Search Results for author: Samaneh Abbasi-Sureshjani

Found 9 papers, 0 papers with code

Integrating multiscale topology in digital pathology with pyramidal graph convolutional networks

no code implementations22 Mar 2024 Victor Ibañez, Przemyslaw Szostak, Quincy Wong, Konstanty Korski, Samaneh Abbasi-Sureshjani, Alvaro Gomariz

The architecture's unique configuration allows for the concurrent modeling of structural patterns at lower magnifications and detailed cellular features at higher ones, while also quantifying the contribution of each magnification level to the prediction.

Multiple Instance Learning whole slide images

The Importance of Downstream Networks in Digital Pathology Foundation Models

no code implementations29 Nov 2023 Gustav Bredell, Marcel Fischer, Przemyslaw Szostak, Samaneh Abbasi-Sureshjani, Alvaro Gomariz

Digital pathology has significantly advanced disease detection and pathologist efficiency through the analysis of gigapixel whole-slide images (WSI).

Representation Learning whole slide images

A comparative study between vision transformers and CNNs in digital pathology

no code implementations1 Jun 2022 Luca Deininger, Bernhard Stimpel, Anil Yuce, Samaneh Abbasi-Sureshjani, Simon Schönenberger, Paolo Ocampo, Konstanty Korski, Fabien Gaire

Due to the sparse availability of annotated whole slide images, we further compared both models pretrained on large amounts of unlabeled whole-slide images using state-of-the-art self-supervised approaches.

Inductive Bias whole slide images

XCAT-GAN for Synthesizing 3D Consistent Labeled Cardiac MR Images on Anatomically Variable XCAT Phantoms

no code implementations27 Jul 2020 Sina Amirrajab, Samaneh Abbasi-Sureshjani, Yasmina Al Khalil, Cristian Lorenz, Juergen Weese, Josien Pluim, Marcel Breeuwer

Moreover, the improvement in utilizing synthetic images for augmenting the real data is evident through the reduction of Hausdorff distance up to 28% and an increase in the Dice score up to 5%, indicating a higher similarity to the ground truth in all dimensions.

Image Generation

Risk of Training Diagnostic Algorithms on Data with Demographic Bias

no code implementations20 May 2020 Samaneh Abbasi-Sureshjani, Ralf Raumanns, Britt E. J. Michels, Gerard Schouten, Veronika Cheplygina

Surprisingly, we found that papers focusing on diagnosis rarely describe the demographics of the datasets used, and the diagnosis is purely based on images.

Medical Image Analysis

4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model

no code implementations MIDL 2019 Samaneh Abbasi-Sureshjani, Sina Amirrajab, Cristian Lorenz, Juergen Weese, Josien Pluim, Marcel Breeuwer

Using the parameterized motion model of the XCAT heart, we generate labels for 25 time frames of the heart for one cardiac cycle at 18 locations for the short axis view.

Anatomy Generative Adversarial Network +3

Retrieving challenging vessel connections in retinal images by line co-occurrence statistics

no code implementations20 Oct 2016 Samaneh Abbasi-Sureshjani, Jiong Zhang, Remco Duits, Bart ter Haar Romeny

We propose to find line co-occurrence statistics from the centerlines of blood vessels in retinal images and show its remarkable similarity to a well-known probabilistic model for the connectivity pattern in the primary visual cortex.

Clustering

Curvature Integration in a 5D Kernel for Extracting Vessel Connections in Retinal Images

no code implementations29 Aug 2016 Samaneh Abbasi-Sureshjani, Marta Favali, Giovanna Citti, Alessandro Sarti, Bart M. ter Haar Romeny

Tree-like structures such as retinal images are widely studied in computer-aided diagnosis systems for large-scale screening programs.

Clustering

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