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Julia A. Schnabel

  1. MemBrain v2: an end-to-end tool for the analysis of membranes in cryo-electron tomography
    2024/01/05 by Lorenz Lamm, Simon Zufferey, Hanyi Zhang +12 · 1 voice · 51 citations
    Biochemistry, Genetics and Molecular Biology · Earth and Planetary Sciences · Engineering · #Advanced Electron Microscopy Techniques and Applications #Geophysical and Geoelectrical Methods #Microfluidic and Bio-sensing Technologies
  2. FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare
    2023/08/11 by Karim Lekadir, Lekadir, Karim, Aasa Feragen +214 · 27 citations
    Economics, Econometrics and Finance · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computer Vision and Pattern Recognition (cs.CV) #Computers and Society (cs.CY) #Ethics in Clinical Research #FOS: Computer and information sciences #Health Systems, Economic Evaluations, Quality of Life #I.2.0 #I.4.0 #I.5.0 #Machine Learning (cs.LG)
  3. Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models
    2023/05/31 by Cosmin I. Bercea, Bercea, Cosmin I., Michael Neumayr +5 · 13 citations
    Computer Science · Mathematics · #Machine Learning in Healthcare #Generative Adversarial Networks and Image Synthesis #Statistical Methods and Inference
  4. Diffusion Models with Implicit Guidance for Medical Anomaly Detection
    2024/03/13 by Cosmin I. Bercea, Bercea, Cosmin I., Benedikt Wiestler +5 · 17 citations
    Computer Science · #Anomaly Detection Techniques and Applications #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
  5. Medical Image Analysis on Left Atrial LGE MRI for Atrial Fibrillation Studies: A Review
    2021/06/18 by Lei Li, Li, Lei, Veronika A. Zimmer +5 · 6 citations
    Medicine · #Atrial Fibrillation Management and Outcomes #Cardiac Arrhythmias and Treatments #Cardiac Imaging and Diagnostics #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  6. Is MC Dropout Bayesian?
    2021/10/08 by Loïc Le Folgoc, Folgoc, Loic Le, Vasileios Baltatzis +17 · 6 citations
    Computer Science · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
  7. DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology
    2024/04/07 by Valentin Koch, Koch, Valentin, Sophia J. Wagner +13 · 9 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #Computer Vision and Pattern Recognition (cs.CV) #Digital Imaging for Blood Diseases #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mathematical Biology Tumor Growth #Single-cell and spatial transcriptomics
  8. AtrialJSQnet: A New Framework for Joint Segmentation and Quantification of Left Atrium and Scars Incorporating Spatial and Shape Information
    2020/08/11 by Lei Li, Li, Lei, Veronika A. Zimmer +5 · 5 citations
    Medicine · #Advanced MRI Techniques and Applications #Cardiac Valve Diseases and Treatments #Atrial Fibrillation Management and Outcomes
  9. Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations
    2024/07/17 by Tomáš Chobola, Yu Liu, Chobola, Tomáš +7 · 7 citations
    Computer Science · #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Enhancement Techniques #Image and Signal Denoising Methods
  10. FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
    2025/02/05 by Karim Lekadir, Alejandro F. Frangi, Antonio R. Porras +46 · 1 voice · 11 citations
    Medicine · Health Professions · #Artificial Intelligence in Healthcare and Education #Ethics in Clinical Research #Artificial Intelligence in Healthcare
  11. What do we learn? Debunking the Myth of Unsupervised Outlier Detection
    2022/06/08 by Cosmin I. Bercea, Daniel Rueckert, Bercea, Cosmin I. +3 · 3 citations
    Computer Science · Medicine · #AI in cancer detection #Anomaly Detection Techniques and Applications #COVID-19 diagnosis using AI #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
  12. Automatic CNN-based detection of cardiac MR motion artefacts using\n k-space data augmentation and curriculum learning
    2018/10/29 by İlkay Öksüz, Oksuz, Ilkay, Bram Ruijsink +19 · 2 citations
    Engineering · Medicine · #Advanced X-ray and CT Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Imaging Techniques and Applications #Radiomics and Machine Learning in Medical Imaging
  13. AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-Center LGE MRIs
    2021/06/16 by Lei Li, Veronika A. Zimmer, Li, Lei +5 · 2 citations
    Medicine · #Advanced MRI Techniques and Applications #Atrial Fibrillation Management and Outcomes #Cardiac Valve Diseases and Treatments #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
