Evangelia Christodoulou

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All published works

Action	Title	Year	Authors
+ PDF Chat	Confidence intervals uncovered: Are we ready for real-world medical imaging AI?	2024	Evangelia Christodoulou Annika Reinke Rola Houhou Piotr Kalinowski Selen Erkan Carole H. Sudre Ninon Burgos Sofiène Boutaj Sophie Loizillon Maëlys Solal
+	Understanding metric-related pitfalls in image analysis validation	2024	Annika Reinke Minu D. Tizabi Michael Baumgartner Matthias Eisenmann Doreen Heckmann-Nötzel Ali Emre Kavur Tim Rädsch Carole H. Sudre Laura Ación Michela Antonelli
+	Metrics reloaded: recommendations for image analysis validation	2024	Lena Maier‐Hein Annika Reinke Patrick Godau Minu D. Tizabi Florian Buettner Evangelia Christodoulou Ben Glocker Fabian Isensee Jens Kleesiek Michal Kozubek
+ PDF Chat	Sources of performance variability in deep learning-based polyp detection	2023	Thuy Nuong Tran Thomas Adler Amine Yamlahi Evangelia Christodoulou Patrick Godau Annika Reinke Minu D. Tizabi Peter Sauer Tillmann Persicke Jörg Albert
+	Understanding metric-related pitfalls in image analysis validation	2023	Annika Reinke Minu D. Tizabi Michael Baumgartner Matthias Eisenmann Doreen Heckmann-Nötzel Ali Emre Kavur Tim Rädsch Carole H. Sudre Laura Ación Michela Antonelli
+	Deployment of Image Analysis Algorithms under Prevalence Shifts	2023	Patrick Godau Piotr Kalinowski Evangelia Christodoulou Annika Reinke Minu D. Tizabi Luciana Ferrer Paul F. Jäger Klaus H. Maier‐Hein
+	Sources of performance variability in deep learning-based polyp detection	2022	Thuy Nuong Tran Tim Adler Amine Yamlahi Evangelia Christodoulou Patrick Godau Annika Reinke Minu D. Tizabi Peter W. Sauer Tillmann Persicke Jörg Albert
+	Metrics reloaded: Recommendations for image analysis validation	2022	Lena Maier‐Hein Annika Reinke Patrick Godau Minu D. Tizabi Florian Buettner Evangelia Christodoulou Ben Glocker Fabian Isensee Jens Kleesiek Michal Kozubek
+ PDF Chat	Adaptive sample size determination for the development of clinical prediction models	2021	Evangelia Christodoulou Maarten van Smeden Michael Edlinger D. Timmerman Maria Wanitschek Ewout W. Steyerberg Ben Van Calster
+	Common Limitations of Image Processing Metrics: A Picture Story	2021	Annika Reinke Minu D. Tizabi Carole H. Sudre Matthias Eisenmann Tim Rädsch Michael Baumgartner Laura Ación Michela Antonelli Tal Arbel Spyridon Bakas
+ PDF Chat	Adaptive sample size determination for the development of clinical prediction models	2020	Evangelia Christodoulou Maarten van Smeden Michael Edlinger D. Timmerman Maria Wanitschek Ewout W. Steyerberg Ben Van Calster
+	Statistics versus machine learning: definitions are interesting (but understanding, methodology, and reporting are more important)	2019	Ben Van Calster Jan Y Verbakel Evangelia Christodoulou Ewout W. Steyerberg Gary S. Collins

Common Coauthors

Coauthor	Papers Together
Annika Reinke	9
Minu D. Tizabi	9
Patrick Godau	8
Klaus H. Maier‐Hein	8
Ben Van Calster	8
Paul F. Jäger	7
Annette Kopp‐Schneider	6
Lena Maier‐Hein	6
Gaël Varoquaux	6
Carole H. Sudre	6
Michela Antonelli	6
Nicola Rieke	6
Bjoern Menze	5
Julio Sáez-Rodríguez	5
Felix Nickel	5
Henning Müller	5
Amin Madani	5
Arriel Benis	5
Luciana Ferrer	5
Bennett A. Landman	5
Fabian Isensee	5
Geert Litjens	5
Michal Kozubek	5
Nasir Rajpoot	5
Beth A. Cimini	5
Brennan Nichyporuk	5
Erik Meijering	5
Jens Kleesiek	5
Pierre Jannin	5
Anne L. Martel	5
Tim Rädsch	5
Sotirios A. Tsaftaris	5
Abdel Aziz Taha	5
Ronald M. Summers	5
Tahsin Kurç	5
Ben Glocker	5
Tal Arbel	5
Anna Kreshuk	5
Veronika Cheplygina	5
Keyvan Farahani	5
Mauricio Reyes	5
Alexandros Karargyris	5
Bram van Ginneken	5
Merel Huisman	5
Spyridon Bakas	5
Michael M. Hoffman	5
Shravya Shetty	5
Gary S. Collins	5
Laura Ación	5
Bernhard Kainz	5

