Mehdi Astaraki

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All published works

Action	Title	Year	Authors
+ PDF Chat	SegRap2023: A benchmark of organs-at-risk and gross tumor volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma	2025	Xiangde Luo Jia Fu Yunxin Zhong Shuolin Liu Bing Han Mehdi Astaraki Simone Bendazzoli Iuliana Toma-Daşu Yiwen Ye Ziyang Chen
+ PDF Chat	Lesion Segmentation in Whole-Body Multi-Tracer PET-CT Images; a Contribution to AutoPET 2024 Challenge	2024	Mehdi Astaraki Simone Bendazzoli
+	Overall survival prediction for high-grade glioma patients using mathematical modeling of tumor cell infiltration	2023	Wille Häger Iuliana Toma-Daşu Mehdi Astaraki M. Lazzeroni
+	OC-0783 treatment outcome prediction from modeling the clinical target distribution for high-grade gliomas	2023	W Hager M. Lazzeroni Mehdi Astaraki Iuliana Toma-Daşu W Hager
+	AutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection	2023	Mehdi Astaraki Francesca De Benetti Yousef Yeganeh Iuliana Toma-Daşu Örjan Smedby Chunliang Wang Nassir Navab Thomas Wendler
+	Fully Automatic Segmentation of Gross Target Volume and Organs-at-Risk for Radiotherapy Planning of Nasopharyngeal Carcinoma	2023	Mehdi Astaraki Simone Bendazzoli Iuliana Toma‐Dasu
+	SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma	2023	Xiangde Luo Jia Fu Yunxin Zhong Shuolin Liu Bing Han Mehdi Astaraki Simone Bendazzoli Iuliana Toma-Daşu Yiwen Ye Ziyang Chen
+	CTV Delineation for High-Grade Gliomas: Is There Agreement With Tumor Cell Invasion Models?	2022	Wille Häger M. Lazzeroni Mehdi Astaraki Iuliana Toma-Daşu
+	PriorNet: lesion segmentation in PET-CT including prior tumor appearance information	2022	Simone Bendazzoli Mehdi Astaraki
+ PDF Chat	Development and evaluation of a 3D annotation software for interactive COVID-19 lesion segmentation in chest CT	2020	Simone Bendazzoli Irene Brusini Mehdi Astaraki Mats Persson Qi Yu Bryan A. Connolly Sven Nyrén Fredrik Strand Örjan Smedby Chunliang Wang
+	Development and evaluation of a 3D annotation software for interactive COVID-19 lesion segmentation in chest CT	2020	Simone Bendazzoli Irene Brusini Mehdi Astaraki Mikael Persson Yu J Bryan Connolly Sven Nyrén Fredrik Strand Örjan Smedby Chao Wang

Common Coauthors

Coauthor	Papers Together
Iuliana Toma-Daşu	7
Simone Bendazzoli	7
Örjan Smedby	3
M. Lazzeroni	3
Lu Bai	2
Chan Woong Lee	2
Jinlong Huang	2
Yongmin Li	2
Shichuan Zhang	2
Ziyang Chen	2
Yu Chen	2
Zhiwei Wang	2
Yong Xia	2
Bing Han	2
Lisheng Wang	2
Yimeng Zhang	2
Kaixiang Yang	2
Ye Jin	2
Yunqi Gu	2
Xin Fang	2
Chunliang Wang	2
Jia Fu	2
Wille Häger	2
Yunxin Zhong	2
Klaus H. Maier‐Hein	2
Sven Nyrén	2
Guotai Wang	2
Irene Brusini	2
Kaiwen Huang	2
Yanzhou Su	2
Mu Zhou	2
Zhaohu Xing	2
Shuolin Liu	2
Constantin Ulrich	2
Nchongmaje Ndipenoch	2
Xiangde Luo	2
Fredrik Strand	2
Junjun He	2
Chengyang An	2
Sang Joon Park	2
Tao Zhou	2
Shaoting Zhang	2
Alina Miron	2
Hongqiu Wang	2
Yiwen Ye	2
Wenjun Liao	2
Jaehee Chun	2
Chao Wang	1
Lei Zhu	1
Lei Zhu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	The biology and mathematical modelling of glioma invasion: a review	2017	Juan Carlos López Alfonso Katrin Talkenberger Michael Seifert Barbara Klink Andrea Hawkins‐Daarud Kristin R. Swanson Haralampos Hatzikirou Andreas Deutsch	2
+	A mathematical model of glioma growth: the effect of chemotherapy on spatio‐temporal growth	1995	Philippe Tracqui G. C. Cruywagen Diana E. Woodward Gabe T. Bartoo J. D. Murray Ellsworth C. Alvord	2
+	Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge	2018	Spyridon Bakas Mauricio Reyes Enzo Battistella Siddhartha Chandra Huiguang He Lucas Fidon Maria Vakalopoulou Roger Sun et al. Éric Deutsch	2
+ PDF Chat	A quantitative model for differential motility of gliomas in grey and white matter	2000	Kristin R. Swanson Ellsworth C. Alvord J. D. Murray	2
+	Morphological and flow cytometric analysis of cell infiltration in glioblastoma: a comparison of autopsy brain and neuroimaging	2010	Takahiro Yamahara Yoshihiro Numa Tetsuya Oishi Takuya Kawaguchi Toshitaka Seno Akio Asai Keiji Kawamoto	2
