{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T17:06:57Z","timestamp":1777655217956,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":44,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,6,12]],"date-time":"2023-06-12T00:00:00Z","timestamp":1686528000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,6,12]]},"DOI":"10.1145\/3592571.3592978","type":"proceedings-article","created":{"date-parts":[[2023,7,19]],"date-time":"2023-07-19T13:27:56Z","timestamp":1689773276000},"page":"1-9","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":16,"title":["Mask-conditioned latent diffusion for generating gastrointestinal polyp images"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-9976-4420","authenticated-orcid":false,"given":"Roman","family":"Mach\u00e1\u010dek","sequence":"first","affiliation":[{"name":"University of Oslo, Norway"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-9120-0002","authenticated-orcid":false,"given":"Leila","family":"Mozaffari","sequence":"additional","affiliation":[{"name":"Oslo Metropolitan University, Norway"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2535-6508","authenticated-orcid":false,"given":"Zahra","family":"Sepasdar","sequence":"additional","affiliation":[{"name":"Monash University, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2621-9225","authenticated-orcid":false,"given":"Sravanthi","family":"Parasa","sequence":"additional","affiliation":[{"name":"Swedish Medical Group, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2073-7029","authenticated-orcid":false,"given":"P\u00e5l","family":"Halvorsen","sequence":"additional","affiliation":[{"name":"SimulaMet, Norway"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3153-2064","authenticated-orcid":false,"given":"Michael A.","family":"Riegler","sequence":"additional","affiliation":[{"name":"SimulaMet, Norway"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6026-0929","authenticated-orcid":false,"given":"Vajira","family":"Thambawita","sequence":"additional","affiliation":[{"name":"SimulaMet, Norway"}]}],"member":"320","published-online":{"date-parts":[[2023,7,19]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","first-page":"1289","DOI":"10.1007\/s11548-022-02651-x","article-title":"Examining the effect of synthetic data augmentation in polyp detection and segmentation","volume":"17","author":"Adjei Prince\u00a0Ebenezer","year":"2022","unstructured":"Prince\u00a0Ebenezer Adjei , Zenebe\u00a0Markos Lonseko , Wenju Du , Han Zhang , and Nini Rao . 2022 . Examining the effect of synthetic data augmentation in polyp detection and segmentation . International Journal of Computer Assisted Radiology and Surgery 17 , 7 (2022), 1289 \u2013 1302 . Prince\u00a0Ebenezer Adjei, Zenebe\u00a0Markos Lonseko, Wenju Du, Han Zhang, and Nini Rao. 2022. Examining the effect of synthetic data augmentation in polyp detection and segmentation. International Journal of Computer Assisted Radiology and Surgery 17, 7 (2022), 1289\u20131302.","journal-title":"International Journal of Computer Assisted Radiology and Surgery"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11831-019-09388-y"},{"key":"e_1_3_2_1_3_1","volume-title":"WM-DOVA maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians. Computerized medical imaging and graphics 43","author":"Bernal Jorge","year":"2015","unstructured":"Jorge Bernal , F\u00a0Javier S\u00e1nchez , Gloria Fern\u00e1ndez-Esparrach , Debora Gil , Cristina Rodr\u00edguez , and Fernando Vilari\u00f1o . 2015. WM-DOVA maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians. Computerized medical imaging and graphics 43 ( 2015 ), 99\u2013111. Jorge Bernal, F\u00a0Javier S\u00e1nchez, Gloria Fern\u00e1ndez-Esparrach, Debora Gil, Cristina Rodr\u00edguez, and Fernando Vilari\u00f1o. 2015. WM-DOVA maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians. Computerized medical imaging and graphics 43 (2015), 99\u2013111."