CNNs for automatic glaucoma assessment using fundus images: an extensive validation by Diaz-Pinto, Andres, Morales, Sandra, Naranjo, Valery, Köhler, Thomas, Mossi, Jose M, Navea, Amparo

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REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs by Orlando, José Ignacio, Fu, Huazhu, Barbosa Breda, João, van Keer, Karel, Bathula, Deepti R., Diaz-Pinto, Andrés, Fang, Ruogu, Heng, Pheng-Ann, Kim, Jeyoung, Lee, JoonHo, Lee, Joonseok, Li, Xiaoxiao, Liu, Peng, Lu, Shuai, Murugesan, Balamurali, Naranjo, Valery, Phaye, Sai Samarth R., Shankaranarayana, Sharath M., Sikka, Apoorva, Son, Jaemin, van den Hengel, Anton, Wang, Shujun, Wu, Junyan, Wu, Zifeng, Xu, Guanghui, Xu, Yongli, Yin, Pengshuai, Li, Fei, Zhang, Xiulan, Xu, Yanwu, Bogunović, Hrvoje

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Retinal Image Synthesis and Semi-Supervised Learning for Glaucoma Assessment by Diaz-Pinto, Andres, Colomer, Adrian, Naranjo, Valery, Morales, Sandra, Xu, Yanwu, Frangi, Alejandro F.

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Deep learning in medical image registration by Chen, Xiang, Diaz-Pinto, Andres, Ravikumar, Nishant, Frangi, Alejandro F

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Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds by Chen, Xiang, Ravikumar, Nishant, Xia, Yan, Attar, Rahman, Diaz-Pinto, Andres, Piechnik, Stefan K, Neubauer, Stefan, Petersen, Steffen E, Frangi, Alejandro F

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MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images by Diaz-Pinto, Andres, Alle, Sachidanand, Nath, Vishwesh, Tang, Yucheng, Ihsani, Alvin, Asad, Muhammad, Pérez-García, Fernando, Mehta, Pritesh, Li, Wenqi, Flores, Mona, Roth, Holger R., Vercauteren, Tom, Xu, Daguang, Dogra, Prerna, Ourselin, Sebastien, Feng, Andrew, Cardoso, M. Jorge

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Analysing semi-supervised learning for image classification using compact networks in the biomedical context by Inés, Adrián, Díaz-Pinto, Andrés, Domínguez, César, Heras, Jónathan, Mata, Eloy, Pascual, Vico

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Reduction of surgical complications via 3D models during robotic assisted radical prostatectomy: review of current evidence and meta-analysis by Sarhan, Kenaan, Khan, Nawal, Prezzi, Davide, Antonelli, Michela, Hyde, Eoin, MacAskill, Findlay, Bunton, Christopher, Byrne, Nick, Diaz-Pinto, Andres, Stabile, Armando, Briganti, Alberto, Gandaglia, Giorgio, Raison, Nicholas, Montorsi, Francesco, Ourselin, Sebastien, Dasgupta, Prokar, Granados, Alejandro

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Experiencias y desafíos de la Comisión nacional asesora de eventos supuestamente atribuibles a la vacunación o inmunización graves de Ecuador, 2020-2023 by Simancas-Racines, Daniel, Parise-Vasco, Juan Marcos, Baldeón-Espinosa, Sebastián, Aguinaga, Rosa R., Vinueza-Valencia, Gabriela, Jacome, Cristina, Zurita, Jeannete, Bejar, Cristina, Bayas, Luis, Pérez-Tasigchana, Francisco, Anchayhua, Yndira, Pinto-Díaz, Carlos Andrés, Molina-León, Helvert Felipe, Baquero-Paret, Gonzalo

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MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images by Diaz-Pinto, Andres, Alle, Sachidanand, Nath, Vishwesh, Tang, Yucheng, Ihsani, Alvin, Asad, Muhammad, Pérez-García, Fernando, Mehta, Pritesh, Li, Wenqi, Flores, Mona, Roth, Holger R, Vercauteren, Tom, Xu, Daguang, Dogra, Prerna, Ourselin, Sebastien, Feng, Andrew, Cardoso, M Jorge

