{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:03:19Z","timestamp":1750309399525,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":32,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,5,24]],"date-time":"2024-05-24T00:00:00Z","timestamp":1716508800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Cancer Research UK","award":["EDDPMA-May22\/100054"],"award-info":[{"award-number":["EDDPMA-May22\/100054"]}]},{"name":"NVIDIA Academic Hardware Grant Program"},{"name":"Engineering and Physical Sciences Research Council","award":["EP\/S025987\/1 and EP\/R005257\/1"],"award-info":[{"award-number":["EP\/S025987\/1 and EP\/R005257\/1"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,5,24]]},"DOI":"10.1145\/3674658.3674680","type":"proceedings-article","created":{"date-parts":[[2024,11,18]],"date-time":"2024-11-18T22:07:19Z","timestamp":1731967639000},"page":"131-138","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Impact of Loss Functions on Label-free Virtual H&amp;E Staining"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1665-7408","authenticated-orcid":false,"given":"Qiang","family":"Wang","sequence":"first","affiliation":[{"name":"Centre for Inflammation Research, Institute of Regeneration and Repair, University of Edinburgh, Edinburgh, UK and Translational Healthcare Technologies Group, Centre for Inflammation Research, Institute of Regeneration and Repair, University of Edinburgh, Edinburgh, United Kingdom"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3029-2425","authenticated-orcid":false,"given":"James R","family":"Hopgood","sequence":"additional","affiliation":[{"name":"School of Engineering, University of Edinburgh, Edinburgh, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9957-954X","authenticated-orcid":false,"given":"Marta","family":"Vallejo","sequence":"additional","affiliation":[{"name":"School of Mathematical &amp; Computer Sciences, Heriot-Watt University, Edinburgh, UK"}]}],"member":"320","published-online":{"date-parts":[[2024,11,18]]},"reference":[{"key":"e_1_3_3_2_2_2","doi-asserted-by":"crossref","unstructured":"Bijie Bai Hongda Wang Yuzhu Li Kevin de Haan Francesco Colonnese Yujie Wan Jingyi Zuo Ngan\u00a0B. Doan Xiaoran Zhang Yijie Zhang Jingxi Li Xilin Yang Wenjie Dong Morgan\u00a0Angus Darrow Elham Kamangar Han\u00a0Sung Lee Yair Rivenson and Aydogan Ozcan. 2022. Label-Free Virtual HER2 Immunohistochemical Staining of Breast Tissue using Deep Learning. BME Frontiers 2022 (2022). https:\/\/doi.org\/doi:10.34133\/2022\/9786242","DOI":"10.34133\/2022\/9786242"},{"key":"e_1_3_3_2_3_2","doi-asserted-by":"crossref","unstructured":"Bijie Bai Xilin Yang Yuzhu Li Yijie Zhang Nir Pillar and Aydogan Ozcan. 2023. Deep learning-enabled virtual histological staining of biological samples. Light: Science & Applications 12 1 (2023) 57.","DOI":"10.1038\/s41377-023-01104-7"},{"key":"e_1_3_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00928-1_60"},{"key":"e_1_3_3_2_5_2","doi-asserted-by":"publisher","unstructured":"K.\u00a0Y. Ding K.\u00a0D. Ma S.\u00a0Q. Wang and E.\u00a0P. Simoncelli. 2022. Image Quality Assessment: Unifying Structure and Texture Similarity. Ieee Transactions on Pattern Analysis and Machine Intelligence 44 5 (2022) 2567\u20132581. 10.1109\/Tpami.2020.3045810","DOI":"10.1109\/Tpami.2020.3045810"},{"key":"e_1_3_3_2_6_2","unstructured":"Leon Gatys Alexander\u00a0S Ecker and Matthias Bethge. 