  14. MedEdit: Counterfactual Diffusion-based Image Editing on Brain MRI
    2024/07/21 by Malek Ben Alaya, Alaya, Malek Ben, Daniel M. Lang +7 · 4 citations
    Computer Science · Medicine · Neuroscience · #Brain Tumor Detection and Classification #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Image and Video Processing (eess.IV) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  15. Subspace Implicit Neural Representations for Real-Time Cardiac Cine MR Imaging
    2024/12/17 by Wenqi Huang, Veronika Spieker, Huang, Wenqi +17 · 1 voice · 5 citations
    Computer Science · Engineering · Medicine · #Advanced MRI Techniques and Applications #cs.AI #cs.LG #eess.IV
  16. A skeletonization algorithm for gradient-based optimization
    2023/09/05 by Martin J. Menten, Johannes C. Paetzold, Menten, Martin J. +15 · 3 citations
    Computer Science · Engineering · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques #Medical Imaging and Analysis
  17. PISCO: Self-Supervised k-Space Regularization for Improved Neural Implicit k-Space Representations of Dynamic MRI
    2025/01/16 by Veronika Spieker, Spieker, Veronika, Hannah Eichhorn +21 · 4 citations
    Medicine · Computer Science · #Medical Imaging Techniques and Applications #Neural Networks and Applications #Advanced MRI Techniques and Applications
  18. Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection
    2023/03/15 by Cosmin I. Bercea, Benedikt Wiestler, Bercea, Cosmin I +5 · 2 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning in Healthcare #electronic engineering #information engineering
  19. Diffusion Models for Unsupervised Anomaly Detection in Fetal Brain Ultrasound
    2024/07/21 by Hanna Mykula, L. Gasser, Mykula, Hanna +9 · 3 citations
    Computer Science · #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Speech Recognition and Synthesis #electronic engineering #information engineering
  20. Fréchet Radiomic Distance (FRD): A Versatile Metric for Comparing Medical Imaging Datasets
    2024/12/02 by Nicholas Konz, Richard Osuala, Konz, Nicholas +35 · 1 voice · 4 citations
    Computer Science · Engineering · Mathematics · #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) #cs.CV #cs.LG #eess.IV #electronic engineering #information engineering #stat.ML
  21. Towards Universal Unsupervised Anomaly Detection in Medical Imaging
    2024/01/19 by Cosmin I. Bercea, Benedikt Wiestler, Bercea, Cosmin I. +5 · 2 citations
    Computer Science · Medicine · #Advanced Neural Network Applications #Anomaly Detection Techniques and Applications #COVID-19 diagnosis using AI #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
  22. Bias in Unsupervised Anomaly Detection in Brain MRI
    2023/08/26 by Cosmin I. Bercea, Esther Puyol‐Antón, Bercea, Cosmin I. +9 · 2 citations
    Computer Science · Medicine · #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning #SARS-CoV-2 detection and testing
  23. Denoising Diffusion Models for Anomaly Localization in Medical Images
    2024/10/31 by Cosmin I. Bercea, Philippe C. Cattin, Bercea, Cosmin I. +5 · 1 voice · 2 citations
    Computer Science · #Anomaly Detection Techniques and Applications #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
  24. ICoNIK: Generating Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit Representations in k-Space
    2023/08/17 by Veronika Spieker, Wenqi Huang, Spieker, Veronika +17 · 2 citations
    Medicine · #Advanced MRI Techniques and Applications #Advanced Neuroimaging Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Medical Physics (physics.med-ph) #Radiomics and Machine Learning in Medical Imaging #Signal Processing (eess.SP) #electronic engineering #information engineering
  25. The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images
    2021/09/22 by Devran Uğurlu, Esther Puyol‐Antón, Ugurlu, Devran +13 · 1 citation
    Medicine · #Cardiac Imaging and Diagnostics #Cardiac Valve Diseases and Treatments #Cardiovascular Function and Risk Factors #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
  26. Complex-valued Federated Learning with Differential Privacy and MRI Applications
    2021/10/07 by Anneliese Riess, Riess, Anneliese, Alexander Ziller +9 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  27. C-DCGAN Model for Mammogram MASS Patch Generation Conditioned on Biopsy Proven Malignancy Status (Trained on CBIS-DDSM)
