Nastaran Mohammadian Rad

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Cesare FurlanelloHK3 Lab (Rovereto, Italy) & LIGHT Center (Brescia, Italy)Patvirtintas el. paštas hk3lab.ai
Paola VenutiFull Professor of Psychopathology, University of TrentoPatvirtintas el. paštas unitn.it
Giuseppe JurmanHumanitas University, Milan & Fondazione Bruno Kessler, Trento, ItalyPatvirtintas el. paštas fbk.eu
Elena MarchioriRadboud University (Emeritus professor)Patvirtintas el. paštas cs.ru.nl
Twan van LaarhovenRadboud University NijmegenPatvirtintas el. paštas cs.ru.nl
Josien PluimProfessor of Medical Image Analysis, Eindhoven University of Technology / UMC UtrechtPatvirtintas el. paštas tue.nl
Richard LopataPatvirtintas el. paštas tue.nl
Philippe LambinProfessor of Precision Medicine, Maastricht University & Scientist ULBPatvirtintas el. paštas maastrichtuniversity.nl
min wuTU EindhovenPatvirtintas el. paštas tue.nl
Henry C WoodruffThe D-Lab, Department of Precision Medicine, Maastricht UniversityPatvirtintas el. paštas maastrichtuniversity.nl
Navchetan AwasthiAssistant Professor, University of AmsterdamPatvirtintas el. paštas uva.nl
Zohaib SalahuddinPostdoctoral Researcher, Maastricht UniversityPatvirtintas el. paštas maastrichtuniversity.nl
Yi ChenPhD Candidate, Department of Precision Medicine, Maastricht UniversityPatvirtintas el. paštas maastrichtuniversity.nl
Xian ZhongVisiting scholar in Maastricht UniversityPatvirtintas el. paštas mail3.sysu.edu.cn
Shruti Atul MaliPhD student, Maastricht UniversityPatvirtintas el. paštas maastrichtuniversity.nl
Amir GholampourEindhoven university of technologyPatvirtintas el. paštas tue.nl
Cary OberijePatvirtintas el. paštas maastrichtuniversity.nl
Yousif WidaatallaPhD, The D-Lab, Maastricht UniversityPatvirtintas el. paštas maastrichtuniversity.nl
Iva HalilajMaastricht UniversityPatvirtintas el. paštas maastrichtuniversity.nl
Anke WindMaastricht UniversityPatvirtintas el. paštas maastrichtuniversity.nl

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Nastaran Mohammadian Rad

Maastricht University

Patvirtintas el. paštas maastrichtuniversity.nl - Pagrindinis puslapis

Machine Learning Deep Learning Medical Image Analysis Ubiquitous Computing


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Deep learning for automatic stereotypical motor movement detection using wearable sensors in autism spectrum disorders NM Rad, SM Kia, C Zarbo, T van Laarhoven, G Jurman, P Venuti, ... Signal Processing 144, 180-191, 2018	108	2018
Novelty detection using deep normative modeling for imu-based abnormal movement monitoring in parkinson’s disease and autism spectrum disorders N Mohammadian Rad, T Van Laarhoven, C Furlanello, E Marchiori Sensors 18 (10), 3533, 2018	84	2018
Applying Deep Learning to Stereotypical Motor Movement Detection in Autism Spectrum Disorders NM Rad, C Furlanello International Conference on Data Mining (ICDM 2016), 2016	80	2016
Crowdsourcing digital health measures to predict Parkinson’s disease severity: the Parkinson’s Disease Digital Biomarker DREAM Challenge SK Sieberts, J Schaff, M Duda, BÁ Pataki, M Sun, P Snyder, JF Daneault, ... NPJ digital medicine 4 (1), 53, 2021	53	2021
Convolutional neural network for stereotypical motor movement detection in autism NM Rad, A Bizzego, SM Kia, G Jurman, P Venuti, C Furlanello arXiv preprint arXiv:1511.01865, 2015	44	2015
Advanced ultrasound and photoacoustic imaging in cardiology M Wu, N Awasthi, NM Rad, JPW Pluim, RGP Lopata Sensors 21 (23), 7947, 2021	27	2021
Stereotypical Motor Movement Detection in Dynamic Feature Space NM Rad, SM Kia, C Zarbo, G Jurman, P Venuti, C Furlanello International Conference on Data Mining (ICDM 2016), 2016	23	2016
From head and neck tumour and lymph node segmentation to survival prediction on PET/CT: An end-to-end framework featuring uncertainty, fairness, and multi-region multi-modal … Z Salahuddin, Y Chen, X Zhong, HC Woodruff, NM Rad, SA Mali, ... Cancers 15 (7), 1932, 2023	17	2023
Hybrid deep neural network for brachial plexus nerve segmentation in ultrasound images J Van Boxtel, V Vousten, J Pluim, NM Rad 2021 29th European Signal Processing Conference (EUSIPCO), 1246-1250, 2021	14	2021
HNT-AI: an automatic segmentation framework for head and neck primary tumors and lymph nodes in FDG-PET/CT images Z Salahuddin, Y Chen, X Zhong, NM Rad, HC Woodruff, P Lambin 3D Head and Neck Tumor Segmentation in PET/CT Challenge, 212-220, 2022	11	2022
Promissing: Pruning missing values in neural networks SM Kia, NM Rad, D van Opstal, B van Schie, AF Marquand, J Pluim, ... arXiv preprint arXiv:2206.01640, 2022	4	2022
Machine learning for healthcare using wearable sensors NM Rad, E Marchiori Digital Health, 137-149, 2021	4	2021
Deep learning assisted classification of spectral photoacoustic imaging of carotid plaques C Cano, NM Rad, A Gholampour, M van Sambeek, J Pluim, R Lopata, ... Photoacoustics 33, 100544, 2023	3	2023
Deep Learning for Abnormal Movement Detection using Wearable Sensors: Case Studies on Stereotypical Motor Movements in Autism and Freezing of Gait in Parkinson's Disease. NM Rad	3	2019
Open source repository and online calculator of prediction models for diagnosis and prognosis in oncology I Halilaj, C Oberije, A Chatterjee, Y van Wijk, NM Rad, P Galganebanduge, ... Biomedicines 10 (11), 2679, 2022	2	2022
Deep Learning-Based Methods for Photoacoustic Imaging Reconstruction: Concepts, Promises, Pitfalls, and Futures A Gholampour, KJ Francis, M Wu, NM Rad, RGP Lopata, N Awasthi Biomedical Photoacoustics: Technology and Applications, 155-177, 2024		2024
Concepts, Promises, Pitfalls, and Futures NM Rad, RGP Lopata, N Awasthi Biomedical Photoacoustics: Technology and Applications, 155, 2024		2024
Prognostic Models for Colorectal Cancer Recurrence using Carcinoembryonic Antigen Measurements N Mohammadian Rad, O Sosef, J Seegers, LJ Koolen, JJ Hoofwijk, ... Frontiers in Oncology 14, 1368120, 2024		2024
Open-Source Repository and Online Calculator of Prediction Models for Diagnosis and Prognosis in Oncology: Biomedicines 2022, 10, 2679 I Halilaj, C Oberije, A Chatterjee, Y van Wijk, NM Rad, P Galganebanduge, ... s Note: MDPI stays neu-tral with regard to jurisdictional claims in …, 2022		2022
Crowdsourcing digital health measures to predict Parkinson's disease severity SK Sieberts, J Schaff, M Duda, BÁ Pataki, M Sun, P Snyder, JF Daneault, ...		2021

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