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ORCIDSina Amirrajab
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2020 – today
- 2025
[j9]Mahmoud K. Ibrahim
, Yasmina Al Khalil, Sina Amirrajab, Chang Sun, Marcel Breeuwer, Josien P. W. Pluim, Bart Elen, Gökhan Ertaylan, Michel Dumontier:
Generative AI for synthetic data across multiple medical modalities: A systematic review of recent developments and challenges. Comput. Biol. Medicine 189: 109834 (2025)- [j8]Evi M. C. Huijben, Sina Amirrajab, Josien P. W. Pluim:
Enhancing reconstruction-based out-of-distribution detection in brain MRI with model and metric ensembles. Comput. Methods Programs Biomed. 272: 109045 (2025) - [i15]Danial Khan, Zohaib Salahuddin, Yumeng Zhang, Sheng Kuang, Shruti Atul Mali, Henry C. Woodruff, Sina Amirrajab, Rachel Cavill, Eduardo Ibor-Crespo, Ana Jimenez-Pastor, Adrián Galiana-Bordera, Paula Jimenez Gomez, Luis Martí-Bonmatí, Philippe Lambin:
Explainable Anatomy-Guided AI for Prostate MRI: Foundation Models and In Silico Clinical Trials for Virtual Biopsy-based Risk Assessment. CoRR abs/2505.17971 (2025) - [i14]Yumeng Zhang, Zohaib Salahuddin, Danial Khan, Shruti Atul Mali, Henry C. Woodruff, Sina Amirrajab, Eduardo Ibor-Crespo, Ana Jimenez-Pastor, Luis Martí-Bonmatí, Philippe Lambin:
A Foundation Model Framework for Multi-View MRI Classification of Extramural Vascular Invasion and Mesorectal Fascia Invasion in Rectal Cancer. CoRR abs/2505.18058 (2025) - [i13]Sina Amirrajab, Volker Vehof, Michael Bietenbeck, Ali Yilmaz:
Comparative analysis of privacy-preserving open-source LLMs regarding extraction of diagnostic information from clinical CMR imaging reports. CoRR abs/2506.00060 (2025) - [i12]Kang Wang, Chen Qin, Zhang Shi, Haoran Wang, Xiwen Zhang, Chen Chen, Cheng Ouyang, Chengliang Dai, Yuanhan Mo, Chenchen Dai, Xutong Kuang, Ruizhe Li, Xin Chen, Xiuzheng Yue, Song Tian, Alejandro Mora-Rubio, Kumaradevan Punithakumar, Shizhan Gong, Qi Dou, Sina Amirrajab, Yasmina Al Khalil, Cian M. Scannell, Lexiaozi Fan, Huili Yang, Xiaowu Sun, Rob J. van der Geest, Tewodros Weldebirhan Arega, Fabrice Mériaudeau, Caner Özer, Amin Ranem, John Kalkhof, Ilkay Öksüz, Anirban Mukhopadhyay, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Carles García-Cabrera, Eric Arazo, Michal K. Grzeszczyk, Szymon Plotka, Wanqin Ma, Xiaomeng Li, Rongjun Ge, Yongqing Kou, Xinrong Chen, He Wang, Chengyan Wang, Wenjia Bai, Shuo Wang:
Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge. CoRR abs/2507.19165 (2025) - [i11]Sina Amirrajab, Zohaib Salahuddin, Sheng Kuang, Henry C. Woodruff, Philippe Lambin:
Radiology Report Conditional 3D CT Generation with Multi Encoder Latent diffusion Model. CoRR abs/2509.14780 (2025) - [i10]Petros Koutsouvelis, Matej Gazda, Leroy Volmer, Sina Amirrajab, Kamil Barbierik, Branislav Setlák, Jakub Gazda, Peter Drotár:
Large-scale modality-invariant foundation models for brain MRI analysis: Application to lesion segmentation. CoRR abs/2511.11311 (2025) - 2024
- [j7]Aymen Ayaz, Yasmina Al Khalil, Sina Amirrajab, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer:
Brain MR image simulation for deep learning based medical image analysis networks. Comput. Methods Programs Biomed. 248: 108115 (2024) - [i9]Mahmoud Ibrahim, Yasmina Al Khalil, Sina Amirrajab, Chang Sun, Marcel Breeuwer, Josien P. W. Pluim, Bart Elen, Gökhan Ertaylan, Michel Dumontier:
Generative AI for Synthetic Data Across Multiple Medical Modalities: A Systematic Review of Recent Developments and Challenges. CoRR abs/2407.00116 (2024) - [i8]Evi M. C. Huijben, Sina Amirrajab, Josien P. W. Pluim:
Enhancing Reconstruction-Based Out-of-Distribution Detection in Brain MRI with Model and Metric Ensembles. CoRR abs/2412.17586 (2024) - 2023
