Iñaki Soto Rey

30 papers Journal 11Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	RFMiD: Retinal Image Analysis for multi-Disease Detection challenge. Medical Image Anal. Samiksha Pachade, Prasanna Porwal, Manesh Kokare, Girish Deshmukh, Vivek Sahasrabuddhe, Zhengbo Luo, Feng Han, Zitang Sun, Li Qihan, Sei-ichiro Kamata, Edward Ho, Edward Wang, Asaanth Sivajohan, Saerom Youn, Kevin Lane, Jin Chun, Xinliang Wang, Yunchao Gu, Sixu Lu, Young-tack Oh, Hyunjin Park, Chia-Yen Lee, Hung Yeh, Kai-Wen Cheng, Haoyu Wang, Jin Ye, Junjun He, Lixu Gu, Dominik Müller, Iñaki Soto Rey, Frank Kramer, Hidehisa Arai, Yuma Ochi, Takami Okada, Luca Giancardo, Gwenolé Quellec, Fabrice Mériaudeau
2024	—	`conf`	Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer. MIE Dominik Müller, Philip Meyer, Lukas Rentschler, Robin Manz, Daniel Hieber, Jonas Bäcker, Samantha Cramer, Christoph Wengenmayr, Bruno Märkl, Ralf Huss, Frank Kramer, Iñaki Soto Rey, Johannes Raffler
2024	J	`jnl`	Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer. CoRR Dominik Müller, Philip Meyer, Lukas Rentschler, Robin Manz, Daniel Hieber, Jonas Bäcker, Samantha Cramer, Christoph Wengenmayr, Bruno Märkl, Ralf Huss, Frank Kramer, Iñaki Soto Rey, Johannes Raffler
2024	J	`jnl`	DeepGleason: a System for Automated Gleason Grading of Prostate Cancer using Deep Neural Networks. CoRR Dominik Müller, Philip Meyer, Lukas Rentschler, Robin Manz, Jonas Bäcker, Samantha Cramer, Christoph Wengenmayr, Bruno Märkl, Ralf Huss, Iñaki Soto Rey, Johannes Raffler
2023	—	`conf`	Abstract: AUCMEDI - Von der Insellösung zur einheitlichen und automatischen Klassifizierung von Medizinischen Bildern. Bildverarbeitung für die Medizin Dominik Müller, Dennis Hartmann, Iñaki Soto Rey, Frank Kramer
2022	J	`jnl`	An Analysis on Ensemble Learning Optimized Medical Image Classification With Deep Convolutional Neural Networks. IEEE Access Dominik Müller, Iñaki Soto Rey, Frank Kramer
2022	J	`jnl`	An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks. CoRR Dominik Müller, Iñaki Soto Rey, Frank Kramer
2022	—	`conf`	MISeval: A Metric Library for Medical Image Segmentation Evaluation. MIE Dominik Müller, Dennis Hartmann, Philip Meyer, Florian Auer, Iñaki Soto Rey, Frank Kramer
2022	J	`jnl`	MISeval: a Metric Library for Medical Image Segmentation Evaluation. CoRR Dominik Müller, Dennis Hartmann, Philip Meyer, Florian Auer, Iñaki Soto Rey, Frank Kramer
2022	J	`jnl`	MISm: A Medical Image Segmentation Metric for Evaluation of weak labeled Data. CoRR Dennis Hartmann, Verena Schmid, Philip Meyer, Iñaki Soto Rey, Dominik Müller, Frank Kramer
2022	J	`jnl`	Towards a Guideline for Evaluation Metrics in Medical Image Segmentation. CoRR Dominik Müller, Iñaki Soto Rey, Frank Kramer
2021	J	`jnl`	Assessing the Role of Random Forests in Medical Image Segmentation. CoRR Dennis Hartmann, Dominik Müller, Iñaki Soto Rey, Frank Kramer
2021	—	`conf`	COVID-19 Image Segmentation Based on Deep Learning and Ensemble Learning. MIE Philip Meyer, Dominik Müller, Iñaki Soto Rey, Frank Kramer