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Segment Any Medical Model Extended by Liu, Yihao, Zhang, Jiaming, Diaz-Pinto, Andres, Li, Haowei, Martin-Gomez, Alejandro, Kheradmand, Amir, Mehran Armand

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DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images by Diaz-Pinto, Andres, Mehta, Pritesh, Alle, Sachidanand, Asad, Muhammad, Brown, Richard, Nath, Vishwesh, Ihsani, Alvin, Antonelli, Michela, Palkovics, Daniel, Pinter, Csaba, Alkalay, Ron, Pieper, Steve, Roth, Holger R, Xu, Daguang, Dogra, Prerna, Vercauteren, Tom, Feng, Andrew, Abood Quraini, Ourselin, Sebastien, Cardoso, M Jorge

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Semi-Automatic Algorithm for Breast MRI Lesion Segmentation Using Marker-Controlled Watershed Transformation by Sulaiman Vesal, Diaz-Pinto, Andres, Ravikumar, Nishant, Ellmann, Stephan, Davari, Amirabbas, Maier, Andreas

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MONAI: An open-source framework for deep learning in healthcare by Cardoso, M Jorge, Li, Wenqi, Brown, Richard, Ma, Nic, Kerfoot, Eric, Wang, Yiheng, Murrey, Benjamin, Myronenko, Andriy, Zhao, Can, Yang, Dong, Nath, Vishwesh, He, Yufan, Xu, Ziyue, Hatamizadeh, Ali, Zhu, Wentao, Liu, Yun, Zheng, Mingxin, Tang, Yucheng, Yang, Isaac, Zephyr, Michael, Hashemian, Behrooz, Alle, Sachidanand, Darestani, Mohammad Zalbagi, Budd, Charlie, Modat, Marc, Vercauteren, Tom, Wang, Guotai, Li, Yiwen, Hu, Yipeng, Fu, Yunguan, Gorman, Benjamin, Johnson, Hans, Genereaux, Brad, Erdal, Barbaros S, Gupta, Vikash, Diaz-Pinto, Andres, Dourson, Andre, Maier-Hein, Lena, Jaeger, Paul F, Baumgartner, Michael, Kalpathy-Cramer, Jayashree, Flores, Mona, Kirby, Justin, Cooper, Lee A D, Roth, Holger R, Xu, Daguang, Bericat, David, Floca, Ralf, Zhou, S Kevin, Shuaib, Haris, Farahani, Keyvan, Maier-Hein, Klaus H, Aylward, Stephen, Dogra, Prerna, Ourselin, Sebastien, Feng, Andrew

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Experiences and Challenges of the Ecuadorean National Advisory Commission on Serious Events Supposedly Attributable to Vaccination or Immunization, 2020-2023Experiências e desafios... by Simancas-Racines, Daniel, Parise-Vasco, Juan Marcos, Baldeón-Espinosa, Sebastián, Aguinaga, Rosa R, Vinueza-Valencia, Gabriela, Jacome, Cristina, Zurita, Jeannete, Bejar, Cristina, Bayas, Luis, Pérez-Tasigchana, Francisco, Anchayhua, Yndira, Pinto-Díaz, Carlos Andrés, Molina-León, Helvert Felipe, Baquero-Paret, Gonzalo

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REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs by Orlando, José Ignacio, Fu, Huazhu, Breda, João Barbossa, Karel van Keer, Bathula, Deepti R, Diaz-Pinto, Andrés, Fang, Ruogu, Pheng-Ann Heng, Kim, Jeyoung, Lee, JoonHo, Lee, Joonseok, Li, Xiaoxiao, Liu, Peng, Lu, Shuai, Murugesan, Balamurali, Naranjo, Valery, Sai Samarth R Phaye, Shankaranarayana, Sharath M, Sikka, Apoorva, Son, Jaemin, van den Hengel, Anton, Wang, Shujun, Wu, Junyan, Wu, Zifeng, Xu, Guanghui, Xu, Yongli, Yin, Pengshuai, Li, Fei, Zhang, Xiulan, Xu, Yanwu, Bogunović, Hrvoje

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Semi-Supervised Learning for Image Classification using Compact Networks in the BioMedical Context by Adrián Inés, Díaz-Pinto, Andrés, Domínguez, César, Heras, Jónathan, Mata, Eloy, Vico Pascual

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