Mehdi Astaraki

According to our database, Mehdi Astaraki authored at least 24 papers between 2015 and 2026.

Collaborative distances:

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

2026

Redefining Instance Matching: A Unified Framework for Part-Aware Matching in Panoptic Segmentation Evaluation.

Erik Großkopf, Soumya Snigdha Kundu, Hendrik Kristian Möller, Nicolas Münster, Mehdi Astaraki, Paula Tamara Buzduga, Kerstin Ritter, Benedikt Wiestler, Jan Kirschke, Jonathan Shapey, Tom Vercauteren, Florian Kofler

CoRR, May, 2026

AEGIS: An Operational Infrastructure for Post-Market Governance of Adaptive Medical AI Under US and EU Regulations.

Fardin Afdideh, Mehdi Astaraki, Fernando Seoane, Farhad Abtahi

CoRR, March, 2026

Leveraging imperfection with MEDLEY: a multi-model approach harnessing bias in medical AI.

Farhad Abtahi, Mehdi Astaraki, Fernando Seoane

Frontiers Artif. Intell., 2026

2025

ChEmbed: Enhancing Chemical Literature Search Through Domain-Specific Text Embeddings.

Ali Shiraee Kasmaee, Mohammad Khodadad, Mehdi Astaraki, Mohammad Arshi Saloot, Nicholas Sherck, Hamidreza Mahyar, Soheila Samiee

CoRR, August, 2025

MAIA: A Collaborative Medical AI Platform for Integrated Healthcare Innovation.

Simone Bendazzoli, Sanna Persson, Mehdi Astaraki, Sebastian Pettersson, Vitali Grozman, Rodrigo Moreno

CoRR, July, 2025

BrainLesion Suite: A Flexible and User-Friendly Framework for Modular Brain Lesion Image Analysis.

Florian Kofler, Marcel Rosier, Mehdi Astaraki, Hendrik Kristian Möller, Isra Mekki, Josef A. Buchner, Anton Schmick, Arianna Pfiffer, Eva Oswald, Lucas Zimmer, Ezequiel de la Rosa, Sarthak Pati, Julian Canisius, Arianna Piffer, Ujjwal Baid, Mahyar Valizadeh, Akis Linardos, Jan C. Peeken, Surprosanna Shit, Felix Steinbauer, Daniel Rueckert, Rolf A. Heckemann, Spyridon Bakas, Jan Kirschke, Constantin von See, Ivan Ezhov, Marie Piraud, Benedikt Wiestler, Bjoern H. Menze

CoRR, July, 2025

BraTS orchestrator : Democratizing and Disseminating state-of-the-art brain tumor image analysis.

Florian Kofler, Marcel Rosier, Mehdi Astaraki, Ujjwal Baid, Hendrik Kristian Möller, Josef A. Buchner, Felix Steinbauer, Eva Oswald, Ezequiel de la Rosa, Ivan Ezhov, Constantin von See, Jan Kirschke, Anton Schmick, Sarthak Pati, Akis Linardos, Carla Pitarch, Sanyukta Adap, Jeffrey D. Rudie, Maria Correia de Verdier, Rachit Saluja, Evan Calabrese, Dominic LaBella, Mariam Aboian, Ahmed W. Moawad, Nazanin Maleki, Udunna Anazodo, Maruf Adewole, Marius George Linguraru, Anahita Fathi Kazerooni, Zhifan Jiang, Gian Marco Conte, Hongwei Li, Juan Eugenio Iglesias, Spyridon Bakas, Benedikt Wiestler, Marie Piraud, Bjoern H. Menze

CoRR, June, 2025

SegRap2023: A benchmark of organs-at-risk and gross tumor volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma.

Xiangde Luo, Jia Fu, Yunxin Zhong, Shuolin Liu, Bing Han, Mehdi Astaraki, Simone Bendazzoli, Iuliana Toma-Dasu, Yiwen Ye, Ziyang Chen, Yong Xia, Yanzhou Su, Jin Ye, Junjun He, Zhaohu Xing, Hongqiu Wang, Lei Zhu, Kaixiang Yang, Xin Fang, Zhiwei Wang, Chan Woong Lee, Sang Joon Park, Jaehee Chun, Constantin Ulrich, Klaus H. Maier-Hein, Nchongmaje Ndipenoch, Alina Dana Miron, Yongmin Li, Yimeng Zhang, Yu Chen, Lu Bai, Jinlong Huang, Chengyang An, Lisheng Wang, Kaiwen Huang, Yunqi Gu, Tao Zhou, Mu Zhou, Shichuan Zhang, Wenjun Liao, Guotai Wang, Shaoting Zhang

Medical Image Anal., 2025

MONet-FL: Extending nnU-Net with MONAI for Clinical Federated Learning.

