Search Results for author: Dimitrios Lenis

Found 10 papers, 1 papers with code

Multi-scale attention-based instance segmentation for measuring crystals with large size variation

no code implementations8 Jan 2024 Theresa Neubauer, Astrid Berg, Maria Wimmer, Dimitrios Lenis, David Major, Philip Matthias Winter, Gaia Romana De Paolis, Johannes Novotny, Daniel Lüftner, Katja Reinharter, Katja Bühler

We evaluate our method on a refractory raw material dataset of high-resolution images with large variation in crystal size and show that our model can be used to calculate the crystal size more accurately than existing methods.

Image Segmentation Instance Segmentation +2

Employing similarity to highlight differences: On the impact of anatomical assumptions in chest X-ray registration methods

no code implementations23 Jan 2023 Astrid Berg, Eva Vandersmissen, Maria Wimmer, David Major, Theresa Neubauer, Dimitrios Lenis, Jeroen Cant, Annemiek Snoeckx, Katja Bühler

To facilitate both the detection and the interpretation of findings in chest X-rays, comparison with a previous image of the same patient is very valuable to radiologists.

Anatomy Image Registration

Anomaly Detection using Generative Models and Sum-Product Networks in Mammography Scans

no code implementations12 Oct 2022 Marc Dietrichstein, David Major, Maria Wimmer, Dimitrios Lenis, Philip Winter, Astrid Berg, Theresa Neubauer, Katja Bühler

Unsupervised anomaly detection models which are trained solely by healthy data, have gained importance in the recent years, as the annotation of medical data is a tedious task.

Unsupervised Anomaly Detection

Multi-task fusion for improving mammography screening data classification

no code implementations1 Dec 2021 Maria Wimmer, Gert Sluiter, David Major, Dimitrios Lenis, Astrid Berg, Theresa Neubauer, Katja Bühler

In this work, we propose a pipeline approach, where we first train a set of individual, task-specific models and subsequently investigate the fusion thereof, which is in contrast to the standard model ensembling strategy.

Classification

Soft Tissue Sarcoma Co-Segmentation in Combined MRI and PET/CT Data

no code implementations28 Aug 2020 Theresa Neubauer, Maria Wimmer, Astrid Berg, David Major, Dimitrios Lenis, Thomas Beyer, Jelena Saponjski, Katja Bühler

Closing this gap, we develop a modalityspecific sarcoma segmentation model that utilizes multimodal image data to improve the tumor delineation on each individual modality.

Segmentation Tumor Segmentation

Domain aware medical image classifier interpretation by counterfactual impact analysis

no code implementations13 Jul 2020 Dimitrios Lenis, David Major, Maria Wimmer, Astrid Berg, Gert Sluiter, Katja Bühler

Our solution identifies salient regions of an input image in a single forward-pass by measuring the effect of local image-perturbations on a predictor's score.

counterfactual

Deep Sequential Segmentation of Organs in Volumetric Medical Scans

no code implementations6 Jul 2018 Alexey Novikov, David Major, Maria Wimmer, Dimitrios Lenis, Katja Bühler

Segmentation in 3D scans is playing an increasingly important role in current clinical practice supporting diagnosis, tissue quantification, or treatment planning.

Liver Segmentation Segmentation

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