text] [Related]
9. Erratum: Deep convolutional neural networks-based scatterer density and resolution estimators in optical coherence tomography: erratum.
Seesan T; Abd El-Sadek I; Mukherjee P; Zhu L; Oikawa K; Miyazawa A; Shen LT; Matsusaka S; Buranasiri P; Makita S; Yasuno Y
Biomed Opt Express; 2024 Mar; 15(3):1694-1696. PubMed ID: 38495720
[TBL] [Abstract][Full Text] [Related]
10. Theory of deep convolutional neural networks: Downsampling.
Zhou DX
Neural Netw; 2020 Apr; 124():319-327. PubMed ID: 32036229
[TBL] [Abstract][Full Text] [Related]
11. Erratum: Lessons From Deep Neural Networks for Studying the Coding Principles of Biological Neural Networks.
Frontiers Production Office
Front Syst Neurosci; 2022; 16():977573. PubMed ID: 36061947
[TBL] [Abstract][Full Text] [Related]
12. Erratum: Back-irradiated and dual-screen sandwich detector configurations for radiography (Erratum).
Lubinsky AR; Howansky A; Zheng H; Zhao W
J Med Imaging (Bellingham); 2019 Jul; 6(3):039801. PubMed ID: 31423457
[TBL] [Abstract][Full Text] [Related]
13. A Transfer Learning Approach for Malignant Prostate Lesion Detection on Multiparametric MRI.
Chen Q; Hu S; Long P; Lu F; Shi Y; Li Y
Technol Cancer Res Treat; 2019 Jan; 18():1533033819858363. PubMed ID: 31221034
[TBL] [Abstract][Full Text] [Related]
14. Erratum: Automated CT Staging of Chronic Obstructive Pulmonary Disease Severity for Predicting Disease Progression and Mortality with a Deep Learning Convolutional Neural Network.
Hasenstab KA; Yuan N; Retson T; Conrad DJ; Kligerman S; Lynch DA; Hsiao A;
Radiol Cardiothorac Imaging; 2022 Feb; 4(1):e219002. PubMed ID: 35782763
[TBL] [Abstract][Full Text] [Related]
15. Corrigendum to "Identification of Tomato Disease Types and Detection of Infected Areas Based on Deep Convolutional Neural Networks and Object Detection Techniques".
Wang Q; Qi F; Sun M; Qu J; Xue J
Comput Intell Neurosci; 2021; 2021():3751479. PubMed ID: 33628211
[TBL] [Abstract][Full Text] [Related]
16. Erratum: Retinal image mosaicking using scale-invariant feature transformation feature descriptors and Voronoi diagram (Erratum).
Jalili J; Hejazi SM; Riazi-Esfahani M; Eliasi A; Ebrahimi M; Seydi M; Fard MA; Ahmadian A
J Med Imaging (Bellingham); 2020 Jul; 7(4):049801. PubMed ID: 32743018
[TBL] [Abstract][Full Text] [Related]
17. Erratum: Large-field-of-view optical elastography using digital image correlation for biological soft tissue investigation (erratum).
Claus D; Mlikota M; Geibel J; Reichenbach T; Pedrini G; Mischinger J; Schmauder S; Osten W
J Med Imaging (Bellingham); 2017 Apr; 4(2):029801. PubMed ID: 28612039
[TBL] [Abstract][Full Text] [Related]
18. Fully automated segmentation of prostate whole gland and transition zone in diffusion-weighted MRI using convolutional neural networks.
Clark T; Zhang J; Baig S; Wong A; Haider MA; Khalvati F
J Med Imaging (Bellingham); 2017 Oct; 4(4):041307. PubMed ID: 29057288
[TBL] [Abstract][Full Text] [Related]
19. Brain tumor segmentation in multi-spectral MRI using convolutional neural networks (CNN).
Iqbal S; Ghani MU; Saba T; Rehman A
Microsc Res Tech; 2018 Apr; 81(4):419-427. PubMed ID: 29356229
[TBL] [Abstract][Full Text] [Related]
20. Zero-Echo-Time and Dixon Deep Pseudo-CT (ZeDD CT): Direct Generation of Pseudo-CT Images for Pelvic PET/MRI Attenuation Correction Using Deep Convolutional Neural Networks with Multiparametric MRI.
Leynes AP; Yang J; Wiesinger F; Kaushik SS; Shanbhag DD; Seo Y; Hope TA; Larson PEZ
J Nucl Med; 2018 May; 59(5):852-858. PubMed ID: 29084824
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