Simone Bendazzoli, Mehdi Astaraki, Antonios Tzortzakakis, Andréas Abrahamsson, Björn Engelbrekt Wahlin, Sofia Brunori, Maria Holstensson, Rodrigo Moreno

Proceedings of the Bridging Regulatory Science and Medical Imaging Evaluation; and Distributed, Collaborative, and Federated Learning, 2025

Brain Tissue Context for Enhancing Brain Tumor Segmentation: A Contribution to BraTS 2025.

Mehdi Astaraki, Farangis Sajadi Moghadam, Iuliana Toma-Dasu

Proceedings of the Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, 2025

2024

Results from the autoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging.

Sergios Gatidis, Marcel Früh, Matthias Fabritius, Sijing Gu, Konstantin Nikolaou, Christian la Fougère, Jin Ye, Junjun He, Yige Peng, Lei Bi, Jun Ma, Bo Wang, Jia Zhang, Yukun Huang, Lars Heiliger, Zdravko Marinov, Rainer Stiefelhagen, Jan Egger, Jens Kleesiek, Ludovic Sibille, Lei Xiang, Simone Bendazzoli, Mehdi Astaraki, Michael Ingrisch, Clemens C. Cyran, Thomas Küstner

Nat. Mac. Intell., 2024

Lesion Segmentation in Whole-Body Multi-Tracer PET-CT Images; a Contribution to AutoPET 2024 Challenge.

Mehdi Astaraki, Simone Bendazzoli

CoRR, 2024

Efficient Generation of Synthetic Breast CT Slices By Combining Generative and Super-Resolution Models.

Zhikai Yang, Mehdi Astaraki, Örjan Smedby, Rodrigo Moreno

Proceedings of the Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, 2024

Enhancing Head and Neck Tumor Segmentation in MRI: The Impact of Image Preprocessing and Model Ensembling.

Mehdi Astaraki, Iuliana Toma-Dasu

Proceedings of the Head and Neck Tumor Segmentation for MR-Guided Applications, 2024

2023

Fully Automatic Segmentation of Gross Target Volume and Organs-at-Risk for Radiotherapy Planning of Nasopharyngeal Carcinoma.

Mehdi Astaraki, Simone Bendazzoli, Iuliana Toma-Dasu

CoRR, 2023

AutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection.

Mehdi Astaraki, Francesca De Benetti, Yousef Yeganeh, Iuliana Toma-Dasu, Örjan Smedby, Chunliang Wang, Nassir Navab, Thomas Wendler

CoRR, 2023

2022

Advanced Machine Learning Methods for Oncological Image Analysis.

Mehdi Astaraki

PhD thesis, 2022

Prior-aware autoencoders for lung pathology segmentation.

Mehdi Astaraki, Örjan Smedby, Chunliang Wang

Medical Image Anal., 2022

PriorNet: lesion segmentation in PET-CT including prior tumor appearance information.

Simone Bendazzoli, Mehdi Astaraki

CoRR, 2022

2019

Normal Appearance Autoencoder for Lung Cancer Detection and Segmentation.

Mehdi Astaraki, Iuliana Toma-Dasu, Örjan Smedby, Chunliang Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Multimodal Brain Tumor Segmentation with Normal Appearance Autoencoder.

Mehdi Astaraki, Chunliang Wang, Gabriel Carrizo, Iuliana Toma-Dasu, Örjan Smedby

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018

Robust Facial Expression Recognition for MuCI: A Comprehensive Neuromuscular Signal Analysis.

Mahyar Hamedi, Sh-Hussain Salleh, Chee-Ming Ting, Mehdi Astaraki, Alias Mohd Noor

IEEE Trans. Affect. Comput., 2018

2015

Time-frequency facial gestures EMG analysis using bilinear distribution.

Mahyar Hamedi, Sh-Hussain Salleh, Ismail Kamarulafizam, Alias Mohd Noor, Mehdi Astaraki, Hossein Aslian

Proceedings of the 2015 IEEE International Conference on Signal and Image Processing Applications, 2015

A modified fast local region based method for image segmentation.

Mehdi Astaraki, Hossein Aslian, Mahyar Hamedi

Proceedings of the 2015 IEEE International Conference on Signal and Image Processing Applications, 2015