{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T03:35:13Z","timestamp":1772595313096,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,9,22]],"date-time":"2023-09-22T00:00:00Z","timestamp":1695340800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nd\/4.0\/"}],"funder":[{"name":"This project has received funding from the European Union?s Horizon 2020 research and innovation programme under the Marie Sk?odowska-Curie grant agreement No 860755.","award":["860755"],"award-info":[{"award-number":["860755"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,9,22]]},"DOI":"10.1145\/3632047.3632048","type":"proceedings-article","created":{"date-parts":[[2024,2,27]],"date-time":"2024-02-27T18:48:15Z","timestamp":1709059695000},"page":"1-7","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Automatic Landmark Localization in 3D Medical CT Images: Few-Shot Learning through Optimized Data Pre-Processing and Network Design"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-8864-2902","authenticated-orcid":false,"given":"Yifan","family":"Wang","sequence":"first","affiliation":[{"name":"HorSys GmbH, Germany and \rAuditory Sciences PhD Program, Hannover Medical School, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9307-5989","authenticated-orcid":false,"given":"Thomas","family":"Lenarz","sequence":"additional","affiliation":[{"name":"Department of Otolaryngology, Head & Neck Surgery, Hannover Medical School, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7762-4642","authenticated-orcid":false,"given":"Andrej","family":"Kral","sequence":"additional","affiliation":[{"name":"Institute of AudioNeuroTechnology & Cluster of Excellence Hearing4all & Department of Experimental Otology, ENT Department, Hannover Medical School, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1509-0585","authenticated-orcid":false,"given":"Samuel","family":"John","sequence":"additional","affiliation":[{"name":"HorSys GmbH, Germany"}]}],"member":"320","published-online":{"date-parts":[[2024,2,27]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.3389\/fneur.2022.829478"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-83059-6"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","unstructured":"M. Pietsch L. Aguirre D\u00e1vila P. Erfurt E. Avci T. Lenarz and A. Kral. 2017. Spiral Form of the Human Cochlea Results from Spatial Constraints. Scientific Reports 7 (2017). DOI:https:\/\/doi.org\/10.1038\/s41598-017-07795-4","DOI":"10.1038\/s41598-017-07795-4"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.5244\/C.2.23"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1999.790410"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbac630"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.2c01034"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2721106"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2020.105387"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-88210-5_15"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.mri.2012.05.001"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1168\/2\/022022"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.3390\/info11020125"},{"key":"e_1_3_2_1_16_1","volume-title":"Retrieved","author":"Keras","year":"2023","unstructured":"Keras: Retrieved June 20, 2023, from https:\/\/keras.io\/"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","unstructured":"Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke and Andrew Rabinovich. 2014. Going Deeper with Convolutions. DOI:https:\/\/doi.org\/10.48550\/arXiv.1409.4842","DOI":"10.48550\/arXiv.1409.4842"},{"key":"e_1_3_2_1_18_1","volume-title":"Retrieved","author":"Simonyan Karen","year":"2015","unstructured":"Karen Simonyan and Andrew Zisserman. 2015. Very Deep Convolutional Networks for Large-Scale Image Recognition. arXiv:1409.1556 [cs] (April 2015). Retrieved February 23, 2022 from http:\/\/arxiv.org\/abs\/1409.1556"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/72.279181"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","unstructured":"Laurent SIfre and St\u00e9phane Mallat. 2014. Rigid-Motion Scattering for Texture Classification. DOI:https:\/\/doi.org\/10.48550\/arXiv.1403.1687","DOI":"10.48550\/arXiv.1403.1687"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","unstructured":"Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto and Hartwig Adam. 2017. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications. DOI:https:\/\/doi.org\/10.48550\/arXiv.1704.04861","DOI":"10.48550\/arXiv.1704.04861"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1502.03167"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","unstructured":"Bing Xu Naiyan Wang Tianqi Chen and Mu Li. 2015. Empirical Evaluation of Rectified Activations in Convolutional Network. DOI:https:\/\/doi.org\/10.48550\/arXiv.1505.00853","DOI":"10.48550\/arXiv.1505.00853"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","unstructured":"Min Lin Qiang Chen and Shuicheng Yan. 2014. Network In Network. DOI:https:\/\/doi.org\/10.48550\/arXiv.1312.4400","DOI":"10.48550\/arXiv.1312.4400"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.5555\/2627435.2670313"},{"key":"e_1_3_2_1_28_1","volume-title":"Divide the gradient by a running average of its recent magnitude. COURSERA: Neural Networks for Machine Learning, 4","author":"Tieleman T.","year":"2012","unstructured":"T. Tieleman and G. Hinton. Divide the gradient by a running average of its recent magnitude. COURSERA: Neural Networks for Machine Learning, 4, 2012. Accessed: 2015- 11-05."},{"key":"e_1_3_2_1_29_1","volume-title":"Retrieved","author":"Team Keras","year":"2019","unstructured":"Keras Team. T. O'Malley, E. Bursztein, J. Long, F. Chollet, H. Jin, L. Invernizzi, 2019. KerasTuner. Retrieved from https:\/\/github.com\/keras-team\/keras-tuner. Retrieved June 21, 2023 from https:\/\/keras.io\/keras_tuner\/"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","unstructured":"Zhong-Qiu Zhao Peng Zheng Shou-tao Xu and Xindong Wu. 2019. Object Detection with Deep Learning: A Review. DOI:https:\/\/doi.org\/10.48550\/arXiv.1807.05511","DOI":"10.48550\/arXiv.1807.05511"}],"event":{"name":"ICBRA 2023: 2023 the 10th International Conference on Bioinformatics Research and Application","location":"Barcelona Spain","acronym":"ICBRA 2023"},"container-title":["Proceedings of the 2023 10th International Conference on Bioinformatics Research and Applications"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3632047.3632048","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3632047.3632048","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T23:56:21Z","timestamp":1755906981000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3632047.3632048"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,22]]},"references-count":30,"alternative-id":["10.1145\/3632047.3632048","10.1145\/3632047"],"URL":"https:\/\/doi.org\/10.1145\/3632047.3632048","relation":{},"subject":[],"published":{"date-parts":[[2023,9,22]]},"assertion":[{"value":"2024-02-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}