},{"key":"e_1_3_2_1_4_1","volume-title":"Duc Tien\u00a0Dang Nguyen","author":"Borgli Hanna","year":"2020","unstructured":"Hanna Borgli , Vajira Thambawita , Pia\u00a0 H Smedsrud , Steven Hicks , Debesh Jha , Sigrun\u00a0 L Eskeland , Kristin\u00a0Ranheim Randel , Konstantin Pogorelov , Mathias Lux , Duc Tien\u00a0Dang Nguyen , 2020 . HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy. Scientific data 7, 1 (2020), 283. Hanna Borgli, Vajira Thambawita, Pia\u00a0H Smedsrud, Steven Hicks, Debesh Jha, Sigrun\u00a0L Eskeland, Kristin\u00a0Ranheim Randel, Konstantin Pogorelov, Mathias Lux, Duc Tien\u00a0Dang Nguyen, 2020. HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy. Scientific data 7, 1 (2020), 283."},{"key":"e_1_3_2_1_5_1","volume-title":"Rethinking atrous convolution for semantic image segmentation. arXiv preprint arXiv:1706.05587","author":"Chen Liang-Chieh","year":"2017","unstructured":"Liang-Chieh Chen , George Papandreou , Florian Schroff , and Hartwig Adam . 2017. Rethinking atrous convolution for semantic image segmentation. arXiv preprint arXiv:1706.05587 ( 2017 ). Liang-Chieh Chen, George Papandreou, Florian Schroff, and Hartwig Adam. 2017. Rethinking atrous convolution for semantic image segmentation. arXiv preprint arXiv:1706.05587 (2017)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41551-021-00751-8"},{"key":"e_1_3_2_1_7_1","volume-title":"Generative adversarial networks: An overview","author":"Creswell Antonia","year":"2018","unstructured":"Antonia Creswell , Tom White , Vincent Dumoulin , Kai Arulkumaran , Biswa Sengupta , and Anil\u00a0 A Bharath . 2018. Generative adversarial networks: An overview . IEEE signal processing magazine 35, 1 ( 2018 ), 53\u201365. Antonia Creswell, Tom White, Vincent Dumoulin, Kai Arulkumaran, Biswa Sengupta, and Anil\u00a0A Bharath. 2018. Generative adversarial networks: An overview. IEEE signal processing magazine 35, 1 (2018), 53\u201365."},{"key":"e_1_3_2_1_8_1","first-page":"8780","article-title":"Diffusion models beat gans on image synthesis","volume":"34","author":"Dhariwal Prafulla","year":"2021","unstructured":"Prafulla Dhariwal and Alexander Nichol . 2021 . Diffusion models beat gans on image synthesis . Advances in Neural Information Processing Systems 34 (2021), 8780 \u2013 8794 . Prafulla Dhariwal and Alexander Nichol. 2021. Diffusion models beat gans on image synthesis. Advances in Neural Information Processing Systems 34 (2021), 8780\u20138794.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11063-019-10163-0"},{"key":"e_1_3_2_1_10_1","volume-title":"2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 66\u201371","author":"Fagereng Jan\u00a0Andre","year":"2022","unstructured":"Jan\u00a0Andre Fagereng , Vajira Thambawita , Andrea\u00a0 M Stor\u00e5s , Sravanthi Parasa , Thomas de Lange , P\u00e5l Halvorsen , and Michael\u00a0 A Riegler . 2022 . PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polyps . In 2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 66\u201371 . Jan\u00a0Andre Fagereng, Vajira Thambawita, Andrea\u00a0M Stor\u00e5s, Sravanthi Parasa, Thomas de Lange, P\u00e5l Halvorsen, and Michael\u00a0A Riegler. 2022. PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polyps. In 2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 66\u201371."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.265"},{"key":"e_1_3_2_1_12_1","volume-title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium. Advances in neural information processing systems 30","author":"Heusel Martin","year":"2017","unstructured":"Martin Heusel , Hubert Ramsauer , Thomas Unterthiner , Bernhard Nessler , and Sepp Hochreiter . 