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Carola‐Bibiane Schönlieb

  1. Can Physics-Informed Neural Networks beat the Finite Element Method?
    2023/02/08 by Tamara G. Grossmann, Grossmann, Tamara G., Urszula Julia Komorowska +5 · 20 citations
    Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
  2. Conditional Image Generation with Score-Based Diffusion Models
    2021/11/26 by Georgios Batzolis, Batzolis, Georgios, Jan Stanczuk +5 · 16 citations
    Computer Science · Physics and Astronomy · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Model Reduction and Neural Networks
  3. Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation
    2021/02/08 by Michael Yeung, Yeung, Michael, Evis Sala +5 · 10 citations
    Computer Science · Medicine · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #I.4.6 #Image and Video Processing (eess.IV) #J.3 #Machine Learning (cs.LG) #Renal and Vascular Pathologies #Retinal Imaging and Analysis #electronic engineering #information engineering
  4. On the Connection Between Adversarial Robustness and Saliency Map Interpretability
    2019/05/10 by Christian Etmann, Sebastian Lunz, Etmann, Christian +5 · 9 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI)
  5. Learned reconstruction methods with convergence guarantees
    2022/06/11 by Subhadip Mukherjee, Mukherjee, Subhadip, Andreas Hauptmann +7 · 7 citations
    Engineering · Mathematics · Medicine · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medical Imaging Techniques and Applications #Numerical methods in inverse problems #Sparse and Compressive Sensing Techniques
  6. Structural connectome quantifies tumour invasion and predicts survival in glioblastoma patients
    2022/10/03 by Yiran Wei, Chao Li, Zaixu Cui +10 · 28 citations
    Medicine · #Advanced Neuroimaging Techniques and Applications #MRI in cancer diagnosis #Glioma Diagnosis and Treatment
  7. A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation
    2020/12/01 by Rihuan Ke, Ke, Rihuan, Angelica I. Avilés-Rivero +7 · 5 citations
    Computer Science · Medicine · #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
  8. Improving "Fast Iterative Shrinkage-Thresholding Algorithm": Faster, Smarter and Greedier
    2018/11/04 by Jingwei Liang, Liang, Jingwei, Tao Luo +3 · 4 citations
    Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Image and Signal Denoising Methods #Medical Image Segmentation Techniques
  9. Learned convex regularizers for inverse problems
    2020/08/06 by Subhadip Mukherjee, Sören Dittmer, Mukherjee, Subhadip +9 · 6 citations
    Engineering · Medicine · #Advanced X-ray and CT Imaging #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Imaging Techniques and Applications #Sparse and Compressive Sensing Techniques
  10. Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation
    2024/02/01 by Zakhar Shumaylov, Shumaylov, Zakhar, Jeremy Budd +5 · 8 citations
    Computer Science · Mathematics · #Advanced Optimization Algorithms Research #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical methods in inverse problems #Optimization and Control (math.OC) #Optimization and Variational Analysis
  11. Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance)
    2021/03/02 by Jan Stanczuk, Christian Etmann, Stanczuk, Jan +5 · 4 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Adversarial Robustness in Machine Learning #Advanced Neural Network Applications
  12. Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI
    2023/02/24 by Simone Saitta, Saitta, Simone, Marcello Carioni +7 · 5 citations
    Medicine · Computer Science · #Advanced MRI Techniques and Applications #Advanced Image Processing Techniques #Advanced Neuroimaging Techniques and Applications
  13. On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems
    2024/05/02 by Alessio Gravina, Moshe Eliasof, Gravina, Alessio +7 · 9 citations
    Physics and Astronomy · Computer Science · #Complex Network Analysis Techniques #Graph Theory and Algorithms
  14. DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification
    2023/03/19 by Yijun Yang, Yang, Yijun, Huazhu Fu +7 · 5 citations
    Computer Science · #Machine Learning in Healthcare #AI in cancer detection #Generative Adversarial Networks and Image Synthesis
  15. Your diffusion model secretly knows the dimension of the data manifold
    2022/12/23 by Jan Stanczuk, Stanczuk, Jan, Georgios Batzolis +4 · 4 citations
    Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods
  16. Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class Labels
    2023/03/15 by Jan Cross-Zamirski, Praveen Anand, Cross-Zamirski, Jan Oscar +9 · 4 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cell Image Analysis Techniques #Single-cell and spatial transcriptomics #AI in cancer detection
  17. End-to-end reconstruction meets data-driven regularization for inverse problems
    2021/06/07 by Subhadip Mukherjee, Marcello Carioni, Mukherjee, Subhadip +5 · 4 citations
    Earth and Planetary Sciences · Engineering · Medicine · #Advanced X-ray and CT Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Medical Imaging Techniques and Applications #Optimization and Control (math.OC) #Seismic Imaging and Inversion Techniques
