308 related articles for article (PubMed ID: 37042979)
1. Fast, light, and scalable: harnessing data-mined line annotations for automated tumor segmentation on brain MRI.
Swinburne NC; Yadav V; Murthy KNK; Elnajjar P; Shih HH; Panyam PK; Santilli A; Gutman DC; Pike L; Moss NS; Stone J; Hatzoglou V; Shah A; Juluru K; Shah SP; Holodny AI; Young RJ;
Eur Radiol; 2023 Sep; 33(9):6582-6591. PubMed ID: 37042979
[TBL] [Abstract][Full Text] [Related]
2. Semisupervised Training of a Brain MRI Tumor Detection Model Using Mined Annotations.
Swinburne NC; Yadav V; Kim J; Choi YR; Gutman DC; Yang JT; Moss N; Stone J; Tisnado J; Hatzoglou V; Haque SS; Karimi S; Lyo J; Juluru K; Pichotta K; Gao J; Shah SP; Holodny AI; Young RJ;
Radiology; 2022 Apr; 303(1):80-89. PubMed ID: 35040676
[TBL] [Abstract][Full Text] [Related]
3. Deep learning-based automated segmentation of resection cavities on postsurgical epilepsy MRI.
Arnold TC; Muthukrishnan R; Pattnaik AR; Sinha N; Gibson A; Gonzalez H; Das SR; Litt B; Englot DJ; Morgan VL; Davis KA; Stein JM
Neuroimage Clin; 2022; 36():103154. PubMed ID: 35988342
[TBL] [Abstract][Full Text] [Related]
4. Logistic Regression-Based Model Is More Efficient Than U-Net Model for Reliable Whole Brain Magnetic Resonance Imaging Segmentation.
Dieckhaus H; Meijboom R; Okar S; Wu T; Parvathaneni P; Mina Y; Chandran S; Waldman AD; Reich DS; Nair G
Top Magn Reson Imaging; 2022 Jun; 31(3):31-39. PubMed ID: 35767314
[TBL] [Abstract][Full Text] [Related]
5. Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs.
Tang F; Liang S; Zhong T; Huang X; Deng X; Zhang Y; Zhou L
Eur Radiol; 2020 Feb; 30(2):823-832. PubMed ID: 31650265
[TBL] [Abstract][Full Text] [Related]
6. Visual ensemble selection of deep convolutional neural networks for 3D segmentation of breast tumors on dynamic contrast enhanced MRI.
Rahimpour M; Saint Martin MJ; Frouin F; Akl P; Orlhac F; Koole M; Malhaire C
Eur Radiol; 2023 Feb; 33(2):959-969. PubMed ID: 36074262
[TBL] [Abstract][Full Text] [Related]
7. Semantic segmentation of cerebrospinal fluid and brain volume with a convolutional neural network in pediatric hydrocephalus-transfer learning from existing algorithms.
Grimm F; Edl F; Kerscher SR; Nieselt K; Gugel I; Schuhmann MU
Acta Neurochir (Wien); 2020 Oct; 162(10):2463-2474. PubMed ID: 32583085
[TBL] [Abstract][Full Text] [Related]
8. Fully Automated MRI Segmentation and Volumetric Measurement of Intracranial Meningioma Using Deep Learning.
Kang H; Witanto JN; Pratama K; Lee D; Choi KS; Choi SH; Kim KM; Kim MS; Kim JW; Kim YH; Park SJ; Park CK
J Magn Reson Imaging; 2023 Mar; 57(3):871-881. PubMed ID: 35775971
[TBL] [Abstract][Full Text] [Related]
9. An investigation of the effect of fat suppression and dimensionality on the accuracy of breast MRI segmentation using U-nets.
Fashandi H; Kuling G; Lu Y; Wu H; Martel AL
Med Phys; 2019 Mar; 46(3):1230-1244. PubMed ID: 30609062
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Brain tumor segmentation using holistically nested neural networks in MRI images.
