Iñaki Soto Rey

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 25

Top Topics

Top Venues

Publications

Dominik Müller, Philip Meyer, Lukas Rentschler, Robin Manz, Jonas Bäcker, Samantha Cramer, Christoph Wengenmayr, Bruno Märkl, Ralf Huss, Iñaki Soto Rey, Johannes Raffler
DeepGleason: a System for Automated Gleason Grading of Prostate Cancer using Deep Neural Networks. CoRR (2024)
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
Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer. CoRR (2024)
Dominik Müller, Dennis Hartmann, Iñaki Soto Rey, Frank Kramer
Abstract: AUCMEDI - Von der Insellösung zur einheitlichen und automatischen Klassifizierung von Medizinischen Bildern. Bildverarbeitung für die Medizin (2023)
Dominik Müller, Iñaki Soto Rey, Frank Kramer
Towards a Guideline for Evaluation Metrics in Medical Image Segmentation. CoRR (2022)
Dominik Müller, Iñaki Soto Rey, Frank Kramer
An Analysis on Ensemble Learning Optimized Medical Image Classification With Deep Convolutional Neural Networks. IEEE Access 10 (2022)
Dominik Müller, Iñaki Soto Rey, Frank Kramer
An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural Networks. CoRR (2022)
Dominik Müller, Dennis Hartmann, Philip Meyer, Florian Auer, Iñaki Soto Rey, Frank Kramer
MISeval: A Metric Library for Medical Image Segmentation Evaluation. MIE (2022)
Dominik Müller, Dennis Hartmann, Philip Meyer, Florian Auer, Iñaki Soto Rey, Frank Kramer
MISeval: a Metric Library for Medical Image Segmentation Evaluation. CoRR (2022)
Dennis Hartmann, Verena Schmid, Philip Meyer, Iñaki Soto Rey, Dominik Müller, Frank Kramer
MISm: A Medical Image Segmentation Metric for Evaluation of weak labeled Data. CoRR (2022)
Dominik Müller, Iñaki Soto Rey, Frank Kramer
Multi-Disease Detection in Retinal Imaging Based on Ensembling Heterogeneous Deep Learning Models. GMDS (2021)
Dennis Hartmann, Dominik Müller, Iñaki Soto Rey, Frank Kramer
Assessing the Role of Random Forests in Medical Image Segmentation. CoRR (2021)
Dominik Müller, Iñaki Soto Rey, Frank Kramer
Multi-Disease Detection in Retinal Imaging based on Ensembling Heterogeneous Deep Learning Models. CoRR (2021)
Philip Meyer, Dominik Müller, Iñaki Soto Rey, Frank Kramer
COVID-19 Image Segmentation Based on Deep Learning and Ensemble Learning. MIE (2021)
Dominik Müller, Iñaki Soto Rey, Frank Kramer
Automated Chest CT Image Segmentation of COVID-19 Lung Infection based on 3D U-Net. CoRR (2020)
Michael Storck, Luca Hollenberg, Martin Dugas, Iñaki Soto Rey
Interoperability Improvement of Mobile Patient Survey (MoPat) Implementing Fast Health Interoperability Resources (FHIR). EFMI-STC (2019)
Tobias Johannes Brix, Philipp Neuhaus, Michael Storck, Iñaki Soto Rey, Martin Dugas
Reviving 30 Year Old Technology: Lessons Learned from Transferring Patient Data Using Data Matrix Codes. EFMI-STC (2019)
Iñaki Soto Rey, Tobias Hardt, Luca Hollenberg, Philipp Bruland, Sonja Ständer, Martin Dugas, Michael Storck
Electronic Image Documentation of Patient Reported Outcomes Using Mobile Technologies. MedInfo (2019)
Michael Storck, Gundula Christians, Birgit Möller, Martin Dugas, Iñaki Soto Rey
Conducting a Multilingual Study Researching Traumatised Refugees Utilizing a Patient-Reported Outcome System. GMDS (2018)
Iñaki Soto Rey, Philipp Neuhaus, Philipp Bruland, Sophia Geßner, Julian Varghese, Stefan Hegselmann, Tobias Brix, Martin Dugas, Michael Storck
Standardising the Development of ODM Converters: The ODMToolBox. MIE (2018)
Sophia Gessner, Michael Storck, Stefan Hegselmann, Martin Dugas, Iñaki Soto Rey
Automated Transformation of CDISC ODM to OpenClinica. GMDS (2017)
Sophia Geßner, Philipp Neuhaus, Julian Varghese, Philipp Bruland, Alexandra Meidt, Iñaki Soto Rey, Michael Storck, Justin Doods, Martin Dugas
The Portal of Medical Data Models: Where Have We Been and Where Are We Going? MedInfo (2017)
Iñaki Soto Rey, Sophia Geßner, Martin Dugas
Operational Data Model Conversion to ResearchKit. MedInfo (2017)
Iñaki Soto Rey, Martin Dugas, Michael Storck
Implementation of an ODM and HL7 Compliant Electronic Patient-Reported Outcome System. MIE (2016)
Iñaki Soto Rey, Martin Dugas, Fleur Fritz
Clinical Trial Feasibility Study Questionnaire Analysis. MedInfo (2015)
Iñaki Soto Rey, Benjamin Trinczek, Jose Ignacio Amo, Jesús Bauselas, Martin Dugas, Fleur Fritz
Web-Based Multi-Site Feasibility Questionnaire Tool. eHealth (2015)
Iñaki Soto Rey, Benjamin Trinczek, Töresin Karakoyun, Martin Dugas, Fleur Fritz
Protocol Feasibility Workflow Using an Automated Multi-country Patient Cohort System. MIE (2014)
Iñaki Soto Rey, Richard Bache, Martin Dugas, Fleur Fritz
Query Engine Optimization for the EHR4CR Protocol Feasibility Scenario. MedInfo (2013)