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Common Limitations of Image Processing Metrics: A Picture Story	2021	Annika Reinke Minu D. Tizabi Carole H. Sudre Matthias Eisenmann Tim Rädsch Michael Baumgartner Laura Ación Michela Antonelli Tal Arbel Spyridon Bakas	4
+	Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient	2021	Florian Kofler Ivan Ezhov Fabian Isensee Fabian Balsiger Christoph Berger Maximilian Koerner Beatrice Demiray Julia Rackerseder Johannes C. Paetzold Hongwei Li	4
+	Logistic regression modeling and the number of events per variable: selection bias dominates	2011	Ewout W. Steyerberg M. Schemper Frank E. Harrell	2
+	A simulation study of the number of events per variable in logistic regression analysis	1996	Peter Peduzzi John Concato Elizabeth Kemper Theodore R. Holford Alvan R. Feinstein	2
+	Regression, Prediction and Shrinkage	1983	J. B. Copas	2
+	Predictive value of statistical models	1990	Hans C. van Houwelingen Saskia le Cessie	2
+ PDF Chat	Minimum sample size for developing a multivariable prediction model: Part I – Continuous outcomes	2018	Richard D. Riley Kym I E Snell Joie Ensor Danielle L. Burke Frank E. Harrell Karel G.M. Moons Gary S. Collins	2
+ PDF Chat	Why rankings of biomedical image analysis competitions should be interpreted with care	2018	Lena Maier‐Hein Matthias Eisenmann Annika Reinke Sinan Onogur Marko Stankovic Patrick Scholz Tal Arbel Hrvoje Bogunović Andrew P. Bradley Aaron Carass	2
+	A large annotated medical image dataset for the development and evaluation of segmentation algorithms	2019	Amber L. Simpson Michela Antonelli Spyridon Bakas Michel Bilello Keyvan Farahani Bram van Ginneken Annette Kopp‐Schneider Bennett A. Landman Geert Litjens Bjoern Menze	2
+	Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)	2019	Noel Codella Veronica Rotemberg Philipp Tschandl M. Emre Celebi Stephen W. Dusza David Gutman Brian Helba Aadi Kalloo Konstantinos Liopyris Michael A. Marchetti	2
+	Panoptic Segmentation	2019	Alexander Kirillov Kaiming He Ross Girshick Carsten Rother Piotr Dollár	2
+	Hidden stratification causes clinically meaningful failures in machine learning for medical imaging	2020	Luke Oakden‐Rayner Jared Dunnmon Gustavo Carneiro Christopher Ré	2
+ PDF Chat	Calculating the sample size required for developing a clinical prediction model	2020	Richard D. Riley Joie Ensor Kym I E Snell Frank E. Harrell Glen P. Martin Johannes B. Reitsma Karel G.M. Moons Gary S. Collins Maarten van Smeden	2
+ PDF Chat	Regression shrinkage methods for clinical prediction models do not guarantee improved performance: Simulation study	2020	Ben Van Calster Maarten van Smeden B. De Cock Ewout W. Steyerberg	2
+ PDF Chat	PatchPerPix for Instance Segmentation	2020	Lisa Mais P. B. Hirsch Dagmar Kainmueller	2
+ PDF Chat	Methods and open-source toolkit for analyzing and visualizing challenge results	2021	Manuel Wiesenfarth Annika Reinke Bennett A. Landman Matthias Eisenmann Laura Aguilera Saiz M. Jorge Cardoso Lena Maier‐Hein Annette Kopp‐Schneider	2
+ PDF Chat	Heidelberg colorectal data set for surgical data science in the sensor operating room	2021	Lena Maier‐Hein Martin Wagner Tobias Roß Annika Reinke Sebastian Bodenstedt Peter M. Full Hellena Hempe Diana Mîndroc-Filimon Patrick Scholz Thuy Nuong Tran	2
+ PDF Chat	Green Algorithms: Quantifying the Carbon Footprint of Computation	2021	Loïc Lannelongue Jason Grealey Michael Inouye	2
+ PDF Chat	The Medical Segmentation Decathlon	2022	Michela Antonelli Annika Reinke Spyridon Bakas Keyvan Farahani Annette Kopp‐Schneider Bennett A. Landman Geert Litjens Bjoern Menze Olaf Ronneberger Ronald M. Summers	2
+	Better Uncertainty Calibration via Proper Scores for Classification and Beyond	2022	Sebastian Gruber Florian Buettner	2
+	Towards responsible research in digital technology for health care	2021	Pierre Jannin	2
+	Carbon Emissions and Large Neural Network Training	2021	David A. Patterson Joseph E. Gonzalez Quoc V. Le Liang Chen Lluís-Miquel Munguía Daniel Rothchild David R. So Maud Texier Jeff Dean	2
+	Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models	2020	Lasse F. Wolff Anthony Benjamin Kanding Raghavendra Selvan	2
+	Energy and Policy Considerations for Deep Learning in NLP	2019	Emma Strubell Ananya Ganesh Andrew McCallum	2
