137 related articles for article (PubMed ID: 37869619)
1. LiverHccSeg: A publicly available multiphasic MRI dataset with liver and HCC tumor segmentations and inter-rater agreement analysis.
Gross M; Arora S; Huber S; Kücükkaya AS; Onofrey JA
Data Brief; 2023 Dec; 51():109662. PubMed ID: 37869619
[TBL] [Abstract][Full Text] [Related]
2. Automated MRI liver segmentation for anatomical segmentation, liver volumetry, and the extraction of radiomics.
Gross M; Huber S; Arora S; Ze'evi T; Haider SP; Kucukkaya AS; Iseke S; Kuhn TN; Gebauer B; Michallek F; Dewey M; Vilgrain V; Sartoris R; Ronot M; Jaffe A; Strazzabosco M; Chapiro J; Onofrey JA
Eur Radiol; 2024 Jan; ():. PubMed ID: 38217704
[TBL] [Abstract][Full Text] [Related]
3. Comparison of Prostate MRI Lesion Segmentation Agreement Between Multiple Radiologists and a Fully Automatic Deep Learning System.
Schelb P; Tavakoli AA; Tubtawee T; Hielscher T; Radtke JP; Görtz M; Schütz V; Kuder TA; Schimmöller L; Stenzinger A; Hohenfellner M; Schlemmer HP; Bonekamp D
Rofo; 2021 May; 193(5):559-573. PubMed ID: 33212541
[TBL] [Abstract][Full Text] [Related]
4. Inter-rater agreement in glioma segmentations on longitudinal MRI.
Visser M; Müller DMJ; van Duijn RJM; Smits M; Verburg N; Hendriks EJ; Nabuurs RJA; Bot JCJ; Eijgelaar RS; Witte M; van Herk MB; Barkhof F; de Witt Hamer PC; de Munck JC
Neuroimage Clin; 2019; 22():101727. PubMed ID: 30825711
[TBL] [Abstract][Full Text] [Related]
5. A Novel Public MR Image Dataset of Multiple Sclerosis Patients With Lesion Segmentations Based on Multi-rater Consensus.
Lesjak Ž; Galimzianova A; Koren A; Lukin M; Pernuš F; Likar B; Špiclin Ž
Neuroinformatics; 2018 Jan; 16(1):51-63. PubMed ID: 29103086
[TBL] [Abstract][Full Text] [Related]
6. Cascaded deep learning-based auto-segmentation for head and neck cancer patients: Organs at risk on T2-weighted magnetic resonance imaging.
Korte JC; Hardcastle N; Ng SP; Clark B; Kron T; Jackson P
Med Phys; 2021 Dec; 48(12):7757-7772. PubMed ID: 34676555
[TBL] [Abstract][Full Text] [Related]
7. Whole liver segmentation based on deep learning and manual adjustment for clinical use in SIRT.
Tang X; Jafargholi Rangraz E; Coudyzer W; Bertels J; Robben D; Schramm G; Deckers W; Maleux G; Baete K; Verslype C; Gooding MJ; Deroose CM; Nuyts J
Eur J Nucl Med Mol Imaging; 2020 Nov; 47(12):2742-2752. PubMed ID: 32314026
[TBL] [Abstract][Full Text] [Related]
8. NigraNet: An automatic framework to assess nigral neuromelanin content in early Parkinson's disease using convolutional neural network.
Gaurav R; Valabrègue R; Yahia-Chérif L; Mangone G; Narayanan S; Arnulf I; Vidailhet M; Corvol JC; Lehéricy S
Neuroimage Clin; 2022; 36():103250. PubMed ID: 36451356
[TBL] [Abstract][Full Text] [Related]
9. Automated deep learning method for whole-breast segmentation in diffusion-weighted breast MRI.
Zhang L; Mohamed AA; Chai R; Guo Y; Zheng B; Wu S
J Magn Reson Imaging; 2020 Feb; 51(2):635-643. PubMed ID: 31301201
[TBL] [Abstract][Full Text] [Related]
10. Automated and manual hippocampal segmentation techniques: Comparison of results, reproducibility and clinical applicability.