  18. MambaMIR: An Arbitrary-Masked Mamba for Joint Medical Image Reconstruction and Uncertainty Estimation
    2024/02/28 by Jiahao Huang, Liutao Yang, Huang, Jiahao +13 · 4 citations
    Computer Science · Engineering · Medicine · #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 Techniques and Applications #Medical Imaging and Analysis #electronic engineering #information engineering
  19. Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations
    2021/01/20 by Tao Wei, Wei, Tao, Angelica I. Avilés-Rivero +11 · 2 citations
    Computer Science · Medicine · #AI in cancer detection #COVID-19 diagnosis using AI #Radiomics and Machine Learning in Medical Imaging
  20. HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation
    2021/06/07 by Hankui Peng, Peng, Hankui, Angelica I. Avilés-Rivero +3 · 2 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Applications (stat.AP) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #I.4 #I.5 #Image Retrieval and Classification Techniques #Machine Learning (stat.ML) #Visual Attention and Saliency Detection
  21. Mamba Neural Operator: Who Wins? Transformers vs. State-Space Models for PDEs
    2024/10/03 by Chun-Wun Cheng, Jiahao Huang, Cheng, Chun-Wun +9 · 5 citations
    Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Neural Networks and Applications #Numerical Analysis (math.NA)
  22. A generalized model for optimal transport of images including\n dissipation and density modulation
    2015/04/08 by Jan Maas, Martin Rumpf, Maas, Jan +5 · 1 citation
    Computer Science · Engineering · #35K55 #3D Shape Modeling and Analysis #65K10 #68U10 #Advanced Numerical Analysis Techniques #FOS: Mathematics #Medical Image Segmentation Techniques #Numerical Analysis (math.NA)
  23. Closing the ODE-SDE gap in score-based diffusion models through the Fokker-Planck equation
    2023/11/27 by Teo Deveney, Jan Stanczuk, Deveney, Teo +7 · 2 citations
    Computer Science · Medicine · Physics and Astronomy · #Advanced Neuroimaging Techniques and Applications #FOS: Computer and information sciences #FOS: Mathematics #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
  24. Contrastive Registration for Unsupervised Medical Image Segmentation
    2020/11/17 by Lihao Liu, Angelica I. Avilés-Rivero, Liu, Lihao +3 · 1 citation
    Computer Science · Medicine · #Medical Image Segmentation Techniques #Advanced Neural Network Applications #Radiomics and Machine Learning in Medical Imaging
  25. Focus U-Net: A novel dual attention-gated CNN for polyp segmentation\n during colonoscopy
    2021/05/16 by Michael Yeung, Evis Sala, Yeung, Michael +5 · 1 citation
    Computer Science · Medicine · #AI in cancer detection #Colorectal Cancer Screening and Detection #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #I.2.10 #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  26. Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation
    2024/04/08 by Hong Ye Tan, Ziruo Cai, Tan, Hong Ye +9 · 2 citations
    Computer Science · Engineering · Mathematics · #62C12 #62F15 #65C40 #65J22 #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Methodology (stat.ME) #Numerical methods in inverse problems #Sparse and Compressive Sensing Techniques
  27. TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation
    2022/11/17 by Zhongying Deng, Yanqi Chen, Deng, Zhongying +11 · 1 citation
    Engineering · Computer Science · #Traffic Prediction and Management Techniques #Advanced Neural Network Applications #Infrastructure Maintenance and Monitoring
  28. ViGU: Vision GNN U-Net for Fast MRI
    2023/01/23 by Jiahao Huang, Angelica I. Avilés-Rivero, Huang, Jiahao +5 · 1 citation
    Computer Science · Medicine · #Advanced Neural Network Applications #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 #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
  29. Benchmarking learned algorithms for computed tomography image reconstruction tasks
    2024/12/11 by Maximilian B. Kiss, Kiss, Maximilian B., Ander Biguri +11 · 2 citations
    Engineering · Medicine · #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) #Medical Imaging Techniques and Applications #Reservoir Engineering and Simulation Methods #electronic engineering #information engineering
  30. NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems
    2023/04/17 by Ziruo Cai, Junqi Tang, Cai, Ziruo +9 · 1 citation
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Generative Adversarial Networks and Image Synthesis #Machine Learning (stat.ML) #Medical Image Segmentation Techniques #Numerical Analysis (math.NA) #Sparse and Compressive Sensing Techniques
  31. G-Adaptivity: optimised graph-based mesh relocation for finite element methods
    2024/07/05 by James Rowbottom, Georg Maierhofer, Rowbottom, James +13 · 2 citations
    Computer Science · #Contact Mechanics and Variational Inequalities #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA)
  32. When AI Eats Itself: On the Caveats of AI Autophagy
    2024/05/15 by Xiaodan Xing, Fadong Shi, Xing, Xiaodan +20 · 1 voice · 1 citation
    Social Sciences · #Ethics and Social Impacts of AI #cs.AI #cs.LG
  33. Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation
    2024/03/14 by Lipei Zhang, Yanqi Cheng, Zhang, Lipei +7 · 1 citation
