Eric Heim

ORCID

Publication Activity (10 Years)

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

Top Venues

CoRR

Int. J. Comput. Assist. Radiol. Surg.

AAAI

Bildverarbeitung für die Medizin

University of Heidelberg, Germany (PHD)

Education History

University of Heidelberg, Germany

PHD

Publications

Shannon K. Gallagher, Jasmine Ratchford, Tyler Brooks, Bryan P. Brown, Eric Heim, William R. Nichols, Scott Mcmillan, Swati Rallapalli, Carol J. Smith, Nathan M. VanHoudnos, Nick Winski, Andrew O. Mellinger
Assessing LLMs for High Stakes Applications. ICSE-SEIP (2024)
John Kirchenbauer, Jacob Oaks, Eric Heim
What is Your Metric Telling You? Evaluating Classifier Calibration under Context-Specific Definitions of Reliability. CoRR (2022)
Violet Turri, Rachel Dzombak, Eric Heim, Nathan M. VanHoudnos, Jay Palat, Anusha Sinha
Measuring AI Systems Beyond Accuracy. CoRR (2022)
Namjoon Suh, Xiaoming Huo, Eric Heim, Lee M. Seversky
A network model that combines latent factors and sparse graphs. Stat. Anal. Data Min. 14 (2) (2021)
Eric Heim
Constrained Generative Adversarial Networks for Interactive Image Generation. CoRR (2019)
Eric Heim
Constrained Generative Adversarial Networks for Interactive Image Generation. CVPR (2019)
Namjoon Suh, Xiaoming Huo, Eric Heim, Lee M. Seversky
Factor Analysis on Citation, Using a Combined Latent and Logistic Regression Model. CoRR (2019)
Matthew Klawonn, Eric Heim, James A. Hendler
Exploiting Class Learnability in Noisy Data. AAAI (2019)
Matthew Klawonn, Eric Heim, James A. Hendler
Exploiting Class Learnability in Noisy Data. CoRR (2018)
Eric Heim, Alexander Seitel, Jonas Andrulis, Fabian Isensee, Christian Stock, Tobias Roß, Lena Maier-Hein
Clickstream Analysis for Crowd-Based Object Segmentation with Confidence. IEEE Trans. Pattern Anal. Mach. Intell. 40 (12) (2018)
Matthew Klawonn, Eric Heim
Generating Triples With Adversarial Networks for Scene Graph Construction. AAAI (2018)
Matthew Klawonn, Eric Heim
Generating Triples with Adversarial Networks for Scene Graph Construction. CoRR (2018)
Eric Heim, Alexander Seitel, Christian Stock, Tobias Roß, Lena Maier-Hein
Abstract: Clickstreamanalyse zur Qualitätssicherung in der crowdbasierten Bildsegmentierung. Bildverarbeitung für die Medizin (2017)
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
Crowd-Algorithm Collaboration for Large-Scale Endoscopic Image Annotation with Confidence. MICCAI (2) (2016)
Thomas Kilgus, R. Bux, Alfred Michael Franz, W. Johnen, Eric Heim, Markus Fangerau, Michael Müller, Kathrin Yen, Lena Maier-Hein
Structure Sensor for mobile markerless augmented reality. Medical Imaging: Image-Guided Procedures (2016)
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
A learning-based, fully automatic liver tumor segmentation pipeline based on sparsely annotated training data. Medical Imaging: Image Processing (2016)
Eric Heim, Alexander Seitel, Christian Stock, Fabian Isensee, Lena Maier-Hein
Clickstream analysis for crowd-based object segmentation with confidence. CoRR (2016)
Eric Heim, Milos Hauskrecht
Sparse multidimensional patient modeling using auxiliary confidence labels. BIBM (2015)
Eric Heim, Matthew Berger, Lee M. Seversky, Milos Hauskrecht
Active Perceptual Similarity Modeling with Auxiliary Information. CoRR (2015)
Eric Heim, Milos Hauskrecht
Sparse Multidimensional Patient Modeling using Auxiliary Confidence Labels. CoRR (2015)
Eric Heim, Matthew Berger, Lee M. Seversky, Milos Hauskrecht
Efficient Online Relative Comparison Kernel Learning. CoRR (2015)
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
Crowdtruth validation: a new paradigm for validating algorithms that rely on image correspondences. Int. J. Comput. Assist. Radiol. Surg. 10 (8) (2015)
Eric Heim, Tobias Roß, Tobias Norajitra, Marco Nolden, Keno März, Daniel Kondermann, Stefanie Speidel, Klaus H. Maier-Hein, Lena Maier-Hein
Crowdgestützte Organsegmentierung: Möglichkeiten und Grenzen. CURAC (2015)
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
Mobile markerless augmented reality and its application in forensic medicine. Int. J. Comput. Assist. Radiol. Surg. 10 (5) (2015)
Eric Heim, Matthew Berger, Lee M. Seversky, Milos Hauskrecht
Efficient Online Relative Comparison Kernel Learning. SDM (2015)
Lena Maier-Hein, Anja Groch, Adrien Bartoli, Sebastian Bodenstedt, G. Boissonnat, P.-L. 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
Comparative Validation of Single-Shot Optical Techniques for Laparoscopic 3-D Surface Reconstruction. IEEE Trans. Medical Imaging 33 (10) (2014)
Eric Heim, Hamed Valizadegan, Milos Hauskrecht
Relative Comparison Kernel Learning with Auxiliary Kernels. ECML/PKDD (1) (2014)
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
GPGPU-beschleunigter anisotroper ICP zur Registrierung von Tiefendaten. Bildverarbeitung für die Medizin (2014)
Eric Heim, Hamed Valizadegan, Milos Hauskrecht
Relative Comparison Kernel Learning with Auxiliary Kernels. CoRR (2013)

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Publication Activity (10 Years)

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Eric Heim