This is the official github organization of the Center for medical Image Analysis & Navigation of the University of Basel.
- Generating 3D Pseudo-Healthy Knee MR Images to Support Trochleoplasty Planning (Wehrli et al., IPCAI 2025)
[Project page] [ArXiv] [Code]
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cWDM: Conditional Wavelet Diffusion Models for Cross-Modality 3D Medical Image Synthesis (Friedrich et al., BraTS 2024)
[ArXiv] [Code] [Models] -
Deep Generative Models for 3D Medical Image Synthesis (Friedrich et al., arXiv 2024)
[ArXiv] -
Development of predictive model for predicting postoperative BMI and optimize bariatric surgery: a single center pilot study (Ochs et al., SOARD 2024)
[Paper] -
Time-resolved dynamic optical coherence tomography for retinal blood flow analysis (Valmaggia et al., IOVS 2024)
[Paper] -
Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting (Durrer et al., DGM4MICCAI 2024)
[ArXiv] [Code] -
Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection (Wolleb et al., MICCAI 2024)
[ArXiv] [Code] -
WDM: 3D Wavelet Diffusion Models for High-Resolution Medical Image Synthesis (Friedrich et al., DGM4MICCAI 2024)
[Project page] [ArXiv] [Code] [Models] -
Denoising Diffusion Models for Inpainting of Healthy Brain Tissue (Durrer et al., 2024)
[ArXiv] -
Modeling the Neonatal Brain Development Using Implicit Neural Representations (Bieder et al., PRIME @ MICCAI 2024)
[Project page] [ArXiv] [Code] -
An Analysis of Virtual Reality in Abdominal Surgery - A Scoping Review (Ochs et al., Int. J. Med. Robot. Comput. Assist. Surg 2024)
[Paper] -
Deep Learning-Based Approach for High Spatial Resolution Fibre Shape Sensing (Manavi Roodsari et al., Comms. Eng. 2024)
[Paper] -
Augmented Reality for Sentinel Lymph Node Biopsy (von Niederhäusern et al., IJCARS 2024)
[Paper]
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Point Cloud Diffusion Models for Automatic Implant Generation (Friedrich et al., MICCAI 2023)
[Project page] [Paper] [ArXiv] [Code] -
Memory-Efficient 3D Denoising Diffusion Models for Medical Image Processing (Bieder et al., MIDL 2023)
[Project page] [Paper] [ArXiv] [Code] -
Diffusion Models for Contrast Harmonization of Magnetic Resonance Images (Durrer et al., MIDL 2023)
[Project page] [Paper] [ArXiv] [Code] -
Improved Distinct Bone Segmentation in Upper-Body CT Through Multi-Resolution Networks (Schnider et al., CARS 2023)
[Paper] [ArXiv] [Code] -
Augmented Reality for Sentinel Lymph Node Biopsy (von Niederhäusern et al., CARS 2023)
[Paper] -
Automatic Patient Positioning Based on Robot Rotational Workspace for Extended Reality (Zelechowski et al., CARS 2023)
[Paper] -
Shape Sensing of Optical Fiber Bragg Gratings Based on Deep Learning (Manavi Roodsari et al., MLST 2023)
[Paper] -
Development and Validation of a Predictive Model of the Hospital Cost Associated with Bariatric Surgery (Ochs et al., ORCP 2023)
[Paper] -
Analysis of Retinal Blood Flow Dynamics with Time-Resolved Structural Optical Coherence Tomography (Valmaggia et al., IOVS 2023)
[Paper]
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Diffusion Models for Medical Anomaly Detection (Wolleb et al., MICCAI 2022)
[Paper] [ArXiv] [Code] -
Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis (Wolleb et al., MICCAI 2022)
[Paper] [ArXiv] [Code] -
Position Regression for Unsupervised Anomaly Detection (Bieder et al. MIDL 2022)
[Paper] [ArXiv] [Code] -
Diffusion Models for Implicit Image Segmentation Ensembles (Wolleb et al., MIDL 2022)
[Paper] [ArXiv] [Code] -
Improved Distinct Bone Segmentation from Upper-Body CT using Binary-Prediction-Enhanced Multi-Class Inference (Schnider et al., CARS 2022)
[Paper] [Code] -
Feasibility of Automated Segmentation of Pigmented Choroidal Lesions in OCT Data With Deep Learning (Valmaggia et al., TVST 2022)
[Paper] -
Bone Ablation Depth Estimation From Er:YAG Laser-Generated Acoustic Waves (Seppi et al., IEEE Access 2022)
[Paper] -
Fabrication and Characterization of a Flexible FBG-Based Shape Sensor Using Single-Mode Fibers (Manavi Roodsari et al., IEEE. Trans. Biomed. Eng. 2022)
[Paper] -
The Secret Role of Undesired Physical Effects in Accurate Shape Sensing with Eccentric FBGs (Manavi Roodsari et al., 2022)
[ArXiv] -
Using Supervised Deep-Learning to Model Edge-FBG Shape Sensors (Manavi Roodsari et al., 2022)
[ArXiv] -
The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models (Wolleb et al., 2022)
[ArXiv] -
Ensemble Uncertainty as a Criterion for Dataset Expansion in Distinct Bone Segmentation from Upper-Body CT Images (Schnider et al., 2022)
[ArXiv]
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Transfer-Function-Independent Acceleration Structure for Volume Rendering in Virtual Reality (Faludi et al., HPG 2021)
[Paper] -
Volume Rendering-Based Patient Registration for Extended Reality (Zelechowski et al., MESROB 2021)
[Paper] -
Deep-Learning Approach for Tissue Classification Using Acoustic Waves During Ablation With an Er:YAG Laser (Seppi et al., IEEE Access 2021)
[Paper] -
Using Supervised Deep-Learning to Model Edge-FBG Shape Sensors: A Feasibility Study (Manavi Roodsari et al., SPIE Optics + Optoelectronics 2021)
[Paper] -
Comparison of Methods Generalizing Max- and Average-Pooling (Bieder et al., 2021)
[ArXiv]