- [j6]Yasmina Al Khalil, Sina Amirrajab, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer:
Reducing segmentation failures in cardiac MRI via late feature fusion and GAN-based augmentation. Comput. Biol. Medicine 161: 106973 (2023) - [j5]Yasmina Al Khalil, Sina Amirrajab, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer:
On the usability of synthetic data for improving the robustness of deep learning-based segmentation of cardiac magnetic resonance images. Medical Image Anal. 84: 102688 (2023) - [j4]Sina Amirrajab, Yasmina Al Khalil, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer:
A Framework for Simulating Cardiac MR Images With Varying Anatomy and Contrast. IEEE Trans. Medical Imaging 42(3): 726-738 (2023) - [i7]Julian P. Merkofer, Dennis M. J. van de Sande, Sina Amirrajab, Gerhard S. Drenthen, Mitko Veta, Jacobus F. A. Jansen, Marcel Breeuwer, Ruud J. G. van Sloun:
A Deep Learning Approach Utilizing Covariance Matrix Analysis for the ISBI Edited MRS Reconstruction Challenge. CoRR abs/2306.02984 (2023) - [i6]Evi M. C. Huijben, Sina Amirrajab, Josien P. W. Pluim:
Histogram- and Diffusion-Based Medical Out-of-Distribution Detection. CoRR abs/2310.08654 (2023) - 2022
- [j3]Sina Amirrajab, Yasmina Al Khalil, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer:
Label-informed cardiac magnetic resonance image synthesis through conditional generative adversarial networks. Comput. Medical Imaging Graph. 101: 102123 (2022) - [j2]Didier R. P. R. M. Lustermans, Sina Amirrajab, Mitko Veta, Marcel Breeuwer, Cian M. Scannell:
Optimized automated cardiac MR scar quantification with GAN-based data augmentation. Comput. Methods Programs Biomed. 226: 107116 (2022) - [c6]Sina Amirrajab, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer:
Pathology Synthesis of 3D Consistent Cardiac MR Images Using 2D VAEs and GANs. SASHIMI@MICCAI 2022: 34-42 - [c5]Sina Amirrajab, Yasmina Al Khalil, Josien P. W. Pluim, Marcel Breeuwer, Cian M. Scannell:
Cardiac MR Image Segmentation and Quality Control in the Presence of Respiratory Motion Artifacts Using Simulated Data. STACOM@MICCAI 2022: 466-475 - [i5]Sina Amirrajab, Yasmina Al Khalil, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer:
sim2real: Cardiac MR Image Simulation-to-Real Translation via Unsupervised GANs. CoRR abs/2208.04874 (2022) - [i4]Sina Amirrajab, Cristian Lorenz, Jürgen Weese, Josien P. W. Pluim, Marcel Breeuwer:
Pathology Synthesis of 3D Consistent Cardiac MR Im-ages Using 2D VAEs and GANs. CoRR abs/2209.04223 (2022) - 2021
- [j1]Evianne Kruithof, Sina Amirrajab, Matthijs J. M. Cluitmans, K. D. Lau, Marcel Breeuwer:
Influence of image artifacts on image-based computer simulations of the cardiac electrophysiology. Comput. Biol. Medicine 137: 104773 (2021) - [c4]Yasmina Al Khalil, Sina Amirrajab, Josien P. W. Pluim, Marcel Breeuwer:
Late Fusion U-Net with GAN-Based Augmentation for Generalizable Cardiac MRI Segmentation. STACOM@MICCAI 2021: 360-373 - [i3]Didier R. P. R. M. Lustermans, Sina Amirrajab, Mitko Veta, Marcel Breeuwer, Cian M. Scannell:
Optimized Automated Cardiac MR Scar Quantification with GAN-Based Data Augmentation. CoRR abs/2109.12940 (2021) - 2020
- [c3]Yasmina Al Khalil, Sina Amirrajab, Cristian Lorenz, Jürgen Weese, Marcel Breeuwer:
Heterogeneous Virtual Population of Simulated CMR Images for Improving the Generalization of Cardiac Segmentation Algorithms. SASHIMI@MICCAI 2020: 68-79 - [c2]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 - [c1]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 - [i2]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) - [i1]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)
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