2015. Texture synthesis using convolutional neural networks. Advances in neural information processing systems 28 (2015)."},{"key":"e_1_3_3_2_7_2","doi-asserted-by":"crossref","unstructured":"Leon\u00a0A Gatys Alexander\u00a0S Ecker and Matthias Bethge. 2016. Image style transfer using convolutional neural networks. Proceedings of the IEEE conference on computer vision and pattern recognition (June 2016) 2414\u20132423.","DOI":"10.1109\/CVPR.2016.265"},{"key":"e_1_3_3_2_8_2","volume-title":"Advances in Neural Information Processing Systems","author":"Goodfellow Ian","year":"2014","unstructured":"Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014. Generative Adversarial Nets. In Advances in Neural Information Processing Systems , Z.\u00a0Ghahramani, M.\u00a0Welling, C.\u00a0Cortes, N.\u00a0Lawrence, and K.Q. Weinberger (Eds.), Vol.\u00a027. Curran Associates, Inc."},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"crossref","unstructured":"Yiyu Hong You\u00a0Jeong Heo Binnari Kim Donghwan Lee Soomin Ahn Sang\u00a0Yun Ha Insuk Sohn and Kyoung-Mee Kim. 2021. Deep learning-based virtual cytokeratin staining of gastric carcinomas to measure tumor\u2013stroma ratio. Scientific Reports 11 1 (2021) 19255.","DOI":"10.1038\/s41598-021-98857-1"},{"key":"e_1_3_3_2_10_2","doi-asserted-by":"publisher","unstructured":"P. Isola J.\u00a0Y. Zhu T.\u00a0H. Zhou and A.\u00a0A. Efros. 2017. Image-to-Image Translation with Conditional Adversarial Networks. 30th Ieee Conference on Computer Vision and Pattern Recognition (Cvpr 2017) (2017) 5967\u20135976. 10.1109\/Cvpr.2017.632","DOI":"10.1109\/Cvpr.2017.632"},{"key":"e_1_3_3_2_11_2","doi-asserted-by":"crossref","unstructured":"Justin Johnson Alexandre Alahi and Li Fei-Fei. 2016. Perceptual losses for real-time style transfer and super-resolution. Computer Vision\u2013ECCV 2016: 14th European Conference Amsterdam The Netherlands October 11-14 2016 Proceedings Part II 14 (October 2016) 694\u2013711.","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"e_1_3_3_2_12_2","doi-asserted-by":"publisher","unstructured":"Lei Kang Xiufeng Li Yan Zhang and Terence\u00a0T.W. Wong. 2022. Deep learning enables ultraviolet photoacoustic microscopy based histological imaging with near real-time virtual staining. Photoacoustics 25 (2022) 100308. 10.1016\/j.pacs.2021.100308","DOI":"10.1016\/j.pacs.2021.100308"},{"key":"e_1_3_3_2_13_2","doi-asserted-by":"publisher","unstructured":"Nischita Kaza Ashkan Ojaghi and Francisco\u00a0E. Robles. 2022. Virtual Staining Segmentation and Classification of Blood Smears for Label-Free Hematology Analysis. BME Frontiers 2022 (2022) 9853606. 10.34133\/2022\/9853606 arXiv:https:\/\/spj.science.org\/doi\/pdf\/10.34133\/2022\/9853606","DOI":"10.34133\/2022\/9853606"},{"key":"e_1_3_3_2_14_2","doi-asserted-by":"publisher","unstructured":"Amirhossein Kazerouni Ehsan\u00a0Khodapanah Aghdam Moein Heidari Reza Azad Mohsen Fayyaz Ilker Hacihaliloglu and Dorit Merhof. 2023. Diffusion models in medical imaging: A comprehensive survey. Medical Image Analysis 88 (2023) 102846. 10.1016\/j.media.2023.102846","DOI":"10.1016\/j.media.2023.102846"},{"key":"e_1_3_3_2_15_2","doi-asserted-by":"publisher","unstructured":"Lucas Kreiss Shaowei Jiang Xiang Li Shiqi Xu Kevin\u00a0C. Zhou Kyung\u00a0Chul Lee Alexander M\u00fchlberg Kanghyun Kim Amey Chaware Michael Ando Laura Barisoni Seung\u00a0Ah Lee Guoan Zheng Kyle\u00a0J. Lafata Oliver Friedrich and Roarke Horstmeyer. 