2017. Gans trained by a two time-scale update rule converge to a local nash equilibrium. Advances in neural information processing systems 30 ( 2017 ). Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter. 2017. Gans trained by a two time-scale update rule converge to a local nash equilibrium. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_2_1_13_1","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume":"33","author":"Ho Jonathan","year":"2020","unstructured":"Jonathan Ho , Ajay Jain , and Pieter Abbeel . 2020 . Denoising diffusion probabilistic models . Advances in Neural Information Processing Systems 33 (2020), 6840 \u2013 6851 . Jonathan Ho, Ajay Jain, and Pieter Abbeel. 2020. Denoising diffusion probabilistic models. Advances in Neural Information Processing Systems 33 (2020), 6840\u20136851.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_14_1","unstructured":"Pavel Iakubovskii. 2019. Segmentation Models Pytorch. https:\/\/github.com\/qubvel\/segmentation_models.pytorch.  Pavel Iakubovskii. 2019. Segmentation Models Pytorch. https:\/\/github.com\/qubvel\/segmentation_models.pytorch."},{"key":"e_1_3_2_1_15_1","volume-title":"Wireless capsule endoscopy. Nature 405, 6785","author":"Iddan Gavriel","year":"2000","unstructured":"Gavriel Iddan , Gavriel Meron , Arkady Glukhovsky , and Paul Swain . 2000. Wireless capsule endoscopy. Nature 405, 6785 ( 2000 ), 417\u2013417. Gavriel Iddan, Gavriel Meron, Arkady Glukhovsky, and Paul Swain. 2000. Wireless capsule endoscopy. Nature 405, 6785 (2000), 417\u2013417."},{"key":"e_1_3_2_1_16_1","volume-title":"MultiMedia Modeling: 26th International Conference, MMM 2020, Daejeon, South Korea, January 5\u20138, 2020, Proceedings, Part II 26","author":"Jha Debesh","year":"2020","unstructured":"Debesh Jha , Pia\u00a0 H Smedsrud , Michael\u00a0 A Riegler , P\u00e5l Halvorsen , Thomas de Lange , Dag Johansen , and H\u00e5vard\u00a0 D Johansen . 2020 . Kvasir-seg: A segmented polyp dataset . In MultiMedia Modeling: 26th International Conference, MMM 2020, Daejeon, South Korea, January 5\u20138, 2020, Proceedings, Part II 26 . Springer, 451\u2013462. Debesh Jha, Pia\u00a0H Smedsrud, Michael\u00a0A Riegler, P\u00e5l Halvorsen, Thomas de Lange, Dag Johansen, and H\u00e5vard\u00a0D Johansen. 2020. Kvasir-seg: A segmented polyp dataset. In MultiMedia Modeling: 26th International Conference, MMM 2020, Daejeon, South Korea, January 5\u20138, 2020, Proceedings, Part II 26. Springer, 451\u2013462."},{"key":"e_1_3_2_1_17_1","volume-title":"why and how?arXiv preprint arXiv:2205.03257","author":"Jordon James","year":"2022","unstructured":"James Jordon , Lukasz Szpruch , Florimond Houssiau , Mirko Bottarelli , Giovanni Cherubin , Carsten Maple , Samuel\u00a0 N Cohen , and Adrian Weller . 2022. Synthetic Data\u2013what , why and how?arXiv preprint arXiv:2205.03257 ( 2022 ). James Jordon, Lukasz Szpruch, Florimond Houssiau, Mirko Bottarelli, Giovanni Cherubin, Carsten Maple, Samuel\u00a0N Cohen, and Adrian Weller. 2022. Synthetic Data\u2013what, why and how?arXiv preprint arXiv:2205.03257 (2022)."},{"key":"e_1_3_2_1_18_1","volume-title":"Quality indicators for colonoscopy and the risk of interval cancer. New England journal of medicine 362, 19","author":"Kaminski F","year":"2010","unstructured":"Michal\u00a0 F Kaminski , Jaroslaw Regula , Ewa Kraszewska , Marcin Polkowski , Urszula Wojciechowska , Joanna Didkowska , Maria Zwierko , Maciej Rupinski , Marek\u00a0 P Nowacki , and Eugeniusz Butruk . 2010. Quality indicators for colonoscopy and the risk of interval cancer. New England journal of medicine 362, 19 ( 2010 ), 1795\u20131803. Michal\u00a0F Kaminski, Jaroslaw Regula, Ewa Kraszewska, Marcin Polkowski, Urszula Wojciechowska, Joanna Didkowska, Maria Zwierko, Maciej Rupinski, Marek\u00a0P Nowacki, and Eugeniusz Butruk. 2010. Quality indicators for colonoscopy and the risk of interval cancer. New England journal of medicine 362, 19 (2010), 1795\u20131803."