+	The Interaction of Growth Rates and Diffusion Coefficients in a Three-dimensional Mathematical Model of Gliomas	1997	Patricia K. Burgess Paul M. Kulesa James D. Murray Ellsworth C. Alvord	2
+ PDF Chat	The Evolution of Mathematical Modeling of Glioma Proliferation and Invasion	2007	Hana L.P. Harpold Ellsworth C. Alvord Kristin R. Swanson	2
+ PDF Chat	Predicting the efficacy of radiotherapy in individual glioblastoma patients<i>in vivo:</i>a mathematical modeling approach	2010	Russell C. Rockne Jason K. Rockhill Maciej M. Mrugała Alexander M. Spence Ira J. Kalet K Hendrickson Albert Lai Timothy F. Cloughesy Ellsworth C. Alvord Kristin R. Swanson	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+ PDF Chat	Mathematical Analysis of Glioma Growth in a Murine Model	2017	Erica M. Rutter Tracy L. Stepien Barrett J. Anderies Jonathan D. Plasencia Eric C. Woolf Adrienne C. Scheck Gregory Turner Qingwei Liu David Frakes Vikram D. Kodibagkar	1
+ PDF Chat	AnatomyNet: Deep learning for fast and fully automated whole‐volume segmentation of head and neck anatomy	2018	Wentao Zhu Yufang Huang Liang Zeng Xuming Chen Yong Liu Zhen Qian Nan Du Wei Fan Xiaohui Xie	1
+	The Liver Tumor Segmentation Benchmark (LiTS)	2022	Patrick Bilic Patrick Ferdinand Christ Hongwei Li Eugene Vorontsov Avi Ben-Cohen Georgios Kaissis Adi Szeskin Colin Jacobs Gabriel Efrain Humpire Mamani Gabriel Chartrand	1
+ PDF Chat	V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation	2016	Fausto Milletarì Nassir Navab Seyed‐Ahmad Ahmadi	1
+ PDF Chat	Focal Loss for Dense Object Detection	2017	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár	1
+	Lung Infection Quantification of COVID-19 in CT Images with Deep Learning	2020	Fei Shan Yaozong Gao Jun Wang Weiya Shi Nannan Shi Miaofei Han Zhong Xue Dinggang Shen Yuxin Shi	1
+	COVID-19 Chest CT Image Segmentation -- A Deep Convolutional Neural Network Solution	2020	Qingsen Yan Bo Wang Dong Gong Chuan Luo Wei Zhao Jianhu Shen Qinfeng Shi Shuo Jin Liang Zhang Zheng You	1
+ PDF Chat	Brain Tumor Segmentation Using an Ensemble of 3D U-Nets and Overall Survival Prediction Using Radiomic Features	2019	Xue Feng Nicholas J. Tustison Craig H. Meyer	1
+	Towards Efficient COVID-19 CT Annotation: A Benchmark for Lung and Infection Segmentation	2020	Jun Ma Yixin Wang Xingle An Cheng Ge Ziqi Yu Jianan Chen Qiongjie Zhu Guoqiang Dong Jian He Zhiqiang He	1
+	Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images	2020	Deng-Ping Fan Tao Zhou Ge-Peng Ji Yi Zhou Geng Chen Huazhu Fu Jianbing Shen Ling Shao	1
+ PDF Chat	Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search	2020	Dazhou Guo Dakai Jin Zhuotun Zhu Tsung‐Ying Ho Adam P. Harrison Chun-Hung Chao Jing Xiao Le Lü	1
+	BIAS: Transparent reporting of biomedical image analysis challenges	2020	Lena Maier‐Hein Annika Reinke Michal Kozubek Anne L. Martel Tal Arbel Matthias Eisenmann Allan Hanbury Pierre Jannin Henning Müller Sinan Onogur	1
+ PDF Chat	FocusNetv2: Imbalanced large and small organ segmentation with adversarial shape constraint for head and neck CT images	2020	Yunhe Gao Rui Huang Yiwei Yang Jie Zhang Kainan Shao Changjuan Tao Yuanyuan Chen Dimitris Metaxas Hongsheng Li Ming Chen	1
+	GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation	2020	Zhanwei Xu Yukun Cao Cheng Jin Guozhu Shao Xiaoqing Liu Jie Zhou Heshui Shi Jianjiang Feng	1
+ PDF Chat	Radiotherapy planning for glioblastoma based on a tumor growth model: improving target volume delineation	2014	Jan Unkelbach Bjoern Menze Ender Konukoğlu Florian Dittmann Matthieu Lê Nicholas Ayache Helen A. Shih	1
+ PDF Chat	nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation	2020	Fabian Isensee Paul F. Jaeger Simon Kohl Jens Petersen Klaus H. Maier‐Hein	1