2023. Digital staining in optical microscopy using deep learning - a review. PhotoniX 4 1 (2023) 34. 10.1186\/s43074-023-00113-4","DOI":"10.1186\/s43074-023-00113-4"},{"key":"e_1_3_3_2_16_2","doi-asserted-by":"publisher","unstructured":"J.\u00a0X. Li J. Garfinkel X.\u00a0R. Zhang D. Wu Y.\u00a0J. Zhang K. de Haan H.\u00a0D. Wang T.\u00a0R. Liu B.\u00a0J. Bai Y. Rivenson G. Rubinstein P.\u00a0O. Scumpia and A. Ozcan. 2021. Biopsy-free in vivo virtual histology of skin using deep learning. Light-Science & Applications 10 1 (2021). 10.1038\/s41377-021-00674-8","DOI":"10.1038\/s41377-021-00674-8"},{"key":"e_1_3_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299155"},{"key":"e_1_3_3_2_18_2","doi-asserted-by":"publisher","unstructured":"Pranita Pradhan Tobias Meyer Michael Vieth Andreas Stallmach Maximilian Waldner Michael Schmitt Juergen Popp and Thomas Bocklitz. 2021. Computational tissue staining of non-linear multimodal imaging using supervised and unsupervised deep learning. Biomed. Opt. Express 12 4 (Apr 2021) 2280\u20132298. 10.1364\/BOE.415962","DOI":"10.1364\/BOE.415962"},{"key":"e_1_3_3_2_19_2","doi-asserted-by":"publisher","unstructured":"Stephan Preibisch Stephan Saalfeld and Pavel Tomancak. 2009. Globally optimal stitching of tiled 3D microscopic image acquisitions. Bioinformatics 25 11 (04 2009) 1463\u20131465. 10.1093\/bioinformatics\/btp184 arXiv:https:\/\/academic.oup.com\/bioinformatics\/article-pdf\/25\/11\/1463\/48989910\/bioinformatics_25_11_1463.pdf https:\/\/dl.acm.org\/doi\/10.1093\/bioinformatics\/btp184","DOI":"10.1093\/bioinformatics\/btp184"},{"key":"e_1_3_3_2_20_2","doi-asserted-by":"publisher","unstructured":"Y. Rivenson H.\u00a0D. Wang Z.\u00a0S. Wei K. de Haan Y.\u00a0B. Zhang Y.\u00a0C. Wu H. Gunaydin J.\u00a0E. Zuckerman T. Chong A.\u00a0E. Sisk L.\u00a0M. Westbrook W.\u00a0D. Wallace and A. Ozcan. 2019. Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning. Nature Biomedical Engineering 3 6 (2019) 466\u2013477. 10.1038\/s41551-019-0362-y","DOI":"10.1038\/s41551-019-0362-y"},{"key":"e_1_3_3_2_21_2","doi-asserted-by":"publisher","unstructured":"O. Ronneberger P. Fischer and T. Brox. 2015. U-Net: Convolutional Networks for Biomedical Image Segmentation. Medical Image Computing and Computer-Assisted Intervention Pt Iii 9351 (2015) 234\u2013241. 10.1007\/978-3-319-24574-4_28","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"e_1_3_3_2_22_2","doi-asserted-by":"crossref","unstructured":"Leonid\u00a0I Rudin Stanley Osher and Emad Fatemi. 1992. Nonlinear total variation based noise removal algorithms. Physica D: nonlinear phenomena 60 1-4 (1992) 259\u2013268.","DOI":"10.1016\/0167-2789(92)90242-F"},{"key":"e_1_3_3_2_23_2","doi-asserted-by":"publisher","unstructured":"Ayush Somani Arif\u00a0Ahmed Sekh Ida\u00a0S. Opstad \u00c5sa\u00a0Birna Birgisdottir Truls Myrmel Balpreet\u00a0Singh Ahluwalia Alexander Horsch Krishna Agarwal and Dilip\u00a0K. Prasad. 2022. Virtual labeling of mitochondria in living cells using correlative imaging and physics-guided deep learning. Biomed. Opt. Express 13 10 (Oct 2022) 5495\u20135516. 10.1364\/BOE.464177","DOI":"10.1364\/BOE.464177"},{"key":"e_1_3_3_2_24_2","doi-asserted-by":"crossref","unstructured":"Syed\u00a0Ahmed Taqi Syed\u00a0Abdus Sami Lateef\u00a0Begum Sami and Syed\u00a0Ahmed Zaki. 2018. A review of artifacts in histopathology. Journal of oral and maxillofacial pathology: JOMFP 22 2 (2018) 279.","DOI":"10.4103\/jomfp.JOMFP_125_15"},{"key":"e_1_3_3_2_25_2","doi-asserted-by":"crossref","unstructured":"M Titford. 