Hurtz S; Chow N; Watson AE; Somme JH; Goukasian N; Hwang KS; Morra J; Elashoff D; Gao S; Petersen RC; Aisen PS; Thompson PM; Apostolova LG
Neuroimage Clin; 2019; 21():101574. PubMed ID: 30553759
[TBL] [Abstract][Full Text] [Related]
11. Reliability of Semi-Automated Segmentations in Glioblastoma.
Huber T; Alber G; Bette S; Boeckh-Behrens T; Gempt J; Ringel F; Alberts E; Zimmer C; Bauer JS
Clin Neuroradiol; 2017 Jun; 27(2):153-161. PubMed ID: 26490369
[TBL] [Abstract][Full Text] [Related]
12. Segmentation of malignant gliomas through remote collaboration and statistical fusion.
Xu Z; Asman AJ; Singh E; Chambless L; Thompson R; Landman BA
Med Phys; 2012 Oct; 39(10):5981-9. PubMed ID: 23039636
[TBL] [Abstract][Full Text] [Related]
13. Automated Tumor Segmentation and Brain Tissue Extraction from Multiparametric MRI of Pediatric Brain Tumors: A Multi-Institutional Study.
Kazerooni AF; Arif S; Madhogarhia R; Khalili N; Haldar D; Bagheri S; Familiar AM; Anderson H; Haldar S; Tu W; Kim MC; Viswanathan K; Muller S; Prados M; Kline C; Vidal L; Aboian M; Storm PB; Resnick AC; Ware JB; Vossough A; Davatzikos C; Nabavizadeh A
medRxiv; 2023 Jan; ():. PubMed ID: 36711966
[TBL] [Abstract][Full Text] [Related]
14. Deep learning for automatic segmentation of vestibular schwannoma: a retrospective study from multi-center routine MRI.
Kujawa A; Dorent R; Connor S; Thomson S; Ivory M; Vahedi A; Guilhem E; Wijethilake N; Bradford R; Kitchen N; Bisdas S; Ourselin S; Vercauteren T; Shapey J
Front Comput Neurosci; 2024; 18():1365727. PubMed ID: 38784680
[TBL] [Abstract][Full Text] [Related]
15. Workflow for automatic renal perfusion quantification using ASL-MRI and machine learning.
Bones IK; Bos C; Moonen C; Hendrikse J; van Stralen M
Magn Reson Med; 2022 Feb; 87(2):800-809. PubMed ID: 34672029
[TBL] [Abstract][Full Text] [Related]
16. Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation.
Warfield SK; Zou KH; Wells WM
IEEE Trans Med Imaging; 2004 Jul; 23(7):903-21. PubMed ID: 15250643
[TBL] [Abstract][Full Text] [Related]
17. Automatic Segmentation of the Olfactory Bulb.
Desser D; Assunção F; Yan X; Alves V; Fernandes HM; Hummel T
Brain Sci; 2021 Aug; 11(9):. PubMed ID: 34573163
[TBL] [Abstract][Full Text] [Related]
18. A Novel Approach for Manual Segmentation of the Amygdala and Hippocampus in Neonate MRI.
Hashempour N; Tuulari JJ; Merisaari H; Lidauer K; Luukkonen I; Saunavaara J; Parkkola R; Lähdesmäki T; Lehtola SJ; Keskinen M; Lewis JD; Scheinin NM; Karlsson L; Karlsson H
Front Neurosci; 2019; 13():1025. PubMed ID: 31616245
[TBL] [Abstract][Full Text] [Related]
19. Multi-modal glioblastoma segmentation: man versus machine.
Porz N; Bauer S; Pica A; Schucht P; Beck J; Verma RK; Slotboom J; Reyes M; Wiest R
PLoS One; 2014; 9(5):e96873. PubMed ID: 24804720
[TBL] [Abstract][Full Text] [Related]
20. Combining Deep Learning and Radiomics for Automated, Objective, Comprehensive Bone Marrow Characterization From Whole-Body MRI: A Multicentric Feasibility Study.
Wennmann M; Klein A; Bauer F; Chmelik J; Grözinger M; Uhlenbrock C; Lochner J; Nonnenmacher T; Rotkopf LT; Sauer S; Hielscher T; Götz M; Floca RO; Neher P; Bonekamp D; Hillengass J; Kleesiek J; Weinhold N; Weber TF; Goldschmidt H; Delorme S; Maier-Hein K; Schlemmer HP
Invest Radiol; 2022 Nov; 57(11):752-763. PubMed ID: 35640004
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]