2024

• cWDM: Conditional Wavelet Diffusion Models for Cross-Modality 3D Medical Image Synthesis (Friedrich et al., BraTS 2024)
  [ArXiv] [Code] [Models]

• 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]

2023

• 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]

2022

• 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]

2021

• 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]

2020

• DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision (Wolleb et al., MICCAI 2020)
  [Paper] [ArXiv] [Code]

• 3D Segmentation Networks for Excessive Numbers of Classes: Distinct Bone Segmentation in Upper Bodies (Schnider et al., MLMI@MICCAI 2022)
  [Paper] [ArXiv]