+	Analysis and Comparison of Classification Metrics	2022	Luciana Ferrer	2
+	Beyond calibration: estimating the grouping loss of modern neural networks	2022	Alexandre Pérez Marine Le Morvan Gaël Varoquaux	2
+	A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification	2022	Paul F. Jaeger Carsten T. Lüth Lukas Klein Till J. Bungert	2
+	Understanding metric-related pitfalls in image analysis validation	2024	Annika Reinke Minu D. Tizabi Michael Baumgartner Matthias Eisenmann Doreen Heckmann-Nötzel Ali Emre Kavur Tim Rädsch Carole H. Sudre Laura Ación Michela Antonelli	2
+ PDF Chat	Sources of performance variability in deep learning-based polyp detection	2023	Thuy Nuong Tran Thomas Adler Amine Yamlahi Evangelia Christodoulou Patrick Godau Annika Reinke Minu D. Tizabi Peter Sauer Tillmann Persicke Jörg Albert	2
+ PDF Chat	blob loss: Instance Imbalance Aware Loss Functions for Semantic Segmentation	2023	Florian Kofler Suprosanna Shit Ivan Ezhov Lucas Fidon Izabela Horvath Rami Al-Maskari Hongwei Li Harsharan S. Bhatia Timo Loehr Marie Piraud	2
+	Metrics reloaded: recommendations for image analysis validation	2024	Lena Maier‐Hein Annika Reinke Patrick Godau Minu D. Tizabi Florian Buettner Evangelia Christodoulou Ben Glocker Fabian Isensee Jens Kleesiek Michal Kozubek	2
+	Performance of logistic regression modeling: beyond the number of events per variable, the role of data structure	2011	Delphine S. Courvoisier Christophe Combescure Thomas Agoritsas Angèle Gayet‐Ageron Thomas Perneger	2
+ PDF Chat	Events per variable (EPV) and the relative performance of different strategies for estimating the out-of-sample validity of logistic regression models	2014	Peter C. Austin Ewout W. Steyerberg	2
+ PDF Chat	Validation of prediction models based on lasso regression with multiply imputed data	2014	Jammbe Z. Musoro Aeilko H. Zwinderman Milo A. Puhan Gerben ter Riet Ronald B. Geskus	2
+ PDF Chat	Net benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests	2016	Andrew J. Vickers Ben Van Calster Ewout W. Steyerberg	2
+ PDF Chat	Quantifying the impact of different approaches for handling continuous predictors on the performance of a prognostic model	2016	Gary S. Collins Emmanuel Ogundimu Jonathan Cook Yannick Le Manach Douglas G. Altman	2
+ PDF Chat	Assessment of predictive performance in incomplete data by combining internal validation and multiple imputation	2016	Simone Wahl Anne‐Laure Boulesteix Astrid Zierer Barbara Thorand Mark A. van de Wiel	2
+ PDF Chat	No rationale for 1 variable per 10 events criterion for binary logistic regression analysis	2016	Maarten van Smeden Joris A. H. de Groot Karel G. M. Moons Gary S. Collins Douglas G. Altman Marinus J.C. Eijkemans Johannes B. Reitsma	2
+ PDF Chat	Sample size for binary logistic prediction models: Beyond events per variable criteria	2018	Maarten van Smeden Karel G. M. Moons Joris A. H. de Groot Gary S. Collins Douglas G. Altman Marinus J.C. Eijkemans Johannes B. Reitsma	2
+	Internal validation of predictive models	2001	Ewout W. Steyerberg Frank E. Harrell Gerard Borsboom Marinus J.C. Eijkemans Yvonne Vergouwe J. Dik F. Habbema	1
+	Bias reduction of maximum likelihood estimates	1993	David Firth	1
+ PDF Chat	ROC and AUC with a Binary Predictor: a Potentially Misleading Metric	2019	John Muschelli	1
+	Regression Modeling Strategies	2015	Frank E. Harrell	1
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	1
+ PDF Chat	Objective Criteria for the Evaluation of Clustering Methods	1971	Telmo Menezes Camille Roth	1
+ PDF Chat	A calibration hierarchy for risk models was defined: from utopia to empirical data	2016	Ben Van Calster Daan Nieboer Yvonne Vergouwe B. De Cock Michael Pencina Ewout W. Steyerberg	1
+	Metrics for Multi-Class Classification: an Overview	2020	Margherita Grandini E. Bagli Giorgio Visani	1
+ PDF Chat	Weighted boxes fusion: Ensembling boxes from different object detection models	2021	Roman Solovyev Weimin Wang Tatiana Gabruseva	1
+ PDF Chat	Quantifying over-estimation in early stopped clinical trials and the “freezing effect” on subsequent research	2016	Hao Wang Gary L. Rosner Steven N. Goodman	1
+ PDF Chat	CONSORT 2010 Statement: Updated Guidelines for Reporting Parallel Group Randomized Trials	2011	Kenneth F. Schulz Douglas G. Altman David Moher	1