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- David Klee
aka: David M. Klee
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Publication search results
found 113 matches
- 2024
- Jianning Li, David G. Ellis, Antonio Pepe, Christina Gsaxner, Michele R. Aizenberg, Jens Kleesiek, Jan Egger:
Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model. J. Medical Syst. 48(1): 55 (2024) - David Chester, Xerxes D. Arsiwalla, Louis H. Kauffman, Michel Planat, Klee Irwin:
Quantization of a New Canonical, Covariant, and Symplectic Hamiltonian Density. Symmetry 16(3): 316 (2024) - Arsh Tangri, Ondrej Biza, Dian Wang, David Klee, Owen Howell, Robert Platt:
Equivariant Offline Reinforcement Learning. CoRR abs/2406.13961 (2024) - 2023
- Michel Planat, Marcelo M. Amaral, David Chester, Klee Irwin:
SL(2, C) Scheme Processing of Singularities in Quantum Computing and Genetics. Axioms 12(3): 233 (2023) - Jianning Li, David G. Ellis, Oldrich Kodym, Laurèl Rauschenbach, Christoph Rieß, Ulrich Sure, Karsten H. Wrede, Carlos M. Alvarez, Marek Wodzinski, Mateusz Daniol, Daria Hemmerling, Hamza Mahdi, Allison Clement, Evan Kim, Zachary Fishman, Cari M. Whyne, James G. Mainprize, Michael R. Hardisty, Shashwat Pathak, Chitimireddy Sindhura, Rama Krishna Sai S. Gorthi, Degala Venkata Kiran, Subrahmanyam Gorthi, Bokai Yang, Ke Fang, Xingyu Li, Artem Kroviakov, Lei Yu, Yuan Jin, Antonio Pepe, Christina Gsaxner, Adam Herout, Victor Alves, Michal Spanel, Michele R. Aizenberg, Jens Kleesiek, Jan Egger:
Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge. Medical Image Anal. 88: 102865 (2023) - Hai Huu Nguyen, Andrea Baisero, David Klee, Dian Wang, Robert Platt, Christopher Amato:
Equivariant Reinforcement Learning under Partial Observability. CoRL 2023: 3309-3320 - Zdravko Marinov, Simon Reiß, David Kersting, Jens Kleesiek, Rainer Stiefelhagen:
Mirror U-Net: Marrying Multimodal Fission with Multi-task Learning for Semantic Segmentation in Medical Imaging. ICCV (Workshops) 2023: 2275-2285 - David Klee, Ondrej Biza, Robert Platt, Robin Walters:
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction. ICLR 2023 - Mingxi Jia, Dian Wang, Guanang Su, David Klee, Xupeng Zhu, Robin Walters, Robert Platt:
SEIL: Simulation-augmented Equivariant Imitation Learning. ICRA 2023: 1845-1851 - Owen Howell, David Klee, Ondrej Biza, Linfeng Zhao, Robin Walters:
Equivariant Single View Pose Prediction Via Induced and Restriction Representations. NeurIPS 2023 - David M. Klee, Ondrej Biza, Robert Platt, Robin Walters:
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction. CoRR abs/2302.13926 (2023) - Zdravko Marinov, Simon Reiß, David Kersting, Jens Kleesiek, Rainer Stiefelhagen:
Mirror U-Net: Marrying Multimodal Fission with Multi-task Learning for Semantic Segmentation in Medical Imaging. CoRR abs/2303.07126 (2023) - Owen Howell, David Klee, Ondrej Biza, Linfeng Zhao, Robin Walters:
Equivariant Single View Pose Prediction Via Induced and Restricted Representations. CoRR abs/2307.03704 (2023) - 2022
- Marcelo M. Amaral, David Chester, Fang Fang, Klee Irwin:
Exploiting Anyonic Behavior of Quasicrystals for Topological Quantum Computing. Symmetry 14(9): 1780 (2022) - Michel Planat, Marcelo M. Amaral, Fang Fang, David Chester, Raymond Aschheim, Klee Irwin:
Character Varieties and Algebraic Surfaces for the Topology of Quantum Computing. Symmetry 14(5): 915 (2022) - William Seymour, Max Van Kleek, Reuben Binns, Dave Murray-Rust:
Respect as a Lens for the Design of AI Systems. AIES 2022: 641-652 - David Klee, Ondrej Biza, Robert Platt:
Graph-Structured Policy Learning for Multi-Goal Manipulation Tasks. IROS 2022: 4765-4772 - David Klee, Ondrej Biza, Robert Platt, Robin Walters:
