156 related articles for article (PubMed ID: 38689289)
21. DeepSeg: deep neural network framework for automatic brain tumor segmentation using magnetic resonance FLAIR images.
Zeineldin RA; Karar ME; Coburger J; Wirtz CR; Burgert O
Int J Comput Assist Radiol Surg; 2020 Jun; 15(6):909-920. PubMed ID: 32372386
[TBL] [Abstract][Full Text] [Related]
22. Deep learning-based convolutional neural network for intramodality brain MRI synthesis.
Osman AFI; Tamam NM
J Appl Clin Med Phys; 2022 Apr; 23(4):e13530. PubMed ID: 35044073
[TBL] [Abstract][Full Text] [Related]
23. A Robust End-to-End Deep Learning-Based Approach for Effective and Reliable BTD Using MR Images.
Ullah N; Khan MS; Khan JA; Choi A; Anwar MS
Sensors (Basel); 2022 Oct; 22(19):. PubMed ID: 36236674
[TBL] [Abstract][Full Text] [Related]
24. A dual autoencoder and singular value decomposition based feature optimization for the segmentation of brain tumor from MRI images.
Aswani K; Menaka D
BMC Med Imaging; 2021 May; 21(1):82. PubMed ID: 33985449
[TBL] [Abstract][Full Text] [Related]
25. Image Features of Magnetic Resonance Imaging under the Deep Learning Algorithm in the Diagnosis and Nursing of Malignant Tumors.
Sun L; Hu X; Liu Y; Cai H
Contrast Media Mol Imaging; 2021; 2021():1104611. PubMed ID: 34548850
[TBL] [Abstract][Full Text] [Related]
26. A Review of Various Machine Learning Techniques for Brain Tumor Detection from MRI Images.
Bajaj AS; Chouhan U
Curr Med Imaging; 2020; 16(8):937-945. PubMed ID: 33081656
[TBL] [Abstract][Full Text] [Related]
27. Super-resolution of brain tumor MRI images based on deep learning.
Zhou Z; Ma A; Feng Q; Wang R; Cheng L; Chen X; Yang X; Liao K; Miao Y; Qiu Y
J Appl Clin Med Phys; 2022 Nov; 23(11):e13758. PubMed ID: 36107021
[TBL] [Abstract][Full Text] [Related]
28. AI-based model for automatic identification of multiple sclerosis based on enhanced sea-horse optimizer and MRI scans.
Khattap MG; Abd Elaziz M; Hassan HGEMA; Elgarayhi A; Sallah M
Sci Rep; 2024 May; 14(1):12104. PubMed ID: 38802440
[TBL] [Abstract][Full Text] [Related]
29. AI-based MRI auto-segmentation of brain tumor in rodents, a multicenter study.
Wang S; Pang X; de Keyzer F; Feng Y; Swinnen JV; Yu J; Ni Y
Acta Neuropathol Commun; 2023 Jan; 11(1):11. PubMed ID: 36641470
[TBL] [Abstract][Full Text] [Related]
30. An enhanced deep learning approach for brain cancer MRI images classification using residual networks.
Abdelaziz Ismael SA; Mohammed A; Hefny H
Artif Intell Med; 2020 Jan; 102():101779. PubMed ID: 31980109
[TBL] [Abstract][Full Text] [Related]
31. A Deep Learning Approach to Diagnostic Classification of Prostate Cancer Using Pathology-Radiology Fusion.
Khosravi P; Lysandrou M; Eljalby M; Li Q; Kazemi E; Zisimopoulos P; Sigaras A; Brendel M; Barnes J; Ricketts C; Meleshko D; Yat A; McClure TD; Robinson BD; Sboner A; Elemento O; Chughtai B; Hajirasouliha I
J Magn Reson Imaging; 2021 Aug; 54(2):462-471. PubMed ID: 33719168
[TBL] [Abstract][Full Text] [Related]
32. Tumor Diagnosis against Other Brain Diseases Using T2 MRI Brain Images and CNN Binary Classifier and DWT.
Papadomanolakis TN; Sergaki ES; Polydorou AA; Krasoudakis AG; Makris-Tsalikis GN; Polydorou AA; Afentakis NM; Athanasiou SA; Vardiambasis IO; Zervakis ME
Brain Sci; 2023 Feb; 13(2):. PubMed ID: 36831891
[TBL] [Abstract][Full Text] [Related]
33. MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques.
Saeedi S; Rezayi S; Keshavarz H; R Niakan Kalhori S
BMC Med Inform Decis Mak; 2023 Jan; 23(1):16. PubMed ID: 36691030
[TBL] [Abstract][Full Text] [Related]
34. Explainability of deep neural networks for MRI analysis of brain tumors.
Zeineldin RA; Karar ME; Elshaer Z; Coburger J; Wirtz CR; Burgert O; Mathis-Ullrich F
Int J Comput Assist Radiol Surg; 2022 Sep; 17(9):1673-1683. PubMed ID: 35460019
[TBL] [Abstract][Full Text] [Related]
35. Object recognition in medical images via anatomy-guided deep learning.
Jin C; Udupa JK; Zhao L; Tong Y; Odhner D; Pednekar G; Nag S; Lewis S; Poole N; Mannikeri S; Govindasamy S; Singh A; Camaratta J; Owens S; Torigian DA
Med Image Anal; 2022 Oct; 81():102527. PubMed ID: 35830745
[TBL] [Abstract][Full Text] [Related]
36. Deep Transfer Learning Approaches in Performance Analysis of Brain Tumor Classification Using MRI Images.
Srinivas C; K S NP; Zakariah M; Alothaibi YA; Shaukat K; Partibane B; Awal H
J Healthc Eng; 2022; 2022():3264367. PubMed ID: 35299683
[TBL] [Abstract][Full Text] [Related]
37. Application of deep learning for automatic segmentation of brain tumors on magnetic resonance imaging: a heuristic approach in the clinical scenario.
Di Ieva A; Russo C; Liu S; Jian A; Bai MY; Qian Y; Magnussen JS
Neuroradiology; 2021 Aug; 63(8):1253-1262. PubMed ID: 33501512
[TBL] [Abstract][Full Text] [Related]
38. Automatic detection of brain tumors with the aid of ensemble deep learning architectures and class activation map indicators by employing magnetic resonance images.
Turk O; Ozhan D; Acar E; Akinci TC; Yilmaz M
Z Med Phys; 2024 May; 34(2):278-290. PubMed ID: 36593139
[TBL] [Abstract][Full Text] [Related]
39. Deep Learning for Image Enhancement and Correction in Magnetic Resonance Imaging-State-of-the-Art and Challenges.
Chen Z; Pawar K; Ekanayake M; Pain C; Zhong S; Egan GF
J Digit Imaging; 2023 Feb; 36(1):204-230. PubMed ID: 36323914
[TBL] [Abstract][Full Text] [Related]
40. Automated MR Image Prescription of the Liver Using Deep Learning: Development, Evaluation, and Prospective Implementation.
Geng R; Buelo CJ; Sundaresan M; Starekova J; Panagiotopoulos N; Oechtering TH; Lawrence EM; Ignaciuk M; Reeder SB; Hernando D
J Magn Reson Imaging; 2023 Aug; 58(2):429-441. PubMed ID: 36583550
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
