Eric Zimmermann

16 papers Journal 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Mixed Magnification Aggregation for Generalizable Region-Level Representations in Computational Pathology. CoRR Eric Zimmermann, Julian Viret, Michal Zelechowski, James Brian Hall, Neil A. Tenenholtz, Adam Casson, George Shaikovski, Eugene Vorontsov, Siqi Liu, Kristen Severson
2025	J	`jnl`	KerJEPA: Kernel Discrepancies for Euclidean Self-Supervised Learning. CoRR Eric Zimmermann, Harley Wiltzer, Justin Szeto, David Alvarez-Melis, Lester Mackey
2025	J	`jnl`	Multi-Focus Probes for Context-Preserving Network Exploration and Interaction in Immersive Analytics. CoRR Eric Zimmermann, Stefan Bruckner
2025	J	`jnl`	PRISM2: Unlocking Multi-Modal General Pathology AI with Clinical Dialogue. CoRR George Shaikovski, Eugene Vorontsov, Adam Casson, Julian Viret, Eric Zimmermann, Neil A. Tenenholtz, Yi Kan Wang, Jan Bernhard, Ran A. Godrich, Juan Retamero, Razik Yousfi, Nicolò Fusi, Thomas J. Fuchs, Kristen Severson, Siqi Liu
2024	J	`jnl`	Adapting Self-Supervised Learning for Computational Pathology. CoRR Eric Zimmermann, Neil A. Tenenholtz, James Brian Hall, George Shaikovski, Michal Zelechowski, Adam Casson, Fausto Milletari, Julian Viret, Eugene Vorontsov, Siqi Liu, Kristen Severson
2024	J	`jnl`	PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology. CoRR George Shaikovski, Adam Casson, Kristen Severson, Eric Zimmermann, Yi Kan Wang, Jeremy D. Kunz, Juan Retamero, Gerard Oakley, David S. Klimstra, Christopher Kanan, Matthew G. Hanna, Michal Zelechowski, Julian Viret, Neil A. Tenenholtz, James Brian Hall, Nicolò Fusi, Razik Yousfi, Peter Hamilton, William A. Moye, Eugene Vorontsov, Siqi Liu, Thomas J. Fuchs
2024	J	`jnl`	Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology. CoRR Eric Zimmermann, Eugene Vorontsov, Julian Viret, Adam Casson, Michal Zelechowski, George Shaikovski, Neil A. Tenenholtz, James Brian Hall, David S. Klimstra, Razik Yousfi, Thomas J. Fuchs, Nicoló Fusi, Siqi Liu, Kristen Severson
2023	J	`jnl`	An Empirical Study of Uncertainty in Polygon Annotation and the Impact of Quality Assurance. CoRR Eric Zimmermann, Justin Szeto, Frédéric Ratle
2023	J	`jnl`	Benchmarking a Benchmark: How Reliable is MS-COCO? CoRR Eric Zimmermann, Justin Szeto, Jérôme Pasquero, Frédéric Ratle
2023	—	`—`	Point Clouds Between Local and Global Approaches. Eric Zimmermann
2021	J	`jnl`	A Large-Scale Evaluation Of Shape-Aware Neighborhood Weights And Neighborhood Sizes. Comput. Aided Des. Martin Skrodzki, Eric Zimmermann
2020	J	`jnl`	Large-Scale Evaluation of Shape-Aware Neighborhood Weights & Neighborhood Sizes. CoRR Martin Skrodzki, Eric Zimmermann
2020	J	`jnl`	Surface Denoising based on Normal Filtering in a Robust Statistics Framework. CoRR Sunil Kumar Yadav, Martin Skrodzki, Eric Zimmermann, Konrad Polthier
2020	J	`jnl`	Variational Shape Approximation of Point Set Surfaces. CoRR Martin Skrodzki, Eric Zimmermann, Konrad Polthier
2020	J	`jnl`	Variational shape approximation of point set surfaces. Comput. Aided Geom. Des. Martin Skrodzki, Eric Zimmermann, Konrad Polthier
2018	J	`jnl`	Constraint-based point set denoising using normal voting tensor and restricted quadratic error metrics. Comput. Graph. Sunil Kumar Yadav, Ulrich Reitebuch, Martin Skrodzki, Eric Zimmermann, Konrad Polthier