Julia Wolleb
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View article: Evaluating Online Medical Information Quality in Colon Surgery Using Pre-Tuned Large Language Models. (Preprint)
Evaluating Online Medical Information Quality in Colon Surgery Using Pre-Tuned Large Language Models. (Preprint) Open
BACKGROUND Online medical information in colon surgery, particularly in robotic-assisted procedures, is frequently inconsistent, outdated, or misleading, which can hinder patient education and informed decision-making. Large Language Mode…
View article: Pancreatic Resectability Evaluation Through Deep Imaging With Computed Tomography in Pancreatic Cancer (PREDICT-PanC).
Pancreatic Resectability Evaluation Through Deep Imaging With Computed Tomography in Pancreatic Cancer (PREDICT-PanC). Open
Background Pancreatic ductal adenocarcinoma (PDAC) has the highest mortality rate among solid malignancies worldwide, with surgical resection as the only curative treatment. The assessment of PDAC resectability, which depends on the accura…
View article: A Comparative Study of CT Perfusion Postprocessing Tools in Medium/Distal Vessel Occlusion Stroke
A Comparative Study of CT Perfusion Postprocessing Tools in Medium/Distal Vessel Occlusion Stroke Open
Despite being in daily use, commercially available postprocessing tools for CTP provide discrepant results in patients with MDVO.
View article: Estimating the hole surface area of insecticide-treated nets using image analysis, manual hole counting and exact hole measurements
Estimating the hole surface area of insecticide-treated nets using image analysis, manual hole counting and exact hole measurements Open
Images coupled with manual segmentation contain sufficient information to calculate hole surface area. This lays the groundwork for incorporating automatic hole detection, and then assessing whether this method will offer a fast and object…
View article: Heart-retina time analysis using electrocardiogram-coupled time-resolved dynamic optical coherence tomography
Heart-retina time analysis using electrocardiogram-coupled time-resolved dynamic optical coherence tomography Open
The eye and the heart are two closely interlinked organs, and many diseases affecting the cardiovascular system manifest in the eye. To contribute to the understanding of blood flow propagation towards the retina, we developed a method to …
View article: Predicting Anatomical Brain Tumor Growth by Guided Denoising Diffusion Models
Predicting Anatomical Brain Tumor Growth by Guided Denoising Diffusion Models Open
View article: cWDM: Conditional Wavelet Diffusion Models for Cross-Modality 3D Medical Image Synthesis
cWDM: Conditional Wavelet Diffusion Models for Cross-Modality 3D Medical Image Synthesis Open
This paper contributes to the "BraTS 2024 Brain MR Image Synthesis Challenge" and presents a conditional Wavelet Diffusion Model (cWDM) for directly solving a paired image-to-image translation task on high-resolution volumes. While deep le…
View article: Denoising Diffusion Models for Anomaly Localization in Medical Images
Denoising Diffusion Models for Anomaly Localization in Medical Images Open
This chapter explores anomaly localization in medical images using denoising diffusion models. After providing a brief methodological background of these models, including their application to image reconstruction and their conditioning us…
View article: Estimating the hole surface area of insecticide-treated nets using image analysis, manual hole counting and exact hole measurements
Estimating the hole surface area of insecticide-treated nets using image analysis, manual hole counting and exact hole measurements Open
Background The physical integrity of insecticidal-treated nets (ITNs) is important for creating a barrier against host-seeking mosquitoes, and therefore influences people's perception of the net's effectiveness and their willingness to use…
View article: Modeling the Neonatal Brain Development Using Implicit Neural Representations
Modeling the Neonatal Brain Development Using Implicit Neural Representations Open
The human brain undergoes rapid development during the third trimester of pregnancy. In this work, we model the neonatal development of the infant brain in this age range. As a basis, we use MR images of preterm- and term-birth neonates fr…
View article: Heart-retina time analysis using electrocardiogram-coupled time-resolved dynamic optical coherence tomography
Heart-retina time analysis using electrocardiogram-coupled time-resolved dynamic optical coherence tomography Open
The eye and the heart are two closely interlinked organs, and many diseases affecting the cardiovascular system manifest in the eye. To contribute to the understanding of blood flow propagation towards the retina, we developed a method to …
View article: Development of predictive model for predicting postoperative BMI and optimize bariatric surgery: a single center pilot study
Development of predictive model for predicting postoperative BMI and optimize bariatric surgery: a single center pilot study Open
This study highlights the potential of ML to significantly improve bariatric surgical outcomes and overall healthcare efficiency through precise BMI predictions and personalized intervention strategies.
