GPGPU-beschleunigter anisotroper ICP zur Registrierung von Tiefendaten. - Eric Heim; Thomas Kilgus; Sven Haase; Justin Iszatt; Alfred M. Franz; Alexander Seitel; Michael Müller 001; Markus Fangerau; Joachim Hornegger; Hans-Peter Meinzer; Lena Maier-Hein (Bildverarbeitung für die Medizin, 2014)

Relative Comparison Kernel Learning with Auxiliary Kernels. - Eric Heim; Hamed Valizadegan; Milos Hauskrecht (ECML/PKDD (1), 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; et al. (IEEE Trans. Medical Imaging, 2014)

Sparse multidimensional patient modeling using auxiliary confidence labels. - Eric Heim; Milos Hauskrecht (BIBM, 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 (CURAC, 2015)

Efficient Online Relative Comparison Kernel Learning. - Eric Heim; Matthew Berger; Lee M. Seversky; Milos Hauskrecht (SDM, 2015)

Mobile markerless augmented reality and its application in forensic medicine. - Thomas Kilgus; Eric Heim; Sven Haase; Sabine Prüfer; Michael Müller 001; Alexander Seitel; Markus Fangerau; Tamara Wiebe; Justin Iszatt; Heinz-Peter Schlemmer; Joachim Hornegger; Kathrin Yen; et al. (Int. J. Comput. Assist. Radiol. Surg., 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 001; Anas Preukschas; Anna-Laura Wekerle; Stefanie Helfert; et al. (Int. J. Comput. Assist. Radiol. Surg., 2015)

Active Perceptual Similarity Modeling with Auxiliary Information. - Eric Heim; Matthew Berger; Lee M. Seversky; Milos Hauskrecht (CoRR, 2015)

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 (MICCAI (2), 2016)

Structure Sensor for mobile markerless augmented reality. - Thomas Kilgus; R. Bux; Alfred Michael Franz; Wiebke Johnen; Eric Heim; Markus Fangerau; Michael Müller 001; Kathrin Yen; Lena Maier-Hein (Image-Guided Procedures, 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 001; Lena Maier-Hein; Klaus H. Maier-Hein (Image Processing, 2016)

Clickstream analysis for crowd-based object segmentation with confidence. - Eric Heim; Alexander Seitel; Christian Stock; Fabian Isensee; Lena Maier-Hein (CoRR, 2016)

Abstract: Clickstreamanalyse zur Qualitätssicherung in der crowdbasierten Bildsegmentierung. - Eric Heim; Alexander Seitel; Christian Stock; Tobias Roß; Lena Maier-Hein (Bildverarbeitung für die Medizin, 2017)

Generating Triples With Adversarial Networks for Scene Graph Construction. - Matthew Klawonn; Eric Heim (AAAI, 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)

Large-scale medical image annotation with quality-controlled crowdsourcing. - Eric Heim (2018)

Exploiting Class Learnability in Noisy Data. - Matthew Klawonn; Eric Heim; James A. Hendler (AAAI, 2019)

Constrained Generative Adversarial Networks for Interactive Image Generation. - Eric Heim (CVPR, 2019)

Factor Analysis on Citation, Using a Combined Latent and Logistic Regression Model. - Namjoon Suh; Xiaoming Huo; Eric Heim; Lee M. Seversky (CoRR, 2019)

A network model that combines latent factors and sparse graphs. - Namjoon Suh; Xiaoming Huo; Eric Heim; Lee M. Seversky (Stat. Anal. Data Min., 2021)

Measuring AI Systems Beyond Accuracy. - Violet Turri; Rachel Dzombak; Eric Heim; Nathan M. VanHoudnos; Jay Palat; Anusha Sinha (CoRR, 2022)

What is Your Metric Telling You? Evaluating Classifier Calibration under Context-Specific Definitions of Reliability. - John Kirchenbauer; Jacob Oaks; Eric Heim (CoRR, 2022)

Assessing LLMs for High Stakes Applications. - 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 (ICSE-SEIP, 2024)

A Decision-driven Methodology for Designing Uncertainty-aware AI Self-Assessment. - Gregory Canal; Vladimir Leung; Philip Sage; Eric Heim; I-Jeng Wang (CoRR, 2024)

A Guide to Failure in Machine Learning: Reliability and Robustness from Foundations to Practice. - Eric Heim; Oren Wright; David Shriver (CoRR, 2025)