Zhuge Y; Krauze AV; Ning H; Cheng JY; Arora BC; Camphausen K; Miller RW
Med Phys; 2017 Oct; 44(10):5234-5243. PubMed ID: 28736864
[TBL] [Abstract][Full Text] [Related]
12. Clinical Evaluation of a Multiparametric Deep Learning Model for Glioblastoma Segmentation Using Heterogeneous Magnetic Resonance Imaging Data From Clinical Routine.
Perkuhn M; Stavrinou P; Thiele F; Shakirin G; Mohan M; Garmpis D; Kabbasch C; Borggrefe J
Invest Radiol; 2018 Nov; 53(11):647-654. PubMed ID: 29863600
[TBL] [Abstract][Full Text] [Related]
13. Semiautomated segmentation of hepatocellular carcinoma tumors with MRI using convolutional neural networks.
Said D; Carbonell G; Stocker D; Hectors S; Vietti-Violi N; Bane O; Chin X; Schwartz M; Tabrizian P; Lewis S; Greenspan H; Jégou S; Schiratti JB; Jehanno P; Taouli B
Eur Radiol; 2023 Sep; 33(9):6020-6032. PubMed ID: 37071167
[TBL] [Abstract][Full Text] [Related]
14. Deep Learning Improves Speed and Accuracy of Prostate Gland Segmentations on Magnetic Resonance Imaging for Targeted Biopsy.
Soerensen SJC; Fan RE; Seetharaman A; Chen L; Shao W; Bhattacharya I; Kim YH; Sood R; Borre M; Chung BI; To'o KJ; Rusu M; Sonn GA
J Urol; 2021 Sep; 206(3):604-612. PubMed ID: 33878887
[TBL] [Abstract][Full Text] [Related]
15. Fully automated segmentation of brain tumor from multiparametric MRI using 3D context deep supervised U-Net.
Lin M; Momin S; Lei Y; Wang H; Curran WJ; Liu T; Yang X
Med Phys; 2021 Aug; 48(8):4365-4374. PubMed ID: 34101845
[TBL] [Abstract][Full Text] [Related]
16. Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks.
Stember JN; Celik H; Krupinski E; Chang PD; Mutasa S; Wood BJ; Lignelli A; Moonis G; Schwartz LH; Jambawalikar S; Bagci U
J Digit Imaging; 2019 Aug; 32(4):597-604. PubMed ID: 31044392
[TBL] [Abstract][Full Text] [Related]
17. Generative Adversarial Networks to Synthesize Missing T1 and FLAIR MRI Sequences for Use in a Multisequence Brain Tumor Segmentation Model.
Conte GM; Weston AD; Vogelsang DC; Philbrick KA; Cai JC; Barbera M; Sanvito F; Lachance DH; Jenkins RB; Tobin WO; Eckel-Passow JE; Erickson BJ
Radiology; 2021 May; 299(2):313-323. PubMed ID: 33687284
[TBL] [Abstract][Full Text] [Related]
18. Using deep learning to segment breast and fibroglandular tissue in MRI volumes.
Dalmış MU; Litjens G; Holland K; Setio A; Mann R; Karssemeijer N; Gubern-Mérida A
Med Phys; 2017 Feb; 44(2):533-546. PubMed ID: 28035663
[TBL] [Abstract][Full Text] [Related]
19. Automated glioma grading on conventional MRI images using deep convolutional neural networks.
Zhuge Y; Ning H; Mathen P; Cheng JY; Krauze AV; Camphausen K; Miller RW
Med Phys; 2020 Jul; 47(7):3044-3053. PubMed ID: 32277478
[TBL] [Abstract][Full Text] [Related]
20. Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates.
Pipitone J; Park MT; Winterburn J; Lett TA; Lerch JP; Pruessner JC; Lepage M; Voineskos AN; Chakravarty MM;
Neuroimage; 2014 Nov; 101():494-512. PubMed ID: 24784800
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
