Pattern recognition in large electrical motors. - Samaneh Abbasi-Sureshjani; Maher Kayal (ISIE, 2014)

Robust and Fast Vessel Segmentation via Gaussian Derivatives in Orientation Scores. - Jiong Zhang; Erik J. Bekkers; Samaneh Abbasi-Sureshjani; Behdad Dashtbozorg; Bart M. ter Haar Romeny (ICIAP (1), 2015)

Biologically-Inspired Supervised Vasculature Segmentation in SLO Retinal Fundus Images. - Samaneh Abbasi-Sureshjani; Iris Smit-Ockeloen; Jiong Zhang; Bart M. ter Haar Romeny (ICIAR, 2015)

Automatic detection of vascular bifurcations and crossings in retinal images using orientation scores. - Samaneh Abbasi-Sureshjani; Iris Smit-Ockeloen; Erik J. Bekkers; Behdad Dashtbozorg; Bart M. ter Haar Romeny (ISBI, 2016)

Cortically-Inspired Spectral Clustering for Connectivity Analysis in Retinal Images: Curvature Integration. - Samaneh Abbasi-Sureshjani; Marta Favali; Giovanna Citti; Alessandro Sarti; Bart M. ter Haar Romeny (CoRR, 2016)

Analysis of Vessel Connectivities in Retinal Images by Cortically Inspired Spectral Clustering. - Marta Favali; Samaneh Abbasi-Sureshjani; Bart M. ter Haar Romeny; Alessandro Sarti (J. Math. Imaging Vis., 2016)

Brain-inspired algorithms for retinal image analysis. - Bart M. ter Haar Romeny; Erik J. Bekkers; Jiong Zhang; Samaneh Abbasi-Sureshjani; Fan Huang; Remco Duits; Behdad Dashtbozorg; Tos Berendschot; Iris Smit-Ockeloen; Koen A. J. Eppenhof; Jinghan Feng; Julius Hannink; et al. (Mach. Vis. Appl., 2016)

Retinal health information and notification system (RHINO). - Behdad Dashtbozorg; Jiong Zhang; Samaneh Abbasi-Sureshjani; Fan Huang; Bart M. ter Haar Romeny (Computer-Aided Diagnosis, 2017)

Boosted Exudate Segmentation in Retinal Images Using Residual Nets. - Samaneh Abbasi-Sureshjani; Behdad Dashtbozorg; Bart M. ter Haar Romeny; François Fleuret (FIFI/OMIA@MICCAI, 2017)

Retrieving challenging vessel connections in retinal images by line co-occurrence statistics. - Samaneh Abbasi-Sureshjani; Jiong Zhang; Remco Duits; Bart M. ter Haar Romeny (Biol. Cybern., 2017)

Curvature Integration in a 5D Kernel for Extracting Vessel Connections in Retinal Images. - Samaneh Abbasi-Sureshjani; Marta Favali; Giovanna Citti; Alessandro Sarti; Bart M. ter Haar Romeny (IEEE Trans. Image Process., 2018)

Risk of Training Diagnostic Algorithms on Data with Demographic Bias. - Samaneh Abbasi-Sureshjani; Ralf Raumanns; Britt E. J. Michels; Gerard Schouten; Veronika Cheplygina (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

XCAT-GAN for Synthesizing 3D Consistent Labeled Cardiac MR Images on Anatomically Variable XCAT Phantoms. - Sina Amirrajab; Samaneh Abbasi-Sureshjani; Yasmina Al Khalil; Cristian Lorenz; Jürgen Weese; Josien P. W. Pluim; Marcel Breeuwer (MICCAI (4), 2020)

Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing. - Jaime S. Cardoso 001; Hien Van Nguyen; Nicholas Heller; Pedro Henriques Abreu; Ivana Isgum; Wilson Silva; Ricardo P. M. Cruz; José Pereira Amorim; Vishal Patel 001; Badri Roysam; S. Kevin Zhou; Steve B. Jiang; et al. (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model. - Samaneh Abbasi-Sureshjani; Sina Amirrajab; Cristian Lorenz; Jürgen Weese; Josien P. W. Pluim; Marcel Breeuwer (MIDL, 2020)

Molecular Subtype Prediction for Breast Cancer Using H&E Specialized Backbone. - Samaneh Abbasi-Sureshjani; Anil Yüce; Simon Schönenberger; Maris Skujevskis; Uwe Schalles; Fabien Gaire; Konstanty Korski (COMPAY@MICCAI, 2021)

A comparative study between vision transformers and CNNs in digital pathology. - Luca Deininger; Bernhard Stimpel; Anil Yüce; Samaneh Abbasi-Sureshjani; Simon Schönenberger; Paolo Ocampo; Konstanty Korski; Fabien Gaire (CoRR, 2022)

Deep Cellular Embeddings: An Explainable Plug and Play Improvement for Feature Representation in Histopathology. - Jacob Gildenblat; Anil Yüce; Samaneh Abbasi-Sureshjani; Konstanty Korski (MICCAI (6), 2023)

Aggregation Model Hyperparameters Matter in Digital Pathology. - Gustav Bredell; Marcel Fischer; Przemyslaw Szostak; Samaneh Abbasi-Sureshjani; Alvaro Gomariz 001 (CoRR, 2023)

Integrating Multiscale Topology in Digital Pathology with Pyramidal Graph Convolutional Networks. - Victor Ibañez; Przemyslaw Szostak; Quincy Wong; Konstanty Korski; Samaneh Abbasi-Sureshjani; Alvaro Gomariz 001 (ISBI, 2024)

The Importance of Downstream Networks in Digital Pathology Foundation Models. - Gustav Bredell; Marcel Fischer; Przemyslaw Szostak; Samaneh Abbasi-Sureshjani; Alvaro Gomariz 001 (MedAGI@MICCAI, 2024)