    Biochemistry, Genetics and Molecular Biology · #Cell Image Analysis Techniques #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
  34. Can Generative AI Replace Immunofluorescent Staining Processes? A Comparison Study of Synthetically Generated CellPainting Images from Brightfield
    2024/06/15 by Xiaodan Xing, Siofra Murdoch, Xing, Xiaodan +17 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #AI in cancer detection #Cell Image Analysis Techniques #FOS: Electrical engineering #Image Processing Techniques and Applications #Image and Video Processing (eess.IV) #electronic engineering #information engineering
  35. Γ-Convergence of an Ambrosio-Tortorelli approximation scheme for image segmentation
    2022/02/10 by Irene Fonseca, Fonseca, Irene, Lisa Maria Kreußer +5 · 1 citation
    Engineering · Mathematics · #Analysis of PDEs (math.AP) #FOS: Mathematics #Mathematical Approximation and Integration #Numerical Analysis (math.NA) #Numerical methods in inverse problems #Optimization and Control (math.OC) #Thermoelastic and Magnetoelastic Phenomena
  36. Score-based Pullback Riemannian Geometry: Extracting the Data Manifold Geometry using Anisotropic Flows
    2024/10/02 by Willem Diepeveen, Georgios Batzolis, Diepeveen, Willem +5 · 1 citation
    Computer Science · Engineering · Mathematics · #3D Shape Modeling and Analysis #Differential Geometry (math.DG) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Morphological variations and asymmetry #Topological and Geometric Data Analysis
  37. Adaptive Correction for Ensuring Conservation Laws in Neural Operators
    2025/05/30 by Chaoyu Liu, Liu, Chaoyu, Yangming Li +7 · 2 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
  38. NODE-Adapter: Neural Ordinary Differential Equations for Better Vision-Language Reasoning
    2024/07/11 by Yi Zhang, Chun-Wun Cheng, Zhang, Yi +9 · 1 citation
    Computer Science · Decision Sciences · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Fuzzy Logic and Control Systems #Multi-Criteria Decision Making #Multimodal Machine Learning Applications
  39. Bellman Diffusion: Generative Modeling as Learning a Linear Operator in the Distribution Space
    2024/10/02 by Yangming Li, Chieh-Hsin Lai, Li, Yangming +7 · 1 citation
    Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mathematical and Theoretical Analysis #Neural Networks and Applications #Statistical and Computational Modeling
  40. Spatiotemporal Graph Neural Network Modelling Perfusion MRI
    2024/06/10 by Ruodan Yan, Carola‐Bibiane Schönlieb, Yan, Ruodan +3 · 1 citation
    Medicine · Neuroscience · #Brain Tumor Detection and Classification #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Medical Imaging Techniques and Applications #electronic engineering #information engineering
  41. On the Utilization of Unique Node Identifiers in Graph Neural Networks
    2024/11/04 by Maya Bechler-Speicher, Bechler-Speicher, Maya, Moshe Eliasof +7 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
  42. Training Data Reconstruction: Privacy due to Uncertainty?
    2024/12/11 by Christina Runkel, Runkel, Christina, Kanchana Vaishnavi Gandikota +7 · 1 citation
    Computer Science · #Privacy-Preserving Technologies in Data
  43. Symplectic Neural Flows for Modeling and Discovery
    2024/12/21 by Priscilla Canizares, Canizares, Priscilla, Davide Murari +7 · 1 citation
    Computer Science · #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Machine Learning (cs.LG) #Neural Networks and Applications
  44. TIGRE v3: Efficient and easy to use iterative computed tomographic\n reconstruction toolbox for real datasets
    2024/12/13 by Ander Biguri, Biguri, Ander, Reuben Lindroos +24 · 2 citations
    Medicine · Engineering · Earth and Planetary Sciences · #Medical Imaging Techniques and Applications #Advanced X-ray and CT Imaging #Seismic Imaging and Inversion Techniques
  45. Inverse Evolution Data Augmentation for Neural PDE Solvers
    2025/01/24 by Chaoyu Liu, Liu, Chaoyu, Chris Budd +3 · 1 citation
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications
  46. Learning Regularization for Graph Inverse Problems
    2024/08/19 by Moshe Eliasof, Eliasof, Moshe, Md Shahriar Rahim Siddiqui +5 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning and ELM
  47. Generalized Lie Symmetries in Physics-Informed Neural Operators
    2025/02/01 by Wang, Amy Xiang, Zakhar Shumaylov, Shumaylov, Zakhar +6 · 1 citation
    Chemistry · Physics and Astronomy · Earth and Planetary Sciences · #Molecular spectroscopy and chirality #Nonlinear Waves and Solitons #Seismic Imaging and Inversion Techniques
  48. Towards Invariance to Node Identifiers in Graph Neural Networks
    2025/02/19 by Maya Bechler-Speicher, Bechler-Speicher, Maya, Moshe Eliasof +7 · 1 citation
    Computer Science · Neuroscience · #Advanced Graph Neural Networks #Brain Tumor Detection and Classification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
  49. Dynamical systems' based neural networks
    2022/10/05 by Elena Celledoni, Davide Murari, Celledoni, Elena +7 · 1 citation
    Computer Science · Physics and Astronomy · #37M15 #65L05 #65L06 #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications #Neural Networks and Reservoir Computing #Numerical Analysis (math.NA)