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158 related items for PubMed ID: 39119860
1. Segmentation of stroke lesions using transformers-augmented MRI analysis. Ahmed R, Al Shehhi A, Werghi N, Seghier ML. Hum Brain Mapp; 2024 Aug 01; 45(11):e26803. PubMed ID: 39119860 [Abstract] [Full Text] [Related]
2. A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images. Xue Y, Farhat FG, Boukrina O, Barrett AM, Binder JR, Roshan UW, Graves WW. Neuroimage Clin; 2020 Aug 01; 25():102118. PubMed ID: 31865021 [Abstract] [Full Text] [Related]
3. An appraisal of the performance of AI tools for chronic stroke lesion segmentation. Ahmed R, Al Shehhi A, Hassan B, Werghi N, Seghier ML. Comput Biol Med; 2023 Sep 01; 164():107302. PubMed ID: 37572443 [Abstract] [Full Text] [Related]
4. LST-AI: A deep learning ensemble for accurate MS lesion segmentation. Wiltgen T, McGinnis J, Schlaeger S, Kofler F, Voon C, Berthele A, Bischl D, Grundl L, Will N, Metz M, Schinz D, Sepp D, Prucker P, Schmitz-Koep B, Zimmer C, Menze B, Rueckert D, Hemmer B, Kirschke J, Mühlau M, Wiestler B. Neuroimage Clin; 2024 Sep 01; 42():103611. PubMed ID: 38703470 [Abstract] [Full Text] [Related]
5. Accurate and robust segmentation of neuroanatomy in T1-weighted MRI by combining spatial priors with deep convolutional neural networks. Novosad P, Fonov V, Collins DL, Alzheimer's Disease Neuroimaging Initiative†. Hum Brain Mapp; 2020 Feb 01; 41(2):309-327. PubMed ID: 31633863 [Abstract] [Full Text] [Related]
6. Deep learning models for ischemic stroke lesion segmentation in medical images: A survey. Luo J, Dai P, He Z, Huang Z, Liao S, Liu K. Comput Biol Med; 2024 Jun 01; 175():108509. PubMed ID: 38677171 [Abstract] [Full Text] [Related]
7. RFDCR: Automated brain lesion segmentation using cascaded random forests with dense conditional random fields. Chen G, Li Q, Shi F, Rekik I, Pan Z. Neuroimage; 2020 May 01; 211():116620. PubMed ID: 32057997 [Abstract] [Full Text] [Related]
9. A comparison of automated lesion segmentation approaches for chronic stroke T1-weighted MRI data. Ito KL, Kim H, Liew SL. Hum Brain Mapp; 2019 Nov 01; 40(16):4669-4685. PubMed ID: 31350795 [Abstract] [Full Text] [Related]
10. Machine learning identifies stroke features between species. Castaneda-Vega S, Katiyar P, Russo F, Patzwaldt K, Schnabel L, Mathes S, Hempel JM, Kohlhofer U, Gonzalez-Menendez I, Quintanilla-Martinez L, Ziemann U, la Fougere C, Ernemann U, Pichler BJ, Disselhorst JA, Poli S. Theranostics; 2021 Nov 01; 11(6):3017-3034. PubMed ID: 33456586 [Abstract] [Full Text] [Related]
11. APIS: a paired CT-MRI dataset for ischemic stroke segmentation - methods and challenges. Gómez S, Rangel E, Mantilla D, Ortiz A, Camacho P, de la Rosa E, Seia J, Kirschke JS, Li Y, El Habib Daho M, Martínez F. Sci Rep; 2024 Sep 04; 14(1):20543. PubMed ID: 39232010 [Abstract] [Full Text] [Related]
12. Automatic post-stroke lesion segmentation on MR images using 3D residual convolutional neural network. Tomita N, Jiang S, Maeder ME, Hassanpour S. Neuroimage Clin; 2020 Sep 04; 27():102276. PubMed ID: 32512401 [Abstract] [Full Text] [Related]
13. A large, open source dataset of stroke anatomical brain images and manual lesion segmentations. Liew SL, Anglin JM, Banks NW, Sondag M, Ito KL, Kim H, Chan J, Ito J, Jung C, Khoshab N, Lefebvre S, Nakamura W, Saldana D, Schmiesing A, Tran C, Vo D, Ard T, Heydari P, Kim B, Aziz-Zadeh L, Cramer SC, Liu J, Soekadar S, Nordvik JE, Westlye LT, Wang J, Winstein C, Yu C, Ai L, Koo B, Craddock RC, Milham M, Lakich M, Pienta A, Stroud A. Sci Data; 2018 Feb 20; 5():180011. PubMed ID: 29461514 [Abstract] [Full Text] [Related]
14. Testing a convolutional neural network-based hippocampal segmentation method in a stroke population. Zavaliangos-Petropulu A, Tubi MA, Haddad E, Zhu A, Braskie MN, Jahanshad N, Thompson PM, Liew SL. Hum Brain Mapp; 2022 Jan 20; 43(1):234-243. PubMed ID: 33067842 [Abstract] [Full Text] [Related]
15. ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset. Hernandez Petzsche MR, de la Rosa E, Hanning U, Wiest R, Valenzuela W, Reyes M, Meyer M, Liew SL, Kofler F, Ezhov I, Robben D, Hutton A, Friedrich T, Zarth T, Bürkle J, Baran TA, Menze B, Broocks G, Meyer L, Zimmer C, Boeckh-Behrens T, Berndt M, Ikenberg B, Wiestler B, Kirschke JS. Sci Data; 2022 Dec 10; 9(1):762. PubMed ID: 36496501 [Abstract] [Full Text] [Related]
16. Semantic segmentation guided detector for segmentation, classification, and lesion mapping of acute ischemic stroke in MRI images. Wei YC, Huang WY, Jian CY, Hsu CH, Hsu CC, Lin CP, Cheng CT, Chen YL, Wei HY, Chen KF. Neuroimage Clin; 2022 Dec 10; 35():103044. PubMed ID: 35597030 [Abstract] [Full Text] [Related]
17. Utilizing deep learning via the 3D U-net neural network for the delineation of brain stroke lesions in MRI image. Soleimani P, Farezi N. Sci Rep; 2023 Nov 13; 13(1):19808. PubMed ID: 37957203 [Abstract] [Full Text] [Related]
18. deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks. Fisch L, Zumdick S, Barkhau C, Emden D, Ernsting J, Leenings R, Sarink K, Winter NR, Risse B, Dannlowski U, Hahn T. Comput Biol Med; 2024 Sep 13; 179():108845. PubMed ID: 39002314 [Abstract] [Full Text] [Related]
19. Brain segmentation in patients with perinatal arterial ischemic stroke. Zoetmulder R, Baak L, Khalili N, Marquering HA, Wagenaar N, Benders M, van der Aa NE, Išgum I. Neuroimage Clin; 2023 Sep 13; 38():103381. PubMed ID: 36965456 [Abstract] [Full Text] [Related]
20. Automated multimodal segmentation of acute ischemic stroke lesions on clinical MR images. Moon HS, Heffron L, Mahzarnia A, Obeng-Gyasi B, Holbrook M, Badea CT, Feng W, Badea A. Magn Reson Imaging; 2022 Oct 13; 92():45-57. PubMed ID: 35688400 [Abstract] [Full Text] [Related] Page: [Next] [New Search]