+ PDF Chat	Automatic segmentation of gross target volume of nasopharynx cancer using ensemble of multiscale deep neural networks with spatial attention	2021	Haochen Mei Wenhui Lei Ran Gu Shan Ye Zhengwentai Sun Shichuan Zhang Guotai Wang	1
+ PDF Chat	Automatic segmentation of organs-at-risk from head-and-neck CT using separable convolutional neural network with hard-region-weighted loss	2021	Wenhui Lei Haochen Mei Zhengwentai Sun Shan Ye Ran Gu Huan Wang Rui Huang Shichuan Zhang Shaoting Zhang Guotai Wang	1
+ PDF Chat	Label-Free Segmentation of COVID-19 Lesions in Lung CT	2021	Qingsong Yao Li Xiao Peihang Liu S. Kevin Zhou	1
+ PDF Chat	Uncertainty-Driven Refinement of Tumor-Core Segmentation Using 3D-to-2D Networks with Label Uncertainty	2021	Richard McKinley Micheal Rebsamen Katrin Dätwyler Raphael Meier Piotr Radojewski Roland Wiest	1
+ PDF Chat	MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning	2021	Xiangde Luo Guotai Wang Tao Song Jingyang Zhang Michaël Aertsen Jan Deprest Sébastien Ourselin Tom Vercauteren Shaoting Zhang	1
+	CTV Delineation for High-Grade Gliomas: Is There Agreement With Tumor Cell Invasion Models?	2022	Wille Häger M. Lazzeroni Mehdi Astaraki Iuliana Toma-Daşu	1
+	Nonparametric Estimation from Incomplete Observations	1958	Edward L. Kaplan Paul Meier	1
+	CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation	2022	Reuben Dorent Aaron Kujawa Marina Ivory Spyridon Bakas Nicola Rieke Samuel Joutard Ben Glocker M. Jorge Cardoso Marc Modat Kayhan Batmanghelich	1
+ PDF Chat	WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image	2022	Xiangde Luo Wenjun Liao Jianghong Xiao Jieneng Chen Tao Song Xiaofan Zhang Kang Li Dimitris Metaxas Guotai Wang Shaoting Zhang	1
+	STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training	2023	Ziyan Huang Haoyu Wang Zhongying Deng Jin Ye Yanzhou Su Hui Sun Junjun He Yun Gu Lixu Gu Shaoting Zhang	1
+	MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification	2023	Dequan Wang Xiaosong Wang Lilong Wang Mengzhang Li Qian Da Xiaoqiang Liu Xiangyu Gao Jun Shen Junjun He Shen Tian	1
+	MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset	2023	Guotai Wang Jianghao Wu Xiangde Luo Xinglong Liu Kang Li Shaoting Zhang	1
+	TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images	2023	Jakob Wasserthal Hanns‐Christian Breit Manfred T. Meyer Maurice Pradella Daniel Hinck Alexander Sauter Tobias Heye Daniel T. Boll Joshy Cyriac Shan Yang	1
+ PDF Chat	Multi-atlas segmentation of biomedical images: A survey	2015	Juan Eugenio Iglesias Mert R. Sabuncu	1
+ PDF Chat	Dual-Reference Source-Free Active Domain Adaptation for Nasopharyngeal Carcinoma Tumor Segmentation across Multiple Hospitals	2024	Hongqiu Wang Jian Chen Shichen Zhang Yuan He Jinfeng Xu Mengwan Wu Jinlan He Wenjun Liao Xiangde Luo	1
+ PDF Chat	Growth dynamics of untreated glioblastomas in vivo	2015	Anne Line Stensjøen Ole Solheim Kjell Arne Kvistad Asta K. Håberg Øyvind Salvesen Erik Magnus Berntsen	1
+	The Interaction of Growth Rates and Diffusion Coefficients in a Three-dimensional Mathematical Model of Gliomas	1997	Patricia K. Burgess Paul M. Kulesa James D. Murray Ellsworth C. Alvord	1
+	A mathematical model of glioma growth: the effect of extent of surgical resection	1996	Diana E. Woodward James A. Cook Philippe Tracqui G. C. Cruywagen J. D. Murray Ellsworth C. Alvord	1
+	Quantifying the Role of Angiogenesis in Malignant Progression of Gliomas: <i>In Silico</i> Modeling Integrates Imaging and Histology	2011	Kristin R. Swanson Russell C. Rockne Jonathan Claridge Mark A. J. Chaplain Ellsworth C. Alvord Alexander R.A. Anderson	1
+ PDF Chat	A mathematical modelling tool for predicting survival of individual patients following resection of glioblastoma: a proof of principle	2007	Kristin R. Swanson Robert Rostomily Ellsworth C. Alvord	1
+ PDF Chat	Realistic simulation of the 3-D growth of brain tumors in MR images coupling diffusion with biomechanical deformation	2005	Olivier Clatz Maxime Sermesant Pierre‐Yves Bondiau Hervé Delingette Simon K. Warfield Grégoire Malandain N. Ayache	1