Petersen, Jens

1. nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation
   2018/09/27 by Fabian Isensee, Isensee, Fabian, Jens Petersen +19 · 39 citations
   Computer Science · Medicine · Neuroscience · #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Brain Tumor Detection and Classification
2. MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
   2023/03/17 by Roy, Saikat, Koehler, Gregor, Ulrich, Constantin +5 · 43 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
3. Unsupervised Anomaly Localization using Variational Auto-Encoders
   2019/07/04 by Zimmerer, David, Isensee, Fabian, Petersen, Jens +2 · 9 citations
   #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #electronic engineering #information engineering
4. Common Limitations of Image Processing Metrics:A Picture Story
   2021/04/12 by Annika Reinke, Reinke, Annika, Minu D. Tizabi +124 · 8 citations
   Computer Science · Medicine · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image Retrieval and Classification Techniques #Image and Video Processing (eess.IV) #Medical Image Segmentation Techniques #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
5. Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection
   2018/12/14 by Zimmerer, David, Kohl, Simon A. A., Petersen, Jens +2 · 5 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. A Residual Diffusion Model for High Perceptual Quality Codec Augmentation
   2023/01/13 by Noor Fathima Goose, Ghouse, Noor Fathima, Jens Petersen +7 · 7 citations
   Computer Science · #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Image and Signal Denoising Methods #Image and Video Processing (eess.IV) #electronic engineering #information engineering
7. Interpreting Latent Spaces of Generative Models for Medical Images using Unsupervised Methods
   2022/07/20 by Schön, Julian, Selvan, Raghavendra, Petersen, Jens · 2 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
8. Segmentation of Roots in Soil with U-Net
   2019/02/28 by Smith, Abraham George, Petersen, Jens, Selvan, Raghavendra +1 · 1 citation
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
9. Clockwork Diffusion: Efficient Generation With Model-Step Distillation
   2023/12/13 by Amirhossein Habibian, Amir Ghodrati, Habibian, Amirhossein +11 · 2 citations
   Computer Science · Medicine · #Advanced Neuroimaging Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis
10. Deep Probabilistic Modeling of Glioma Growth
    2019/07/09 by Petersen, Jens, Jäger, Paul F., Isensee, Fabian +8 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
11. High- and Low-level image component decomposition using VAEs for improved reconstruction and anomaly detection
    2019/11/27 by Zimmerer, David, Petersen, Jens, Maier-Hein, Klaus · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #electronic engineering #information engineering
12. Continuous-Time Deep Glioma Growth Models
    2021/06/23 by Petersen, Jens, Isensee, Fabian, Köhler, Gregor +9 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering