Tobit Klug, Kun Wang, Stefan Ruschke, Reinhard Heckel
MotionTTT: 2D Test-Time-Training Motion Estimation for 3D Motion Corrected MRI
Conference on Neural Information Processing Systems (NeurIPS)
2024

Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Gadre, Hritik Bansal, Etash Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muenninghoff, Reinhard Heckel, Jean Mercat, Mayee Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Chandu, Thao Nguyen, Igor Vasiljevic, Sham Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldani, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar
DataComp-LM: In search of the next generation of training sets for language models
Conference on Neural Information Processing Systems (NeurIPS)
2024

Youssef Mansour, Xuyang Zhong, Serdar Caglar, Reinhard Heckel
TTT-MIM: test-time training with masked image modeling for denoising distribution shifts
European Conference on Computer Vision
2024

Nature Communications
Deep Learning for Accelerated and Robust MRI Reconstruction: a Review
Magnetic Resonance Materials in Physics, Biology and Medicine
2024

Anne M Luescher, Andreas L Gimpel, Wendelin J Stark, Reinhard Heckel, Robert N Grass
Chemical unclonable functions based on operable random DNA pools
Nature Communications
2024

Andreas L Gimpel, Wendelin J Stark, Reinhard Heckel, Robert N Grass
Challenges for error-correction coding in DNA data storage: photolithographic synthesis and DNA decay
Digital Discovery
2024

Mohammad Zalbagi Darestani, Vishwesh Nath, Wenqi Li, Yufan He, Holger R Roth, Ziyue Xu, Daguang Xu, Reinhard Heckel, Can Zhao
IR-FRestormer: Iterative refinement with fourier-based restormer for accelerated MRI reconstruction
Proceedings of the IEEE/CVF winter conference on applications of computer vision
2024

Kang Lin, Reinhard Heckel
Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data
International Conference on Machine Learning (ICML)
2024

Simon Wiedemann, Reinhard Heckel
A Deep Learning Method for Simultaneous Denoising and Missing Wedge Reconstruction in Cryogenic Electron Tomography
Nature Communications
2024

Johannes F Kunz, Stefan Ruschke, Reinhard Heckel
Implicit neural networks with fourier-feature inputs for free-breathing cardiac MRI reconstruction
IEEE Transactions on Computational Imaging
2024