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ORCIDMarawan Elbatel
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2020 – today
- 2025
[j3]Jieyun Bai
, Zihao Zhou, Zhanhong Ou, Gregor Köhler, Raphael Stock, Klaus H. Maier-Hein, Marawan Elbatel, Robert Martí, Xiaomeng Li, Yaoyang Qiu, Panjie Gou, Gongping Chen, Lei Zhao, Jianxun Zhang, Yu Dai, Fangyijie Wang, Guénolé Silvestre, Kathleen M. Curran, Hongkun Sun, Jing Xu, Pengzhou Cai, Lu Jiang, Libin Lan, Dong Ni, Mei Zhong, Gaowen Chen, Víctor M. Campello, Yaosheng Lu, Karim Lekadir:
PSFHS challenge report: Pubic symphysis and fetal head segmentation from intrapartum ultrasound images. Medical Image Anal. 99: 103353 (2025)- 2024
- [j2]Kendall Schmidt, Benjamin Bearce, Ken Chang, Laura Coombs, Keyvan Farahani, Marawan Elbatel, Kaouther Mouheb, Robert Marti, Ruipeng Zhang, Ya Zhang, Yanfeng Wang, Yaojun Hu, Haochao Ying, Yuyang Xu, Conrad Testagrose, Mutlu Demirer, Vikash Gupta, Ünal Akünal, Markus Bujotzek, Klaus H. Maier-Hein, Yi Qin, Xiaomeng Li, Jayashree Kalpathy-Cramer, Holger R. Roth:
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge. Medical Image Anal. 95: 103206 (2024) - [j1]Marawan Elbatel, Robert Martí, Xiaomeng Li:
FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition. IEEE Trans. Medical Imaging 43(3): 954-965 (2024) - [c6]Kaouther Mouheb, Marawan Elbatel, Stefan Klein, Esther E. Bron:
Evaluating the Fairness of Neural Collapse in Medical Image Classification. MICCAI (10) 2024: 286-296 - [c5]Marawan Elbatel, Keyuan Liu, Yanqi Yang, Xiaomeng Li:
FD-SOS: Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral Images. MICCAI (3) 2024: 629-639 - [c4]Marawan Elbatel, Konstantinos Kamnitsas, Xiaomeng Li:
An Organism Starts with a Single Pix-Cell: A Neural Cellular Diffusion for High-Resolution Image Synthesis. MICCAI (1) 2024: 656-666 - [i12]Kendall Schmidt, Ben Bearce, Ken Chang, Laura Coombs, Keyvan Farahani, Marawan Elbatel, Kaouther Mouheb, Robert Marti, Ruipeng Zhang, Yao Zhang, Yanfeng Wang, Yaojun Hu, Haochao Ying, Yuyang Xu, Conrad Testagrose, Mutlu Demirer, Vikash Gupta, Ünal Akünal, Markus Bujotzek, Klaus H. Maier-Hein, Yi Qin, Xiaomeng Li, Jayashree Kalpathy-Cramer, Holger R. Roth:
Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge. CoRR abs/2405.14900 (2024) - [i11]Marawan Elbatel, Konstantinos Kamnitsas, Xiaomeng Li:
An Organism Starts with a Single Pix-Cell: A Neural Cellular Diffusion for High-Resolution Image Synthesis. CoRR abs/2407.03018 (2024) - [i10]Kaouther Mouheb, Marawan Elbatel, Stefan Klein, Esther E. Bron:
Evaluating the Fairness of Neural Collapse in Medical Image Classification. CoRR abs/2407.05843 (2024) - [i9]Marawan Elbatel, Keyuan Liu, Yanqi Yang, Xiaomeng Li:
FD-SOS: Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral Images. CoRR abs/2407.09088 (2024) - [i8]Marawan Elbatel, Hualiang Wang, Jixiang Chen, Hao Wang, Xiaomeng Li:
Learning Unlabeled Clients Divergence via Anchor Model Aggregation for Federated Semi-supervised Learning. CoRR abs/2407.10327 (2024) - [i7]Muhammad Alberb, Marawan Elbatel, Aya Elgebaly, Ricardo Montoya-del-Angel, Xiaomeng Li, Robert Martí:
CoMoTo: Unpaired Cross-Modal Lesion Distillation Improves Breast Lesion Detection in Tomosynthesis. CoRR abs/2407.17620 (2024) - [i6]Jieyun Bai, Zihao Zhou, Zhanhong Ou, Gregor Köhler, Raphael Stock, Klaus H. Maier-Hein, Marawan Elbatel, Robert Martí, Xiaomeng Li, Yaoyang Qiu, Panjie Gou, Gongping Chen, Lei Zhao, Jianxun Zhang, Yu Dai, Fangyijie Wang, Guénolé Silvestre, Kathleen M. Curran, Hongkun Sun, Jing Xu, Pengzhou Cai, Lu Jiang, Libin Lan, Dong Ni, Mei Zhong, Gaowen Chen, Víctor M. Campello, Yaosheng Lu, Karim Lekadir:
PSFHS Challenge Report: Pubic Symphysis and Fetal Head Segmentation from Intrapartum Ultrasound Images. CoRR abs/2409.10980 (2024) - 2023
- [c3]Qi Wu, Yuyao Zhang, Marawan Elbatel:
Self-prompting Large Vision Models for Few-Shot Medical Image Segmentation. DART@MICCAI 2023: 156-167 - [c2]Marawan Elbatel, Hualiang Wang, Robert Martí, Huazhu Fu, Xiaomeng Li:
Federated Model Aggregation via Self-supervised Priors for Highly Imbalanced Medical Image Classification. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 334-346 - [i5]Marawan Elbatel, Robert Martí, Xiaomeng Li:
FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition. CoRR abs/2305.17421 (2023) - [i4]Marawan Elbatel, Hualiang Wang, Robert Martí, Huazhu Fu, Xiaomeng Li:
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification. CoRR abs/2307.14959 (2023) - [i3]Qi Wu, Yuyao Zhang, Marawan Elbatel:
Self-Prompting Large Vision Models for Few-Shot Medical Image Segmentation. CoRR abs/2308.07624 (2023) - 2022
- [c1]Marawan Elbatel, Christina Bornberg, Manasi Kattel, Enrique Almar, Claudio Marrocco, Alessandro Bria:
Seamless Iterative Semi-supervised Correction of Imperfect Labels in Microscopy Images. DART@MICCAI 2022: 98-107 - [i2]Marawan Elbatel:
Mammograms Classification: A Review. CoRR abs/2203.03618 (2022) - [i1]Marawan Elbatel, Christina Bornberg, Manasi Kattel, Enrique Almar, Claudio Marrocco, Alessandro Bria:
Seamless Iterative Semi-Supervised Correction of Imperfect Labels in Microscopy Images. CoRR abs/2208.03327 (2022)
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