},{"key":"e_1_3_2_1_19_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma P","year":"2014","unstructured":"Diederik\u00a0 P Kingma and Jimmy Ba . 2014 . Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014). Diederik\u00a0P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1053\/j.gastro.2019.08.058","article-title":"Application of artificial intelligence to gastroenterology and hepatology","volume":"158","author":"Le\u00a0Berre Catherine","year":"2020","unstructured":"Catherine Le\u00a0Berre , William\u00a0 J Sandborn , Sabeur Aridhi , Marie-Dominique Devignes , Laure Fournier , Malika Smail-Tabbone , Silvio Danese , and Laurent Peyrin-Biroulet . 2020 . Application of artificial intelligence to gastroenterology and hepatology . Gastroenterology 158 , 1 (2020), 76 \u2013 94 . Catherine Le\u00a0Berre, William\u00a0J Sandborn, Sabeur Aridhi, Marie-Dominique Devignes, Laure Fournier, Malika Smail-Tabbone, Silvio Danese, and Laurent Peyrin-Biroulet. 2020. Application of artificial intelligence to gastroenterology and hepatology. Gastroenterology 158, 1 (2020), 76\u201394.","journal-title":"Gastroenterology"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"e_1_3_2_1_24_1","volume-title":"Computer-aided diagnosis of colorectal polyps using linked color imaging colonoscopy to predict histology. Scientific reports 9, 1","author":"Min Min","year":"2019","unstructured":"Min Min , Song Su , Wenrui He , Yiliang Bi , Zhanyu Ma , and Yan Liu . 2019. Computer-aided diagnosis of colorectal polyps using linked color imaging colonoscopy to predict histology. Scientific reports 9, 1 ( 2019 ), 1\u20138. Min Min, Song Su, Wenrui He, Yiliang Bi, Zhanyu Ma, and Yan Liu. 2019. Computer-aided diagnosis of colorectal polyps using linked color imaging colonoscopy to predict histology. Scientific reports 9, 1 (2019), 1\u20138."},{"key":"e_1_3_2_1_25_1","volume-title":"International Conference on Machine Learning. PMLR, 8162\u20138171","author":"Nichol Alexander\u00a0Quinn","year":"2021","unstructured":"Alexander\u00a0Quinn Nichol and Prafulla Dhariwal . 2021 . Improved denoising diffusion probabilistic models . In International Conference on Machine Learning. PMLR, 8162\u20138171 . Alexander\u00a0Quinn Nichol and Prafulla Dhariwal. 2021. Improved denoising diffusion probabilistic models. In International Conference on Machine Learning. PMLR, 8162\u20138171."},{"key":"e_1_3_2_1_26_1","volume-title":"PyTorch: An Imperative Style","author":"Paszke Adam","unstructured":"Adam Paszke , Sam Gross , Francisco Massa , Adam Lerer , James Bradbury , Gregory Chanan , Trevor Killeen , Zeming Lin , Natalia Gimelshein , Luca Antiga , Alban Desmaison , Andreas Kopf , Edward Yang , Zachary DeVito , Martin Raison , Alykhan Tejani , Sasank Chilamkurthy , Benoit Steiner , Lu Fang , Junjie Bai , and Soumith Chintala . 2019. PyTorch: An Imperative Style , High-Performance Deep Learning Library . In Advances in Neural Information Processing Systems 32. Curran Associates, Inc., 8024\u20138035. http:\/\/papers.neurips.cc\/paper\/9015-pytorch-an-imperative-style-high-performance-deep-learning-library.pdf Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala. 2019. PyTorch: An Imperative Style, High-Performance Deep Learning Library. In Advances in Neural Information Processing Systems 32. Curran Associates, Inc., 8024\u20138035. http:\/\/papers.neurips.cc\/paper\/9015-pytorch-an-imperative-style-high-performance-deep-learning-library.pdf"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3083187.3083212"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"crossref","first-page":"103491","DOI":"10.1016\/j.bspc.2022.103491","article-title":"Simple U-net based synthetic polyp image generation: Polyp to negative and negative to polyp","volume":"74","author":"Qadir Hemin\u00a0Ali","year":"2022","unstructured":"Hemin\u00a0Ali Qadir , Ilangko Balasingham , and Younghak Shin . 