Tarroni, Giacomo
- Realistic Adversarial Data Augmentation for MR Image Segmentation
2020/06/23 by Chen, Chen, Qin, Chen, Qiu, Huaqi +6 · 5 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
- Anomaly detection through latent space restoration using\n vector-quantized variational autoencoders
2020/12/12 by Sergio Naval Marimont, Marimont, Sergio Naval, Giacomo Tarroni +1 · 5 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Anomaly Detection Techniques and Applications #Cell Image Analysis Techniques #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) #electronic engineering #information engineering
- Explainable Anatomical Shape Analysis through Deep Hierarchical\n Generative Models
2019/06/28 by Carlo Alberto Biffi, Biffi, Carlo, Juan J. Cerrolaza +27 · 3 citations
Computer Science · Engineering · #AI in cancer detection #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 Image Segmentation Techniques #Medical Imaging and Analysis #electronic engineering #information engineering
- Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection
2024/07/09 by Sergio Naval Marimont, Vasilis Siomos, Marimont, Sergio Naval +9 · 5 citations
Computer Science · #Anomaly Detection Techniques and Applications
- Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation
2021/08/07 by Chen Chen, Chen Qin, Chen, Chen +17 · 3 citations
Computer Science · Medicine · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Radiomics and Machine Learning in Medical Imaging
- Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling
2018/07/18 by Biffi, Carlo, Oktay, Ozan, Tarroni, Giacomo +9 · 2 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- 3D High-Resolution Cardiac Segmentation Reconstruction from 2D Views\n using Conditional Variational Autoencoders
2019/02/28 by Carlo Biffi, Biffi, Carlo, Juan J. Cerrolaza +11 · 2 citations
Medicine · #Radiomics and Machine Learning in Medical Imaging #Cardiac Valve Diseases and Treatments #Advanced MRI Techniques and Applications
- Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction
2019/07/05 by Wenjia Bai, Chen Chen, Bai, Wenjia +15 · 3 citations
Computer Science · Medicine · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques #Radiomics and Machine Learning in Medical Imaging
- Recurrent neural networks for aortic image sequence segmentation with sparse annotations
2018/08/01 by Bai, Wenjia, Suzuki, Hideaki, Qin, Chen +4 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- A Comprehensive Approach for Learning-based Fully-Automated Inter-slice\n Motion Correction for Short-Axis Cine Cardiac MR Image Stacks
2018/10/03 by Giacomo Tarroni, Tarroni, Giacomo, Ozan Oktay +17 · 1 citation
Computer Science · Medicine · #Advanced MRI Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques #Medical Imaging Techniques and Applications #Radiomics and Machine Learning in Medical Imaging
- DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly Detection
2023/11/26 by Sergio Naval Marimont, Matthew Baugh, Marimont, Sergio Naval +9 · 2 citations
Computer Science · #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 in Healthcare #electronic engineering #information engineering
- Implicit field learning for unsupervised anomaly detection in medical images
2021/06/09 by Marimont, Sergio Naval, Tarroni, Giacomo · 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
- Implicit U-Net for volumetric medical image segmentation
2022/06/30 by Marimont, Sergio Naval, Tarroni, Giacomo · 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
- Learning under Distributed Weak Supervision
2016/06/03 by Martin Rajchl, Rajchl, Martin, Matthew Chung Hai Lee +17 · 1 citation
Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Fetal and Pediatric Neurological Disorders