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ORCIDSamaneh Abbasi-Sureshjani
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2020 – today
- 2024
[c14]Victor Ibañez, Przemyslaw Szostak, Quincy Wong, Konstanty Korski, Samaneh Abbasi-Sureshjani, Alvaro Gomariz:
Integrating Multiscale Topology in Digital Pathology with Pyramidal Graph Convolutional Networks. ISBI 2024: 1-4- [c13]Gustav Bredell, Marcel Fischer, Przemyslaw Szostak, Samaneh Abbasi-Sureshjani
, Alvaro Gomariz:
The Importance of Downstream Networks in Digital Pathology Foundation Models. MedAGI@MICCAI 2024: 10-19 - [i9]Victor Ibañez, Przemyslaw Szostak, Quincy Wong, Konstanty Korski, Samaneh Abbasi-Sureshjani, Alvaro Gomariz:
Integrating multiscale topology in digital pathology with pyramidal graph convolutional networks. CoRR abs/2403.15068 (2024) - 2023
- [c12]Jacob Gildenblat, Anil Yüce, Samaneh Abbasi-Sureshjani, Konstanty Korski:
Deep Cellular Embeddings: An Explainable Plug and Play Improvement for Feature Representation in Histopathology. MICCAI (6) 2023: 776-785 - [i8]Gustav Bredell, Marcel Fischer, Przemyslaw Szostak, Samaneh Abbasi-Sureshjani, Alvaro Gomariz:
Aggregation Model Hyperparameters Matter in Digital Pathology. CoRR abs/2311.17804 (2023) - 2022
- [i7]Luca Deininger, Bernhard Stimpel, Anil Yüce, Samaneh Abbasi-Sureshjani, Simon Schönenberger, Paolo Ocampo, Konstanty Korski, Fabien Gaire:
A comparative study between vision transformers and CNNs in digital pathology. CoRR abs/2206.00389 (2022) - 2021
- [c11]Samaneh Abbasi-Sureshjani, Anil Yüce, Simon Schönenberger, Maris Skujevskis, Uwe Schalles, Fabien Gaire, Konstanty Korski:
Molecular Subtype Prediction for Breast Cancer Using H&E Specialized Backbone. COMPAY@MICCAI 2021: 1-9 - 2020
- [c10]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:
Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 1 - [c9]Sina Amirrajab, Samaneh Abbasi-Sureshjani, Yasmina Al Khalil, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer:
XCAT-GAN for Synthesizing 3D Consistent Labeled Cardiac MR Images on Anatomically Variable XCAT Phantoms. MICCAI (4) 2020: 128-137 - [c8]Samaneh Abbasi-Sureshjani, Ralf Raumanns, Britt E. J. Michels, Gerard Schouten, Veronika Cheplygina:
Risk of Training Diagnostic Algorithms on Data with Demographic Bias. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 183-192 - [c7]Samaneh Abbasi-Sureshjani, Sina Amirrajab, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer:
4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model. MIDL 2020: 6-18 - [e1]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:
Interpretable and Annotation-Efficient Learning for Medical Image Computing - Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3ID 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings. Lecture Notes in Computer Science 12446, Springer 2020, ISBN 978-3-030-61165-1 [contents] - [i6]Samaneh Abbasi-Sureshjani, Sina Amirrajab, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer:
4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model. CoRR abs/2002.07089 (2020) - [i5]Samaneh Abbasi-Sureshjani, Ralf Raumanns, Britt E. J. Michels, Gerard Schouten, Veronika Cheplygina:
Risk of Training Diagnostic Algorithms on Data with Demographic Bias. CoRR abs/2005.10050 (2020) - [i4]Sina Amirrajab, Samaneh Abbasi-Sureshjani, Yasmina Al Khalil, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer:
XCAT-GAN for Synthesizing 3D Consistent Labeled Cardiac MR Images on Anatomically Variable XCAT Phantoms. CoRR abs/2007.13408 (2020)
2010 – 2019
- 2018
- [j4]Samaneh Abbasi-Sureshjani, Marta Favali, Giovanna Citti, Alessandro Sarti, Bart M. ter Haar Romeny:
Curvature Integration in a 5D Kernel for Extracting Vessel Connections in Retinal Images. IEEE Trans. Image Process. 27(2): 606-621 (2018) - 2017
- [j3]Samaneh Abbasi-Sureshjani, Jiong Zhang, Remco Duits, Bart M. ter Haar Romeny:
Retrieving challenging vessel connections in retinal images by line co-occurrence statistics. Biol. Cybern. 111(3-4): 237-247 (2017) - [c6]Behdad Dashtbozorg, Jiong Zhang, Samaneh Abbasi-Sureshjani, Fan Huang, Bart M. ter Haar Romeny:
Retinal health information and notification system (RHINO). Computer-Aided Diagnosis 2017: 1013437 - [c5]Samaneh Abbasi-Sureshjani, Behdad Dashtbozorg, Bart M. ter Haar Romeny, François Fleuret:
Boosted Exudate Segmentation in Retinal Images Using Residual Nets. FIFI/OMIA@MICCAI 2017: 210-218 - 2016
- [j2]Marta Favali, Samaneh Abbasi-Sureshjani, Bart M. ter Haar Romeny, Alessandro Sarti:
Analysis of Vessel Connectivities in Retinal Images by Cortically Inspired Spectral Clustering. J. Math. Imaging Vis. 56(1): 158-172 (2016) - [j1]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:
Brain-inspired algorithms for retinal image analysis. Mach. Vis. Appl. 27(8): 1117-1135 (2016) - [c4]Samaneh Abbasi-Sureshjani, Iris Smit-Ockeloen, Erik J. Bekkers, Behdad Dashtbozorg, Bart M. ter Haar Romeny:
Automatic detection of vascular bifurcations and crossings in retinal images using orientation scores. ISBI 2016: 189-192 - [i3]Samaneh Abbasi-Sureshjani, Marta Favali, Giovanna Citti, Alessandro Sarti, Bart M. ter Haar Romeny:
Cortically-Inspired Spectral Clustering for Connectivity Analysis in Retinal Images: Curvature Integration. CoRR abs/1608.08049 (2016) - [i2]Samaneh Abbasi-Sureshjani, Jiong Zhang, Remco Duits, Bart M. ter Haar Romeny:
Retrieving challenging vessel connections in retinal images by line co-occurrence statistics. CoRR abs/1610.06368 (2016) - 2015
- [c3]Jiong Zhang, Erik J. Bekkers, Samaneh Abbasi-Sureshjani, Behdad Dashtbozorg, Bart M. ter Haar Romeny:
Robust and Fast Vessel Segmentation via Gaussian Derivatives in Orientation Scores. ICIAP (1) 2015: 537-547 - [c2]Samaneh Abbasi-Sureshjani, Iris Smit-Ockeloen, Jiong Zhang, Bart M. ter Haar Romeny:
Biologically-Inspired Supervised Vasculature Segmentation in SLO Retinal Fundus Images. ICIAR 2015: 325-334 - [i1]Marta Favali, Samaneh Abbasi-Sureshjani, Bart M. ter Haar Romeny, Alessandro Sarti:
Analysis of Vessel Connectivities in Retinal Images by Cortically Inspired Spectral Clustering. CoRR abs/1512.06559 (2015) - 2014
- [c1]Samaneh Abbasi-Sureshjani, Maher Kayal:
Pattern recognition in large electrical motors. ISIE 2014: 721-726
Coauthor Index
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