View article: Machine learning-based preoperative analytics for the prediction of anastomotic leakage in colorectal surgery: a swiss pilot study
Machine learning-based preoperative analytics for the prediction of anastomotic leakage in colorectal surgery: a swiss pilot study Open
Background Anastomotic leakage (AL), a severe complication following colorectal surgery, arises from defects at the anastomosis site. This study evaluates the feasibility of predicting AL using machine learning (ML) algorithms based on pre…
View article: Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting
Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting Open
Monitoring diseases that affect the brain's structural integrity requires automated analysis of magnetic resonance (MR) images, e.g., for the evaluation of volumetric changes. However, many of the evaluation tools are optimized for analyzi…
View article: Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection
Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection Open
The high performance of denoising diffusion models for image generation has paved the way for their application in unsupervised medical anomaly detection. As diffusion-based methods require a lot of GPU memory and have long sampling times,…
View article: WDM: 3D Wavelet Diffusion Models for High-Resolution Medical Image Synthesis
WDM: 3D Wavelet Diffusion Models for High-Resolution Medical Image Synthesis Open
Due to the three-dimensional nature of CT- or MR-scans, generative modeling of medical images is a particularly challenging task. Existing approaches mostly apply patch-wise, slice-wise, or cascaded generation techniques to fit the high-di…
View article: Denoising Diffusion Models for Inpainting of Healthy Brain Tissue
Denoising Diffusion Models for Inpainting of Healthy Brain Tissue Open
This paper is a contribution to the "BraTS 2023 Local Synthesis of Healthy Brain Tissue via Inpainting Challenge". The task of this challenge is to transform tumor tissue into healthy tissue in brain magnetic resonance (MR) images. This id…
View article: Generative AI for Medical Imaging: extending the MONAI Framework
Generative AI for Medical Imaging: extending the MONAI Framework Open
Recent advances in generative AI have brought incredible breakthroughs in several areas, including medical imaging. These generative models have tremendous potential not only to help safely share medical data via synthetic datasets but als…
View article: Improved distinct bone segmentation in upper-body CT through multi-resolution networks
Improved distinct bone segmentation in upper-body CT through multi-resolution networks Open
Purpose Automated distinct bone segmentation from CT scans is widely used in planning and navigation workflows. U-Net variants are known to provide excellent results in supervised semantic segmentation. However, in distinct bone segmentati…
View article: Memory-Efficient 3D Denoising Diffusion Models for Medical Image Processing
Memory-Efficient 3D Denoising Diffusion Models for Medical Image Processing Open
Denoising diffusion models have recently achieved state-of-the-art performance in many image-generation tasks. They do, however, require a large amount of computational resources. This limits their application to medical tasks, where we of…
View article: Diffusion Models for Contrast Harmonization of Magnetic Resonance Images
Diffusion Models for Contrast Harmonization of Magnetic Resonance Images Open
Magnetic resonance (MR) images from multiple sources often show differences in image contrast related to acquisition settings or the used scanner type. For long-term studies, longitudinal comparability is essential but can be impaired by t…
View article: Point Cloud Diffusion Models for Automatic Implant Generation
Point Cloud Diffusion Models for Automatic Implant Generation Open
Advances in 3D printing of biocompatible materials make patient-specific implants increasingly popular. The design of these implants is, however, still a tedious and largely manual process. Existing approaches to automate implant generatio…
View article: Improved distinct bone segmentation in upper-body CT through multi-resolution networks
Improved distinct bone segmentation in upper-body CT through multi-resolution networks Open
Purpose: Automated distinct bone segmentation from CT scans is widely used in planning and navigation workflows. U-Net variants are known to provide excellent results in supervised semantic segmentation. However, in distinct bone segmentat…
View article: Position Regression for Unsupervised Anomaly Detection
Position Regression for Unsupervised Anomaly Detection Open
In recent years, anomaly detection has become an essential field in medical image analysis. Most current anomaly detection methods for medical images are based on image reconstruction. In this work, we propose a novel anomaly detection app…
View article: Training of Denoising Diffusion Models for Prediction of real-time Growth of Primary and Recurrent Gliomas
Training of Denoising Diffusion Models for Prediction of real-time Growth of Primary and Recurrent Gliomas Open
View article: The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models
The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models Open
Recently, diffusion models were applied to a wide range of image analysis tasks. We build on a method for image-to-image translation using denoising diffusion implicit models and include a regression problem and a segmentation problem for …
View article: Diffusion Models for Medical Anomaly Detection
Diffusion Models for Medical Anomaly Detection Open
In medical applications, weakly supervised anomaly detection methods are of great interest, as only image-level annotations are required for training. Current anomaly detection methods mainly rely on generative adversarial networks or auto…
View article: Diffusion Models for Implicit Image Segmentation Ensembles
Diffusion Models for Implicit Image Segmentation Ensembles Open
Diffusion models have shown impressive performance for generative modelling of images. In this paper, we present a novel semantic segmentation method based on diffusion models. By modifying the training and sampling scheme, we show that di…
View article: Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis
Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis Open
The limited availability of large image datasets, mainly due to data privacy and differences in acquisition protocols or hardware, is a significant issue in the development of accurate and generalizable machine learning methods in medicine…
View article: DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision
DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision Open