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Drusen segmentation in color fundus photographs for drusenoid pigment epithelial detachment patients based on ground-truth derived from SD-OCTs.

S. Mukherjee, C. Duic, T. Silva, T. Keenan, A. Thavikulwat, E. Chew, и C. Cukras. Medical Imaging: Computer-Aided Diagnosis, том 12465 из SPIE Proceedings, SPIE, (2023)

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Catherine Bangen

In-vitro-Proliferationsverhalten pädiatrischer Tumorzelllinien nach zweistündiger Exposition mit Kohlenstoffdioxid, Helium und RaumluftC. Bangen. MedH Hannover, (2009)

Catherine Deylen

Die deliktische Haftung juristischer Personen nach deutschem, französischem und englischem Recht: eine rechtsvergleichende AnalyseC. Deylen. Uni Hagen, (2009)

Cathérine Müller

Catherine Gottschalk

Catherine Bowen

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Drusen segmentation in color fundus photographs for drusenoid pigment epithelial detachment patients based on ground-truth derived from SD-OCTs.S. Mukherjee, C. Duic, T. Silva, T. Keenan, A. Thavikulwat, E. Chew, и C. Cukras. Medical Imaging: Computer-Aided Diagnosis, том 12465 из SPIE Proceedings, SPIE, (2023)Feature-based retinal image registration for longitudinal analysis of patients with age-related macular degeneration.T. Silva, N. Hotaling, E. Chew, и C. Cukras. Medical Imaging: Image Processing, том 11313 из SPIE Proceedings, стр. 113132Z. SPIE, (2020)Semi-supervised learning approach for automatic detection of hyperreflective foci in SD-OCT imaging.T. Silva, K. Heß, C. Duic, S. Mukherjee, H. Sandoval, J. Aduwo, T. Keenan, E. Chew, и C. Cukras. Medical Imaging: Computer-Aided Diagnosis, том 12033 из SPIE Proceedings, SPIE, (2022)Device specific SD-OCT retinal layer segmentation using cycle-generative adversarial networks in patients with AMD.S. Mukherjee, T. Silva, G. Jayakar, P. Grisso, H. Wiley, T. Keenan, A. Thavikulwat, E. Chew, и C. Cukras. Medical Imaging: Computer-Aided Diagnosis, том 12033 из SPIE Proceedings, SPIE, (2022)Retinal layer segmentation for age-related macular degeneration patients with 3D-UNet.S. Mukherjee, T. Silva, G. Jayakar, P. Grisso, H. Wiley, T. Keenan, A. Thavikulwat, E. Chew, и C. Cukras. Medical Imaging: Computer-Aided Diagnosis, том 12033 из SPIE Proceedings, SPIE, (2022)Active Cell Appearance Model Induced Generative Adversarial Networks for Annotation-Efficient Cell Segmentation and Identification on Adaptive Optics Retinal Images.J. Liu, C. Shen, N. Aguilera, C. Cukras, R. Hufnagel, W. Zein, T. Liu, и J. Tam. IEEE Trans. Medical Imaging, 40 (10): 2820-2831 (2021)Hybrid transformer for lesion segmentation on adaptive optics retinal images.J. Liu, J. Li, A. Wolde, C. Cukras, и J. Tam. Medical Imaging: Computer-Aided Diagnosis, том 12033 из SPIE Proceedings, SPIE, (2022)Automatic detection of ellipsoid zone loss due to Hydroxychloroquine retinal toxicity from SD-OCT imaging.T. Silva, G. Jayakar, P. Grisso, E. Chew, N. Hotaling, и C. Cukras. Medical Imaging: Computer-Aided Diagnosis, том 11597 из SPIE Proceedings, SPIE, (2021)Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: towards automated and accessible classification of age-related macular degeneration.Q. Chen, T. Keenan, A. Allot, Y. Peng, E. Agrón, A. Domalpally, C. Klaver, D. Luttikhuizen, M. Colyer, C. Cukras и 7 other автор(ы). CoRR, (2020)Multimodal, multitask, multiattention (M3) deep learning detection of reticular pseudodrusen: Toward automated and accessible classification of age-related macular degeneration.Q. Chen, T. Keenan, A. Allot, Y. Peng, E. Agrón, A. Domalpally, C. Klaver, D. Luttikhuizen, M. Colyer, C. Cukras и 7 other автор(ы). J. Am. Medical Informatics Assoc., 28 (6): 1135-1148 (2021)

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