Samaneh Abbasi-Sureshjani

According to our database, Samaneh Abbasi-Sureshjani authored at least 21 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The Importance of Downstream Networks in Digital Pathology Foundation Models.

Gustav Bredell, Marcel Fischer, Przemyslaw Szostak, Samaneh Abbasi-Sureshjani, Alvaro Gomariz

Proceedings of the Foundation Models for General Medical AI, 2024

Integrating Multiscale Topology in Digital Pathology with Pyramidal Graph Convolutional Networks.

Victor Ibañez, Przemyslaw Szostak, Quincy Wong, Konstanty Korski, Samaneh Abbasi-Sureshjani, Alvaro Gomariz

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Aggregation Model Hyperparameters Matter in Digital Pathology.

Gustav Bredell, Marcel Fischer, Przemyslaw Szostak, Samaneh Abbasi-Sureshjani, Alvaro Gomariz

CoRR, 2023

Deep Cellular Embeddings: An Explainable Plug and Play Improvement for Feature Representation in Histopathology.

Jacob Gildenblat, Anil Yüce, Samaneh Abbasi-Sureshjani, Konstanty Korski

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

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

2021

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

Proceedings of the MICCAI Workshop on Computational Pathology, 2021

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

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing.

Jaime S. Cardoso, Hien Van Nguyen, Nicholas Heller, Pedro Henriques Abreu, Ivana Isgum, Wilson Silva, Ricardo P. M. Cruz, José Pereira Amorim, Vishal Patel, Badri Roysam, S. Kevin Zhou, Steve B. Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Samaneh Abbasi-Sureshjani

Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Risk of Training Diagnostic Algorithms on Data with Demographic Bias.

Samaneh Abbasi-Sureshjani, Ralf Raumanns, Britt E. J. Michels, Gerard Schouten, Veronika Cheplygina

Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

2018

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

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

Boosted Exudate Segmentation in Retinal Images Using Residual Nets.

Samaneh Abbasi-Sureshjani, Behdad Dashtbozorg, Bart M. ter Haar Romeny, François Fleuret

Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017

Retinal health information and notification system (RHINO).

Behdad Dashtbozorg, Jiong Zhang, Samaneh Abbasi-Sureshjani, Fan Huang, Bart M. ter Haar Romeny

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

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, Jan Schouten, Mengmeng Tong, Hanhui Wu, Han J. W. van Triest, Shanshan Zhu, Dali Chen, Wei He, Ling Xu, Ping Han, Yan Kang

Mach. Vis. Appl., 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

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

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

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

Biologically-Inspired Supervised Vasculature Segmentation in SLO Retinal Fundus Images.

Samaneh Abbasi-Sureshjani, Iris Smit-Ockeloen, Jiong Zhang, Bart M. ter Haar Romeny

Proceedings of the Image Analysis and Recognition - 12th International Conference, 2015

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

Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

2014

Pattern recognition in large electrical motors.

Samaneh Abbasi-Sureshjani, Maher Kayal

Proceedings of the 23rd IEEE International Symposium on Industrial Electronics, 2014