Eric Heim

According to our database, Eric Heim authored at least 23 papers between 2014 and 2022.

Collaborative distances:

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

2022

What is Your Metric Telling You? Evaluating Classifier Calibration under Context-Specific Definitions of Reliability.

John Kirchenbauer, Jacob Oaks, Eric Heim

CoRR, 2022

Measuring AI Systems Beyond Accuracy.

Violet Turri, Rachel Dzombak, Eric Heim, Nathan M. VanHoudnos, Jay Palat, Anusha Sinha

CoRR, 2022

2021

A network model that combines latent factors and sparse graphs.

Namjoon Suh, Xiaoming Huo, Eric Heim, Lee M. Seversky

Stat. Anal. Data Min., 2021

2019

Factor Analysis on Citation, Using a Combined Latent and Logistic Regression Model.

Namjoon Suh, Xiaoming Huo, Eric Heim, Lee M. Seversky

CoRR, 2019

Constrained Generative Adversarial Networks for Interactive Image Generation.

Eric Heim

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Exploiting Class Learnability in Noisy Data.

Matthew Klawonn, Eric Heim, James A. Hendler

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Large-scale medical image annotation with quality-controlled crowdsourcing.

Eric Heim

PhD thesis, 2018

Clickstream Analysis for Crowd-Based Object Segmentation with Confidence.

Eric Heim, Alexander Seitel, Jonas Andrulis, Fabian Isensee, Christian Stock, Tobias Roß, Lena Maier-Hein

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Generating Triples With Adversarial Networks for Scene Graph Construction.

Matthew Klawonn, Eric Heim

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Abstract: Clickstreamanalyse zur Qualitätssicherung in der crowdbasierten Bildsegmentierung.

Eric Heim, Alexander Seitel, Christian Stock, Tobias Roß, Lena Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

2016

Clickstream analysis for crowd-based object segmentation with confidence.

Eric Heim, Alexander Seitel, Christian Stock, Fabian Isensee, Lena Maier-Hein

CoRR, 2016

A learning-based, fully automatic liver tumor segmentation pipeline based on sparsely annotated training data.

Michael Götz, Eric Heim, Keno März, Tobias Norajitra, Mohammadreza Hafezi, Nassim Fard, Arianeb Mehrabi, Max Knoll, Christian Weber, Lena Maier-Hein, Klaus H. Maier-Hein

Proceedings of the Medical Imaging 2016: Image Processing, 2016

Structure Sensor for mobile markerless augmented reality.

Thomas Kilgus, R. Bux, Alfred Michael Franz, Wiebke Johnen, Eric Heim, Markus Fangerau, Michael Müller, Kathrin Yen, Lena Maier-Hein

Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016

Crowd-Algorithm Collaboration for Large-Scale Endoscopic Image Annotation with Confidence.

Lena Maier-Hein, Tobias Roß, Janek Gröhl, Ben Glocker, Sebastian Bodenstedt, Christian Stock, Eric Heim, Michael Götz, Sebastian J. Wirkert, Hannes Kenngott, Stefanie Speidel, Klaus H. Maier-Hein

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015

Active Perceptual Similarity Modeling with Auxiliary Information.

Eric Heim, Matthew Berger, Lee M. Seversky, Milos Hauskrecht

CoRR, 2015

Crowdtruth validation: a new paradigm for validating algorithms that rely on image correspondences.

Lena Maier-Hein, Daniel Kondermann, Tobias Roß, Sven Mersmann, Eric Heim, Sebastian Bodenstedt, Hannes Götz Kenngott, Alexandro Sanchez, Martin Wagner, Anas Preukschas, Anna-Laura Wekerle, Stefanie Helfert, Keno März, Arianeb Mehrabi, Stefanie Speidel, Christian Stock

Int. J. Comput. Assist. Radiol. Surg., 2015

Mobile markerless augmented reality and its application in forensic medicine.

Thomas Kilgus, Eric Heim, Sven Haase, Sabine Prüfer, Michael Müller, Alexander Seitel, Markus Fangerau, Tamara Wiebe, Justin Iszatt, Heinz-Peter Schlemmer, Joachim Hornegger, Kathrin Yen, Lena Maier-Hein

Int. J. Comput. Assist. Radiol. Surg., 2015

Efficient Online Relative Comparison Kernel Learning.

Eric Heim, Matthew Berger, Lee M. Seversky, Milos Hauskrecht

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Crowdgestützte Organsegmentierung: Möglichkeiten und Grenzen.

Eric Heim, Tobias Roß, Tobias Norajitra, Marco Nolden, Keno März, Daniel Kondermann, Stefanie Speidel, Klaus H. Maier-Hein, Lena Maier-Hein

Proceedings of the 14. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, 2015

Sparse multidimensional patient modeling using auxiliary confidence labels.

Eric Heim, Milos Hauskrecht

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014

Comparative Validation of Single-Shot Optical Techniques for Laparoscopic 3-D Surface Reconstruction.

Lena Maier-Hein, Anja Groch, Adrien Bartoli, Sebastian Bodenstedt, G. Boissonnat, Ping-Lin Chang, Neil Clancy, Daniel S. Elson, Sven Haase, Eric Heim, Joachim Hornegger, Pierre Jannin, Hannes Kenngott, Thomas Kilgus, Beat P. Müller-Stich, D. Oladokun, Sebastian Röhl, Thiago R. dos Santos, Heinz-Peter Schlemmer, Alexander Seitel, Stefanie Speidel, Martin Wagner, Danail Stoyanov

IEEE Trans. Medical Imaging, 2014

Relative Comparison Kernel Learning with Auxiliary Kernels.

Eric Heim, Hamed Valizadegan, Milos Hauskrecht

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

GPGPU-beschleunigter anisotroper ICP zur Registrierung von Tiefendaten.

Eric Heim, Thomas Kilgus, Sven Haase, Justin Iszatt, Alfred M. Franz, Alexander Seitel, Michael Müller, Markus Fangerau, Joachim Hornegger, Hans-Peter Meinzer, Lena Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2014, Algorithmen - Systeme, 2014