    2022/06/15 by Richard Osuala, Daniel M. Lang, Osuala, Richard +15 · 1 citation
    Computer Science · #AI in cancer detection #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  28. Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-View
    2022/06/29 by Veronika A. Zimmer, Alberto Gómez, Zimmer, Veronika A. +23 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Medicine · #Cleft Lip and Palate Research #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Fetal and Pediatric Neurological Disorders #Image and Video Processing (eess.IV) #Prenatal Screening and Diagnostics #electronic engineering #information engineering
  29. Screen Tracking for Clinical Translation of Live Ultrasound Image\n Analysis Methods
    2020/07/13 by Simona Treivase, Alberto Gómez, Treivase, Simona +9 · 1 citation
    Computer Science · Engineering · Medicine · #68T45 #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Image Processing Techniques and Applications #Medical Image Segmentation Techniques
  30. Evaluation of 3D GANs for Lung Tissue Modelling in Pulmonary CT
    2022/08/17 by Sam Ellis, Octavio E. Martinez Manzanera, Ellis, Sam +15 · 1 citation
    Medicine · #COVID-19 diagnosis using AI #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Lung Cancer Diagnosis and Treatment #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  31. Language Models Meet Anomaly Detection for Better Interpretability and Generalizability
    2024/04/11 by Jun Li, Li, Jun, Philip Müller +12 · 2 citations
    Computer Science · Medicine · #Anomaly Detection Techniques and Applications #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Viral Infections and Outbreaks Research
  32. NOVA: A Benchmark for Anomaly Localization and Clinical Reasoning in Brain MRI
    2025/05/20 by Cosmin I. Bercea, Jun Li, Bercea, Cosmin I. +29 · 1 voice · 3 citations
    Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #cs.AI #cs.CV #cs.LG #eess.IV #electronic engineering #information engineering
  33. 3D Masked Autoencoders with Application to Anomaly Detection in Non-Contrast Enhanced Breast MRI
    2023/03/10 by Daniel M. Lang, Lang, Daniel M., Eli Schwartz +7 · 1 citation
    Computer Science · Medicine · #AI in cancer detection #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Medical Imaging Techniques and Applications #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  34. Learning Physics-Inspired Regularization for Medical Image Registration with Hypernetworks
    2023/11/14 by Anna Reithmeir, Julia A. Schnabel, Reithmeir, Anna +3 · 1 citation
    Computer Science · Engineering · Medicine · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Medical Image Segmentation Techniques #Medical Imaging and Analysis #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  35. Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks
    2024/07/10 by Stefan M. Fischer, Fischer, Stefan M., Lina Felsner +11 · 2 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning and Data Classification
  36. Unsupervised Analysis of Alzheimer's Disease Signatures using 3D Deformable Autoencoders
    2024/07/04 by Mehmet Yigit Avci, Emily Chan, Avci, Mehmet Yigit +11 · 1 citation
    Computer Science · #AI in cancer detection #Artificial Intelligence (cs.AI) #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
  37. Learning to Match 2D Keypoints Across Preoperative MR and Intraoperative Ultrasound
    2024/09/12 by Hassan Rasheed, Rasheed, Hassan, Reuben Dorent +15 · 2 citations
    Medicine · #Colorectal Cancer Screening and Detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Radiomics and Machine Learning in Medical Imaging #Surgical Simulation and Training
  38. General Vision Encoder Features as Guidance in Medical Image Registration
    2024/07/18 by Fryderyk Kögl, Anna Reithmeir, Kögl, Fryderyk +13 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques
  39. dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance
    2019/09/24 by Jo Schlemper, Schlemper, Jo, İlkay Öksüz +13 · 1 citation
    Computer Science · #Context-Aware Activity Recognition Systems #Embedded Systems Design Techniques #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel Computing and Optimization Techniques #electronic engineering #information engineering
  40. Dense Temporal Contrast Synthesis via Conditioned Latent Transport
    2026/07/31 by Smriti Joshi, Apostolia Tsirikoglou, Daniel M. Lang +15
    Computer Science · #cs.CV #cs.AI