2021	—	`conf`	Multi-Disease Detection in Retinal Imaging Based on Ensembling Heterogeneous Deep Learning Models. GMDS Dominik Müller, Iñaki Soto Rey, Frank Kramer
2021	J	`jnl`	Multi-Disease Detection in Retinal Imaging based on Ensembling Heterogeneous Deep Learning Models. CoRR Dominik Müller, Iñaki Soto Rey, Frank Kramer
2020	J	`jnl`	Automated Chest CT Image Segmentation of COVID-19 Lung Infection based on 3D U-Net. CoRR Dominik Müller, Iñaki Soto Rey, Frank Kramer
2019	—	`conf`	Electronic Image Documentation of Patient Reported Outcomes Using Mobile Technologies. MedInfo Iñaki Soto Rey, Tobias Hardt, Luca Hollenberg, Philipp Bruland, Sonja Ständer, Martin Dugas, Michael Storck
2019	—	`conf`	Interoperability Improvement of Mobile Patient Survey (MoPat) Implementing Fast Health Interoperability Resources (FHIR). EFMI-STC Michael Storck, Luca Hollenberg, Martin Dugas, Iñaki Soto Rey
2019	—	`conf`	Reviving 30 Year Old Technology: Lessons Learned from Transferring Patient Data Using Data Matrix Codes. EFMI-STC Tobias Johannes Brix, Philipp Neuhaus, Michael Storck, Iñaki Soto Rey, Martin Dugas
2018	—	`conf`	Conducting a Multilingual Study Researching Traumatised Refugees Utilizing a Patient-Reported Outcome System. GMDS Michael Storck, Gundula Christians, Birgit Möller, Martin Dugas, Iñaki Soto Rey
2018	—	`conf`	Standardising the Development of ODM Converters: The ODMToolBox. MIE Iñaki Soto Rey, Philipp Neuhaus, Philipp Bruland, Sophia Geßner, Julian Varghese, Stefan Hegselmann, Tobias J. Brix, Martin Dugas, Michael Storck
2017	—	`conf`	Automated Transformation of CDISC ODM to OpenClinica. GMDS Sophia Gessner, Michael Storck, Stefan Hegselmann, Martin Dugas, Iñaki Soto Rey
2017	—	`conf`	Operational Data Model Conversion to ResearchKit. MedInfo Iñaki Soto Rey, Sophia Geßner, Martin Dugas
2017	—	`conf`	The Portal of Medical Data Models: Where Have We Been and Where Are We Going? MedInfo Sophia Geßner, Philipp Neuhaus, Julian Varghese, Philipp Bruland, Alexandra Meidt, Iñaki Soto Rey, Michael Storck, Justin Doods, Martin Dugas
2016	—	`—`	Efficiency and effectiveness evaluation of an automated multi-country patient count cohort system. Iñaki Soto Rey
2016	—	`conf`	Implementation of an ODM and HL7 Compliant Electronic Patient-Reported Outcome System. MIE Iñaki Soto Rey, Martin Dugas, Michael Storck
2015	—	`conf`	Clinical Trial Feasibility Study Questionnaire Analysis. MedInfo Iñaki Soto Rey, Martin Dugas, Fleur Fritz
2015	—	`conf`	Web-Based Multi-Site Feasibility Questionnaire Tool. eHealth Iñaki Soto Rey, Benjamin Trinczek, Jose Ignacio Amo, Jesús Bauselas, Martin Dugas, Fleur Fritz
2014	—	`conf`	Protocol Feasibility Workflow Using an Automated Multi-country Patient Cohort System. MIE Iñaki Soto Rey, Benjamin Trinczek, Töresin Karakoyun, Martin Dugas, Fleur Fritz
2013	—	`conf`	Query Engine Optimization for the EHR4CR Protocol Feasibility Scenario. MedInfo Iñaki Soto Rey, Richard Bache, Martin Dugas, Fleur Fritz