2005. The long history of hematoxylin. Biotechnic & Histochemistry 80 2 (Jan. 2005) 73\u201378.","DOI":"10.1080\/10520290500138372"},{"key":"e_1_3_3_2_26_2","doi-asserted-by":"crossref","unstructured":"Zhou Wang Alan\u00a0C Bovik Hamid\u00a0R Sheikh and Eero\u00a0P Simoncelli. 2004. Image quality assessment: from error visibility to structural similarity. IEEE transactions on image processing 13 4 (2004) 600\u2013612.","DOI":"10.1109\/TIP.2003.819861"},{"key":"e_1_3_3_2_27_2","volume-title":"JPL, Summaries of the Third Annual JPL Airborne Geoscience Workshop. Volume 1: AVIRIS Workshop","author":"Yuhas Roberta\u00a0H","year":"1992","unstructured":"Roberta\u00a0H Yuhas, Alexander\u00a0FH Goetz, and Joe\u00a0W Boardman. 1992. Discrimination among semi-arid landscape endmembers using the spectral angle mapper (SAM) algorithm. In JPL, Summaries of the Third Annual JPL Airborne Geoscience Workshop. Volume 1: AVIRIS Workshop."},{"key":"e_1_3_3_2_28_2","doi-asserted-by":"crossref","unstructured":"Guanghao Zhang Bin Ning Hui Hui Tengfei Yu Xin Yang Hongxia Zhang Jie Tian and Wen He. 2022. Image-to-images translation for multiple virtual histological staining of unlabeled human carotid atherosclerotic tissue. Molecular Imaging and Biology (2022) 1\u201311.","DOI":"10.1007\/s11307-021-01641-w"},{"key":"e_1_3_3_2_29_2","doi-asserted-by":"crossref","unstructured":"Lin Zhang Lei Zhang Xuanqin Mou and David Zhang. 2011. FSIM: A feature similarity index for image quality assessment. IEEE transactions on Image Processing 20 8 (2011) 2378\u20132386.","DOI":"10.1109\/TIP.2011.2109730"},{"key":"e_1_3_3_2_30_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"e_1_3_3_2_31_2","doi-asserted-by":"publisher","unstructured":"Y.\u00a0J. Zhang K. de Haan Y. Rivenson J.\u00a0X. Li A. Delis and A. Ozcan. 2020. Digital synthesis of histological stains using micro-structured and multiplexed virtual staining of label-free tissue. Light-Science & Applications 9 1 (2020). 10.1038\/s41377-020-0315-y","DOI":"10.1038\/s41377-020-0315-y"},{"key":"e_1_3_3_2_32_2","volume-title":"Handbook of medical image computing and computer assisted intervention","author":"Zhou S\u00a0Kevin","year":"2019","unstructured":"S\u00a0Kevin Zhou, Daniel Rueckert, and Gabor Fichtinger. 2019. Handbook of medical image computing and computer assisted intervention. Academic Press."},{"key":"e_1_3_3_2_33_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"}],"event":{"name":"ICBBT 2024: 2024 16th International Conference on Bioinformatics and Biomedical Technology","acronym":"ICBBT 2024","location":"Chongqing China"},"container-title":["Proceedings of the 2024 16th International Conference on Bioinformatics and Biomedical Technology"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3674658.3674680","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3674658.3674680","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:57:50Z","timestamp":1750294670000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3674658.3674680"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,24]]},"references-count":32,"alternative-id":["10.1145\/3674658.3674680","10.1145\/3674658"],"URL":"https:\/\/doi.org\/10.1145\/3674658.3674680","relation":{},"subject":[],"published":{"date-parts":[[2024,5,24]]},"assertion":[{"value":"2024-11-18","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}