2022 . Simple U-net based synthetic polyp image generation: Polyp to negative and negative to polyp . Biomedical Signal Processing and Control 74 (2022), 103491 . Hemin\u00a0Ali Qadir, Ilangko Balasingham, and Younghak Shin. 2022. Simple U-net based synthetic polyp image generation: Polyp to negative and negative to polyp. Biomedical Signal Processing and Control 74 (2022), 103491.","journal-title":"Biomedical Signal Processing and Control"},{"key":"e_1_3_2_1_29_1","volume-title":"2016 14th International Workshop on Content-Based Multimedia Indexing (CBMI). IEEE, 1\u20136.","author":"Riegler Michael","year":"2016","unstructured":"Michael Riegler , Konstantin Pogorelov , P\u00e5l Halvorsen , Thomas de Lange , Carsten Griwodz , Peter\u00a0Thelin Schmidt , Sigrun\u00a0Losada Eskeland , and Dag Johansen . 2016 . Eir\u2014efficient computer aided diagnosis framework for gastrointestinal endoscopies . In 2016 14th International Workshop on Content-Based Multimedia Indexing (CBMI). IEEE, 1\u20136. Michael Riegler, Konstantin Pogorelov, P\u00e5l Halvorsen, Thomas de Lange, Carsten Griwodz, Peter\u00a0Thelin Schmidt, Sigrun\u00a0Losada Eskeland, and Dag Johansen. 2016. Eir\u2014efficient computer aided diagnosis framework for gastrointestinal endoscopies. In 2016 14th International Workshop on Content-Based Multimedia Indexing (CBMI). IEEE, 1\u20136."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"crossref","unstructured":"Robin Rombach Andreas Blattmann Dominik Lorenz Patrick Esser and Bj\u00f6rn Ommer. 2021. High-Resolution Image Synthesis with Latent Diffusion Models. arxiv:2112.10752\u00a0[cs.CV]  Robin Rombach Andreas Blattmann Dominik Lorenz Patrick Esser and Bj\u00f6rn Ommer. 2021. High-Resolution Image Synthesis with Latent Diffusion Models. arxiv:2112.10752\u00a0[cs.CV]","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"e_1_3_2_1_32_1","volume-title":"Laion-400m: Open dataset of clip-filtered 400 million image-text pairs. arXiv preprint arXiv:2111.02114","author":"Schuhmann Christoph","year":"2021","unstructured":"Christoph Schuhmann , Richard Vencu , Romain Beaumont , Robert Kaczmarczyk , Clayton Mullis , Aarush Katta , Theo Coombes , Jenia Jitsev , and Aran Komatsuzaki . 2021. Laion-400m: Open dataset of clip-filtered 400 million image-text pairs. arXiv preprint arXiv:2111.02114 ( 2021 ). Christoph Schuhmann, Richard Vencu, Romain Beaumont, Robert Kaczmarczyk, Clayton Mullis, Aarush Katta, Theo Coombes, Jenia Jitsev, and Aran Komatsuzaki. 2021. Laion-400m: Open dataset of clip-filtered 400 million image-text pairs. arXiv preprint arXiv:2111.02114 (2021)."},{"key":"e_1_3_2_1_33_1","volume-title":"International journal of computer assisted radiology and surgery 9","author":"Silva Juan","year":"2014","unstructured":"Juan Silva , Aymeric Histace , Olivier Romain , Xavier Dray , and Bertrand Granado . 2014. Toward embedded detection of polyps in wce images for early diagnosis of colorectal cancer . International journal of computer assisted radiology and surgery 9 ( 2014 ), 283\u2013293. Juan Silva, Aymeric Histace, Olivier Romain, Xavier Dray, and Bertrand Granado. 2014. Toward embedded detection of polyps in wce images for early diagnosis of colorectal cancer. International journal of computer assisted radiology and surgery 9 (2014), 283\u2013293."},{"key":"e_1_3_2_1_34_1","volume-title":"International Conference on Machine Learning. PMLR, 2256\u20132265","author":"Sohl-Dickstein Jascha","year":"2015","unstructured":"Jascha Sohl-Dickstein , Eric Weiss , Niru Maheswaranathan , and Surya Ganguli . 2015 . Deep unsupervised learning using nonequilibrium thermodynamics . In International Conference on Machine Learning. PMLR, 2256\u20132265 . Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli. 2015. Deep unsupervised learning using nonequilibrium thermodynamics. In International Conference on Machine Learning. PMLR, 2256\u20132265."},{"key":"e_1_3_2_1_35_1","volume-title":"Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: Third International Workshop, DLMIA","author":"Sudre H","year":"2017","unstructured":"Carole\u00a0 H Sudre , Wenqi Li , Tom Vercauteren , Sebastien Ourselin , and M Jorge\u00a0Cardoso . 2017. Generalised dice overlap as a deep learning loss function for highly unbalanced segmentations . In Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: Third International Workshop, DLMIA 2017 , and 7th International Workshop, ML- CDS 2017, Held in Conjunction with MICCAI 2017, Qu\u00e9bec City, QC, Canada, September 14, Proceedings 3. Springer , 240\u2013248. Carole\u00a0H Sudre, Wenqi Li, Tom Vercauteren, Sebastien Ourselin, and M Jorge\u00a0Cardoso. 2017. Generalised dice overlap as a deep learning loss function for highly unbalanced segmentations. In Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Qu\u00e9bec City, QC, Canada, September 14, Proceedings 3. Springer, 240\u2013248."},{"key":"e_1_3_2_1_36_1","volume-title":"Automated polyp detection in colonoscopy videos using shape and context information","author":"Tajbakhsh Nima","year":"2015","unstructured":"Nima Tajbakhsh , Suryakanth\u00a0 R Gurudu , and Jianming Liang . 2015. Automated polyp detection in colonoscopy videos using shape and context information . IEEE transactions on medical imaging 35, 2 ( 2015 ), 630\u2013644. Nima Tajbakhsh, Suryakanth\u00a0R Gurudu, and Jianming Liang. 2015. Automated polyp detection in colonoscopy videos using shape and context information. IEEE transactions on medical imaging 35, 2 (2015), 630\u2013644."},{"key":"e_1_3_2_1_37_1","volume-title":"2021 International Conference on Applied Artificial Intelligence (ICAPAI). IEEE, 1\u20138.","author":"Thambawita Vajira","year":"2021","unstructured":"Vajira Thambawita , Steven\u00a0 A Hicks , Jonas Isaksen , Mette\u00a0Haug Stensen , Trine\u00a0 B Haugen , J\u00d8rgen Kanters , Sravanthi Parasa , Thomas de Lange , H\u00e5vard\u00a0 D Johansen , Dag Johansen , 2021 . DeepSynthBody: the beginning of the end for data deficiency in medicine . In 2021 International Conference on Applied Artificial Intelligence (ICAPAI). IEEE, 1\u20138. Vajira Thambawita, Steven\u00a0A Hicks, Jonas Isaksen, Mette\u00a0Haug Stensen, Trine\u00a0B Haugen, J\u00d8rgen Kanters, Sravanthi Parasa, Thomas de Lange, H\u00e5vard\u00a0D Johansen, Dag Johansen, 2021. DeepSynthBody: the beginning of the end for data deficiency in medicine. In 2021 International Conference on Applied Artificial Intelligence (ICAPAI). IEEE, 1\u20138."},{"key":"e_1_3_2_1_38_1","volume-title":"2021 International Conference on Applied Artificial Intelligence (ICAPAI). 1\u20138. https:\/\/doi.org\/10","author":"Thambawita Vajira","year":"2021","unstructured":"Vajira Thambawita , Steven\u00a0 A. Hicks , Jonas Isaksen , Mette\u00a0Haug Stensen , Trine\u00a0 B. Haugen , J\u00d8rgen Kanters , Sravanthi Parasa , Thomas de Lange , H\u00e5vard\u00a0 D. Johansen , Dag Johansen , Hugo\u00a0 L. Hammer , P\u00e5l Halvorsen , and Michael\u00a0 A. Riegler . 2021 . DeepSynthBody: the beginning of the end for data deficiency in medicine . In 2021 International Conference on Applied Artificial Intelligence (ICAPAI). 1\u20138. https:\/\/doi.org\/10 .1109\/ICAPAI49758.2021.9462062 10.1109\/ICAPAI49758.2021.9462062 Vajira Thambawita, Steven\u00a0A. Hicks, Jonas Isaksen, Mette\u00a0Haug Stensen, Trine\u00a0B. Haugen, J\u00d8rgen Kanters, Sravanthi Parasa, Thomas de Lange, H\u00e5vard\u00a0D. Johansen, Dag Johansen, Hugo\u00a0L. Hammer, P\u00e5l Halvorsen, and Michael\u00a0A. Riegler. 