Li H - Search Results

1

Deep-Learning Generated Synthetic Double Inversion Recovery Images Improve Multiple Sclerosis Lesion Detection.

Finck T, Li H, Grundl L, Eichinger P, Bussas M, Mühlau M, Menze B, Wiestler B. Finck T, et al. Among authors: li h. Invest Radiol. 2020 May;55(5):318-323. doi: 10.1097/RLI.0000000000000640. Invest Radiol. 2020. PMID: 31977602

2

Automated Whole-Body Bone Lesion Detection for Multiple Myeloma on ⁶⁸Ga-Pentixafor PET/CT Imaging Using Deep Learning Methods.

Xu L, Tetteh G, Lipkova J, Zhao Y, Li H, Christ P, Piraud M, Buck A, Shi K, Menze BH. Xu L, et al. Among authors: li h. Contrast Media Mol Imaging. 2018 Jan 8;2018:2391925. doi: 10.1155/2018/2391925. eCollection 2018. Contrast Media Mol Imaging. 2018. PMID: 29531504 Free PMC article.

3

Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images.

Li H, Jiang G, Zhang J, Wang R, Wang Z, Zheng WS, Menze B. Li H, et al. Neuroimage. 2018 Dec;183:650-665. doi: 10.1016/j.neuroimage.2018.07.005. Epub 2018 Aug 18. Neuroimage. 2018. PMID: 30125711

4

Differential Diagnosis for Pancreatic Cysts in CT Scans Using Densely-Connected Convolutional Networks.

Li H, Shi K, Reichert M, Lin K, Tselousov N, Braren R, Fu D, Schmid R, Li J, Menze B. Li H, et al. Among authors: li j. Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:2095-2098. doi: 10.1109/EMBC.2019.8856745. Annu Int Conf IEEE Eng Med Biol Soc. 2019. PMID: 31946314

5

Coarse-to-Fine Adversarial Networks and Zone-Based Uncertainty Analysis for NK/T-Cell Lymphoma Segmentation in CT/PET Images.

Hu X, Guo R, Chen J, Li H, Waldmannstetter D, Zhao Y, Li B, Shi K, Menze B. Hu X, et al. Among authors: li h, li b. IEEE J Biomed Health Inform. 2020 Sep;24(9):2599-2608. doi: 10.1109/JBHI.2020.2972694. Epub 2020 Feb 10. IEEE J Biomed Health Inform. 2020. PMID: 32054593

6

Deep learning-enabled multi-organ segmentation in whole-body mouse scans.

Schoppe O, Pan C, Coronel J, Mai H, Rong Z, Todorov MI, Müskes A, Navarro F, Li H, Ertürk A, Menze BH. Schoppe O, et al. Among authors: li h. Nat Commun. 2020 Nov 6;11(1):5626. doi: 10.1038/s41467-020-19449-7. Nat Commun. 2020. PMID: 33159057 Free PMC article.

7

3D Deep Learning Enables Accurate Layer Mapping of 2D Materials.

Dong X, Li H, Jiang Z, Grünleitner T, Güler İ, Dong J, Wang K, Köhler MH, Jakobi M, Menze BH, Yetisen AK, Sharp ID, Stier AV, Finley JJ, Koch AW. Dong X, et al. Among authors: li h. ACS Nano. 2021 Feb 23;15(2):3139-3151. doi: 10.1021/acsnano.0c09685. Epub 2021 Jan 19. ACS Nano. 2021. PMID: 33464815

8

Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge.

Timmins KM, van der Schaaf IC, Bennink E, Ruigrok YM, An X, Baumgartner M, Bourdon P, De Feo R, Noto TD, Dubost F, Fava-Sanches A, Feng X, Giroud C, Group I, Hu M, Jaeger PF, Kaiponen J, Klimont M, Li Y, Li H, Lin Y, Loehr T, Ma J, Maier-Hein KH, Marie G, Menze B, Richiardi J, Rjiba S, Shah D, Shit S, Tohka J, Urruty T, Walińska U, Yang X, Yang Y, Yin Y, Velthuis BK, Kuijf HJ. Timmins KM, et al. Among authors: li y, li h. Neuroimage. 2021 Sep;238:118216. doi: 10.1016/j.neuroimage.2021.118216. Epub 2021 May 27. Neuroimage. 2021. PMID: 34052465 Free article.

9

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge.

Campello VM, Gkontra P, Izquierdo C, Martin-Isla C, Sojoudi A, Full PM, Maier-Hein K, Zhang Y, He Z, Ma J, Parreno M, Albiol A, Kong F, Shadden SC, Acero JC, Sundaresan V, Saber M, Elattar M, Li H, Menze B, Khader F, Haarburger C, Scannell CM, Veta M, Carscadden A, Punithakumar K, Liu X, Tsaftaris SA, Huang X, Yang X, Li L, Zhuang X, Vilades D, Descalzo ML, Guala A, Mura L, Friedrich MG, Garg R, Lebel J, Henriques F, Karakas M, Cavus E, Petersen SE, Escalera S, Segui S, Rodriguez-Palomares JF, Lekadir K. Campello VM, et al. Among authors: li h, li l. IEEE Trans Med Imaging. 2021 Dec;40(12):3543-3554. doi: 10.1109/TMI.2021.3090082. Epub 2021 Nov 30. IEEE Trans Med Imaging. 2021. PMID: 34138702 Free article.

10

VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images.

Sekuboyina A, Husseini ME, Bayat A, Löffler M, Liebl H, Li H, Tetteh G, Kukačka J, Payer C, Štern D, Urschler M, Chen M, Cheng D, Lessmann N, Hu Y, Wang T, Yang D, Xu D, Ambellan F, Amiranashvili T, Ehlke M, Lamecker H, Lehnert S, Lirio M, Olaguer NP, Ramm H, Sahu M, Tack A, Zachow S, Jiang T, Ma X, Angerman C, Wang X, Brown K, Kirszenberg A, Puybareau É, Chen D, Bai Y, Rapazzo BH, Yeah T, Zhang A, Xu S, Hou F, He Z, Zeng C, Xiangshang Z, Liming X, Netherton TJ, Mumme RP, Court LE, Huang Z, He C, Wang LW, Ling SH, Huỳnh LD, Boutry N, Jakubicek R, Chmelik J, Mulay S, Sivaprakasam M, Paetzold JC, Shit S, Ezhov I, Wiestler B, Glocker B, Valentinitsch A, Rempfler M, Menze BH, Kirschke JS. Sekuboyina A, et al. Among authors: li h. Med Image Anal. 2021 Oct;73:102166. doi: 10.1016/j.media.2021.102166. Epub 2021 Jul 22. Med Image Anal. 2021. PMID: 34340104

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