Iñaki Soto Rey

According to our database, Iñaki Soto Rey authored at least 26 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

RFMiD: Retinal Image Analysis for multi-Disease Detection challenge.

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

Medical Image Anal., 2025

2024

DeepGleason: a System for Automated Gleason Grading of Prostate Cancer using Deep Neural Networks.

Dominik Müller, Philip Meyer, Lukas Rentschler, Robin Manz, Jonas Bäcker, Samantha Cramer, Christoph Wengenmayr, Bruno Märkl, Ralf Huss, Iñaki Soto Rey, Johannes Raffler

CoRR, 2024

Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer.

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

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

2023

Abstract: AUCMEDI - Von der Insellösung zur einheitlichen und automatischen Klassifizierung von Medizinischen Bildern.

Dominik Müller, Dennis Hartmann, Iñaki Soto Rey, Frank Kramer

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022

MISm: A Medical Image Segmentation Metric for Evaluation of weak labeled Data.

Dennis Hartmann, Verena Schmid, Philip Meyer, Iñaki Soto Rey, Dominik Müller, Frank Kramer

CoRR, 2022

Towards a Guideline for Evaluation Metrics in Medical Image Segmentation.

Dominik Müller, Iñaki Soto Rey, Frank Kramer

CoRR, 2022

An Analysis on Ensemble Learning Optimized Medical Image Classification With Deep Convolutional Neural Networks.

Dominik Müller, Iñaki Soto Rey, Frank Kramer

IEEE Access, 2022

MISeval: A Metric Library for Medical Image Segmentation Evaluation.

Dominik Müller, Dennis Hartmann, Philip Meyer, Florian Auer, Iñaki Soto Rey, Frank Kramer

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

2021

Assessing the Role of Random Forests in Medical Image Segmentation.

Dennis Hartmann, Dominik Müller, Iñaki Soto Rey, Frank Kramer

CoRR, 2021

COVID-19 Image Segmentation Based on Deep Learning and Ensemble Learning.

Philip Meyer, Dominik Müller, Iñaki Soto Rey, Frank Kramer

Proceedings of the Public Health and Informatics, 2021

Multi-Disease Detection in Retinal Imaging Based on Ensembling Heterogeneous Deep Learning Models.

Dominik Müller, Iñaki Soto Rey, Frank Kramer

Proceedings of the German Medical Data Sciences 2021: Digital Medicine: Recognize - Understand - Heal - Proceedings of the Joint Conference of the 66th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) and the 13th Annual Meeting of the TMF, 2021

2020

Automated Chest CT Image Segmentation of COVID-19 Lung Infection based on 3D U-Net.

Dominik Müller, Iñaki Soto Rey, Frank Kramer

CoRR, 2020

2019

Electronic Image Documentation of Patient Reported Outcomes Using Mobile Technologies.

Iñaki Soto Rey, Tobias Hardt, Luca Hollenberg, Philipp Bruland, Sonja Ständer, Martin Dugas, Michael Storck

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Interoperability Improvement of Mobile Patient Survey (MoPat) Implementing Fast Health Interoperability Resources (FHIR).

Michael Storck, Luca Hollenberg, Martin Dugas, Iñaki Soto Rey

Proceedings of the ICT for Health Science Research - Proceedings of the EFMI 2019 Special Topic Conference, 2019

Reviving 30 Year Old Technology: Lessons Learned from Transferring Patient Data Using Data Matrix Codes.

Tobias Johannes Brix, Philipp Neuhaus, Michael Storck, Iñaki Soto Rey, Martin Dugas

Proceedings of the ICT for Health Science Research - Proceedings of the EFMI 2019 Special Topic Conference, 2019

2018

Standardising the Development of ODM Converters: The ODMToolBox.

Iñaki Soto Rey, Philipp Neuhaus, Philipp Bruland, Sophia Geßner, Julian Varghese, Stefan Hegselmann, Tobias J. Brix, Martin Dugas, Michael Storck

Proceedings of the Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth, 2018

Conducting a Multilingual Study Researching Traumatised Refugees Utilizing a Patient-Reported Outcome System.

Michael Storck, Gundula Christians, Birgit Möller, Martin Dugas, Iñaki Soto Rey

Proceedings of the German Medical Data Sciences: A Learning Healthcare System, 2018

2017

Operational Data Model Conversion to ResearchKit.

Iñaki Soto Rey, Sophia Geßner, Martin Dugas

Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

The Portal of Medical Data Models: Where Have We Been and Where Are We Going?

Sophia Geßner, Philipp Neuhaus, Julian Varghese, Philipp Bruland, Alexandra Meidt, Iñaki Soto Rey, Michael Storck, Justin Doods, Martin Dugas

Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Automated Transformation of CDISC ODM to OpenClinica.

Sophia Gessner, Michael Storck, Stefan Hegselmann, Martin Dugas, Iñaki Soto Rey

Proceedings of the German Medical Data Sciences: Visions and Bridges, 2017

2016

Efficiency and effectiveness evaluation of an automated multi-country patient count cohort system.

Iñaki Soto Rey

PhD thesis, 2016

Implementation of an ODM and HL7 Compliant Electronic Patient-Reported Outcome System.

Iñaki Soto Rey, Martin Dugas, Michael Storck

Proceedings of the Exploring Complexity in Health: An Interdisciplinary Systems Approach - Proceedings of MIE2016 at HEC2016, Munich, Germany, 28 August, 2016

2015

Clinical Trial Feasibility Study Questionnaire Analysis.

Iñaki Soto Rey, Martin Dugas, Fleur Fritz

Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

Web-Based Multi-Site Feasibility Questionnaire Tool.

Iñaki Soto Rey, Benjamin Trinczek, Jose Ignacio Amo, Jesús Bauselas, Martin Dugas, Fleur Fritz

Proceedings of the Health Informatics Meets eHealth, 2015

2014

Protocol Feasibility Workflow Using an Automated Multi-country Patient Cohort System.

Iñaki Soto Rey, Benjamin Trinczek, Töresin Karakoyun, Martin Dugas, Fleur Fritz

Proceedings of the e-Health - For Continuity of Care - Proceedings of MIE2014, the 25th European Medical Informatics Conference, Istanbul, Turkey, August 31, 2014

2013

Query Engine Optimization for the EHR4CR Protocol Feasibility Scenario.

Iñaki Soto Rey, Richard Bache, Martin Dugas, Fleur Fritz

Proceedings of the MEDINFO 2013, 2013