Nastaran Mohammadian Rad

According to our database, Nastaran Mohammadian Rad authored at least 11 papers between 2015 and 2022.

Collaborative distances:

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

2022

PROMISSING: Pruning Missing Values in Neural Networks.

Seyed Mostafa Kia, Nastaran Mohammadian Rad, Daniel van Opstal, Bart van Schie, Andre F. Marquand, Josien P. W. Pluim, Wiepke Cahn, Hugo G. Schnack

CoRR, 2022

HNT-AI: An Automatic Segmentation Framework for Head and Neck Primary Tumors and Lymph Nodes in FDG- PET/CT Images.

Zohaib Salahuddin, Yi Chen, Xian Zhong, Nastaran Mohammadian Rad, Henry C. Woodruff, Philippe Lambin

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022

2021

Advanced Ultrasound and Photoacoustic Imaging in Cardiology.

Min Wu, Navchetan Awasthi, Nastaran Mohammadian Rad, Josien P. W. Pluim, Richard G. P. Lopata

Sensors, 2021

Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge.

Solveig K. Sieberts, Jennifer Schaff, Marlena Duda, Bálint Á Pataki, Ming Sun, Phil Snyder, Jean-Francois Daneault, Federico Parisi, Gianluca Costante, Udi Rubin, Peter Banda, Yooree Chae, Elias Chaibub Neto, Earl Ray Dorsey, Zafer Aydin, Aipeng Chen, Laura L. Elo, Carlos Espino, Enrico Glaab, Ethan Goan, Fatemeh Noushin Golabchi, Yasin Görmez, Maria K. Jaakkola, Jitendra Jonnagaddala, Riku Klén, Dongmei Li, Christian McDaniel, Dimitri Perrin, Thanneer M. Perumal, Nastaran Mohammadian Rad, Erin Rainaldi, Stefano Sapienza, Patrick Schwab, Nikolai Shokhirev, Mikko S. Venäläinen, Gloria Vergara-Diaz, Yuqian Zhang, Avner G. S. Abrami, Aditya Adhikary, Carla Agurto, Sherry Bhalla, Halil Ibrahim Bilgin, Vittorio Caggiano, Jun Cheng, Eden Deng, Qiwei Gan, Rajan Girsa, Zhi Han, Stephen Heisig, Kun Huang, Samad Jahandideh, Wolfgang Kopp, Christoph F. Kurz, Gregor Lichtner, Raquel Norel, G. P. S. Raghava, Tavpritesh Sethi, Nicholas Shawen, Vaibhav Tripathi, Matthew Tsai, Tongxin Wang, Yi Wu, Jie Zhang, Xinyu Zhang, Yuanjia Wang, Yuanfang Guan, Daniela Brunner, Paolo Bonato, Lara M. Mangravite, Larsson Omberg

npj Digit. Medicine, 2021

Hybrid Deep Neural Network for Brachial Plexus Nerve Segmentation in Ultrasound Images.

Juul P. A. van Boxtel, Vincent R. J. Vousten, Josien P. W. Pluim, Nastaran Mohammadian Rad

Proceedings of the 29th European Signal Processing Conference, 2021

2019

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.

Nastaran Mohammadian Rad

PhD thesis, 2019

2018

Deep learning for automatic stereotypical motor movement detection using wearable sensors in autism spectrum disorders.

Nastaran Mohammadian Rad, Seyed Mostafa Kia, Calogero Zarbo, Twan van Laarhoven, Giuseppe Jurman, Paola Venuti, Elena Marchiori, Cesare Furlanello

Signal Process., 2018

Novelty Detection using Deep Normative Modeling for IMU-Based Abnormal Movement Monitoring in Parkinson's Disease and Autism Spectrum Disorders.

Nastaran Mohammadian Rad, Twan van Laarhoven, Cesare Furlanello, Elena Marchiori

Sensors, 2018

2016

Stereotypical Motor Movement Detection in Dynamic Feature Space.

Nastaran Mohammadian Rad, Seyed Mostafa Kia, Calogero Zarbo, Giuseppe Jurman, Paola Venuti, Cesare Furlanello

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Applying Deep Learning to Stereotypical Motor Movement Detection in Autism Spectrum Disorders.

Nastaran Mohammadian Rad, Cesare Furlanello

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015

Convolutional Neural Network for Stereotypical Motor Movement Detection in Autism.

Nastaran Mohammadian Rad, Andrea Bizzego, Seyed Mostafa Kia, Giuseppe Jurman, Paola Venuti, Cesare Furlanello

CoRR, 2015