Amin Ranem

According to our database, Amin Ranem authored at least 12 papers between 2022 and 2025.

Collaborative distances:

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

2025

Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge.

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

CoRR, July, 2025

SASVi: segment any surgical video.

Ssharvien Kumar R. Sivakumar, Yannik Frisch, Amin Ranem, Anirban Mukhopadhyay

Int. J. Comput. Assist. Radiol. Surg., July, 2025

NCAdapt: Dynamic Adaptation with Domain-Specific Neural Cellular Automata for Continual Hippocampus Segmentation.

Amin Ranem, John Kalkhof, Anirban Mukhopadhyay

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

Continual atlas-based segmentation of prostate MRI.

Amin Ranem, Camila González, Daniel Pinto dos Santos, Andreas M. Bucher, Ahmed E. Othman, Anirban Mukhopadhyay

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

UnCLe SAM: Unleashing SAM's Potential for Continual Prostate MRI Segmentation.

Amin Ranem, Mohamed Afham Mohamed Aflal, Moritz Fuchs, Anirban Mukhopadhyay

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

Unsupervised Training of Neural Cellular Automata on Edge Devices.

John Kalkhof, Amin Ranem, Anirban Mukhopadhyay

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

NCA-Morph: Medical Image Registration with Neural Cellular Automata.

Amin Ranem, John Kalkhof, Anirban Mukhopadhyay

Proceedings of the 35th British Machine Vision Conference, 2024

2023

Exploring SAM Ablations for Enhancing Medical Segmentation in Radiology and Pathology.

Amin Ranem, Niklas Babendererde, Moritz Fuchs, Anirban Mukhopadhyay

CoRR, 2023

2022

Detecting Respiratory Motion Artefacts for Cardiovascular MRIs to Ensure High-Quality Segmentation.

Amin Ranem, John Kalkhof, Caner Özer, Anirban Mukhopadhyay, Ilkay Öksüz

Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Task-Agnostic Continual Hippocampus Segmentation for Smooth Population Shifts.

Camila González, Amin Ranem, Ahmed E. Othman, Anirban Mukhopadhyay

Proceedings of the Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, 2022

Continual Hippocampus Segmentation with Transformers.

Amin Ranem, Camila González, Anirban Mukhopadhyay

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Quality Monitoring of Federated Covid-19 Lesion Segmentation.

Camila González, Christian L. Harder, Amin Ranem, Ricarda Fischbach, Isabel J. Kaltenborn, Armin Dadras, Andreas M. Bucher, Anirban Mukhopadhyay

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022