Image to Icosahedral Projection for SO(3) Object Reasoning from Single-View Images. NeurReps 2022: 64-80 - Ondrej Biza, Thomas Kipf, David Klee, Robert Platt Jr., Jan-Willem van de Meent, Lawson L. S. Wong:
Factored World Models for Zero-Shot Generalization in Robotic Manipulation. CoRR abs/2202.05333 (2022) - Jianning Li, David G. Ellis, Antonio Pepe, Christina Gsaxner, Michele R. Aizenberg, Jens Kleesiek, Jan Egger:
Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model. CoRR abs/2204.05703 (2022) - Lena Maier-Hein, Annika Reinke, Evangelia Christodoulou, Ben Glocker, Patrick Godau, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Bram van Ginneken, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Annette Kopp-Schneider, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir M. Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clarisa Sánchez Gutiérrez, Shravya Shetty, Maarten van Smeden, Carole H. Sudre, Ronald M. Summers, Abdel A. Taha, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger:
Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR abs/2206.01653 (2022) - William Seymour, Max Van Kleek, Reuben Binns, Dave Murray-Rust:
Respect as a Lens for the Design of AI Systems. CoRR abs/2206.07555 (2022) - David Klee, Ondrej Biza, Robert Platt, Robin Walters:
I2I: Image to Icosahedral Projection for SO(3) Object Reasoning from Single-View Images. CoRR abs/2207.08925 (2022) - David Klee, Ondrej Biza, Robert Platt:
Graph-Structured Policy Learning for Multi-Goal Manipulation Tasks. CoRR abs/2207.11313 (2022) - Lars Heiliger, Zdravko Marinov, André Ferreira, Jana Fragemann, Jacob Murray, David Kersting, Rainer Stiefelhagen, Jens Kleesiek:
AutoPET Challenge: Combining nn-Unet with Swin UNETR Augmented by Maximum Intensity Projection Classifier. CoRR abs/2209.01112 (2022) - Mingxi Jia, Dian Wang, Guanang Su, David Klee, Xupeng Zhu, Robin Walters, Robert Platt:
SEIL: Simulation-augmented Equivariant Imitation Learning. CoRR abs/2211.00194 (2022) - Vikash Gupta, Barbaros Selnur Erdal, Carolina Ramirez, Ralf Floca, Laurence Jackson, Brad W. Genereaux, Sidney Bryson, Christopher P. Bridge, Jens Kleesiek, Felix Nensa, Rickmer Braren, Khaled Younis, Tobias Penzkofer, Andreas Michael Bucher, Ming Melvin Qin, Gigon Bae, M. Jorge Cardoso, Sébastien Ourselin, Eric Kerfoot, Rahul Choudhury, Richard D. White, Tessa Sundaram Cook, David Bericat, Matthew P. Lungren, Risto Haukioja, Haris Shuaib:
Current State of Community-Driven Radiological AI Deployment in Medical Imaging. CoRR abs/2212.14177 (2022) - 2021
- Petar Radanliev, David De Roure, Max Van Kleek, Omar Santos, Uchenna Ani:
Artificial intelligence in cyber physical systems. AI Soc. 36(3): 783-796 (2021) - Sarthak Pati, Ujjwal Baid, Maximilian Zenk, Brandon Edwards, Micah J. Sheller, G. Anthony Reina, Patrick Foley, Alexey Gruzdev, Jason Martin, Shadi Albarqouni, Yong Chen, Russell Taki Shinohara, Annika Reinke, David Zimmerer, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Rivka R. Colen, Aikaterini Kotrotsou, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Hassan M. Fathallah-Shaykh, Roland Wiest, András Jakab, Marc-André Weber, Abhishek Mahajan, Lena Maier-Hein, Jens Kleesiek, Bjoern H. Menze, Klaus H. Maier-Hein, Spyridon Bakas:
The Federated Tumor Segmentation (FeTS) Challenge. CoRR abs/2105.05874 (2021) - Anja K. Leist, Matthias Klee, Jung Hyun Kim, David H. Rehkopf, Stéphane P. A. Bordas, Graciela Muniz-Terrera, Sara Wade:
Machine learning in the social and health sciences. CoRR abs/2106.10716 (2021)
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