2021. DeepSynthBody: the beginning of the end for data deficiency in medicine. In 2021 International Conference on Applied Artificial Intelligence (ICAPAI). 1\u20138. https:\/\/doi.org\/10.1109\/ICAPAI49758.2021.9462062"},{"key":"e_1_3_2_1_39_1","volume-title":"DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine. Scientific reports 11, 1","author":"Thambawita Vajira","year":"2021","unstructured":"Vajira Thambawita , Jonas\u00a0 L Isaksen , Steven\u00a0 A Hicks , Jonas Ghouse , Gustav Ahlberg , Allan Linneberg , Niels Grarup , Christina Ellervik , Morten\u00a0Salling Olesen , Torben Hansen , 2021. DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine. Scientific reports 11, 1 ( 2021 ), 21896. Vajira Thambawita, Jonas\u00a0L Isaksen, Steven\u00a0A Hicks, Jonas Ghouse, Gustav Ahlberg, Allan Linneberg, Niels Grarup, Christina Ellervik, Morten\u00a0Salling Olesen, Torben Hansen, 2021. DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine. Scientific reports 11, 1 (2021), 21896."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3386295"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0267976"},{"key":"e_1_3_2_1_42_1","volume-title":"ID: 3523524 Data augmentation using generative adversarial networks for creating realistic artificial colon polyp images: validation study by endoscopists. Gastrointestinal Endoscopy 93, 6","author":"Thambawita L","year":"2021","unstructured":"Vajira\u00a0 L Thambawita , Inga Str\u00fcmke , Steven Hicks , Michael\u00a0 A Riegler , P\u00e5l Halvorsen , and Sravanthi Parasa . 2021. ID: 3523524 Data augmentation using generative adversarial networks for creating realistic artificial colon polyp images: validation study by endoscopists. Gastrointestinal Endoscopy 93, 6 ( 2021 ), AB 190. Vajira\u00a0L Thambawita, Inga Str\u00fcmke, Steven Hicks, Michael\u00a0A Riegler, P\u00e5l Halvorsen, and Sravanthi Parasa. 2021. ID: 3523524 Data augmentation using generative adversarial networks for creating realistic artificial colon polyp images: validation study by endoscopists. Gastrointestinal Endoscopy 93, 6 (2021), AB190."},{"key":"e_1_3_2_1_43_1","volume-title":"Quality assurance of computer-aided detection and diagnosis in colonoscopy. Gastrointestinal endoscopy 90, 1","author":"Vinsard Daniela\u00a0Guerrero","year":"2019","unstructured":"Daniela\u00a0Guerrero Vinsard , Yuichi Mori , Masashi Misawa , Shin-ei Kudo, Amit Rastogi , Ulas Bagci , Douglas\u00a0 K Rex , and Michael\u00a0 B Wallace . 2019. Quality assurance of computer-aided detection and diagnosis in colonoscopy. Gastrointestinal endoscopy 90, 1 ( 2019 ), 55\u201363. Daniela\u00a0Guerrero Vinsard, Yuichi Mori, Masashi Misawa, Shin-ei Kudo, Amit Rastogi, Ulas Bagci, Douglas\u00a0K Rex, and Michael\u00a0B Wallace. 2019. Quality assurance of computer-aided detection and diagnosis in colonoscopy. Gastrointestinal endoscopy 90, 1 (2019), 55\u201363."},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00889-5_1"}],"event":{"name":"ICMR '23: International Conference on Multimedia Retrieval","location":"Thessaloniki Greece","acronym":"ICMR '23","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["4th Workshop on Intelligent Cross-Data Analysis and Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3592571.3592978","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3592571.3592978","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:08:55Z","timestamp":1750183735000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3592571.3592978"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,12]]},"references-count":44,"alternative-id":["10.1145\/3592571.3592978","10.1145\/3592571"],"URL":"https:\/\/doi.org\/10.1145\/3592571.3592978","relation":{},"subject":[],"published":{"date-parts":[[2023,6,12]]},"assertion":[{"value":"2023-07-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}