TROD: Tracking with occlusion handling and drift correction. - Arash Pourtaherian; Rob G. J. Wijnhoven; Peter H. N. de With (ICIP, 2013)

Gabor-based needle detection and tracking in three-dimensional ultrasound data volumes. - Arash Pourtaherian; Svitlana Zinger; Peter H. N. de With; Hendrikus H. M. Korsten; Nenad Mihajlovic (ICIP, 2014)

Multi-resolution Gabor wavelet feature extraction for needle detection in 3D ultrasound. - Arash Pourtaherian; Svitlana Zinger; Nenad Mihajlovic; Peter H. N. de With; Jinfeng Huang; Gary C. Ng; Hendrikus H. M. Korsten (ICMV, 2015)

Fast planar segmentation of depth images. - Hani Javan Hemmat; Arash Pourtaherian; Egor Bondarev; Peter H. N. de With (Image Processing: Algorithms and Systems, 2015)

Benchmarking of state-of-the-art needle detection algorithms in 3D ultrasound data volumes. - Arash Pourtaherian; Svitlana Zinger; Peter H. N. de With; Hendrikus H. M. Korsten; Nenad Mihajlovic (Image-Guided Procedures, 2015)

Improving Needle Detection in 3D Ultrasound Using Orthogonal-Plane Convolutional Networks. - Arash Pourtaherian; Farhad Ghazvinian Zanjani; Svitlana Zinger; Nenad Mihajlovic; Gary C. Ng; Hendrikus H. M. Korsten; Peter H. N. de With (MICCAI (2), 2017)

Medical Instrument Detection in 3-Dimensional Ultrasound Data Volumes. - Arash Pourtaherian; Harm J. Scholten; Lieneke Kusters; Svitlana Zinger; Nenad Mihajlovic; Alexander F. Kolen; Fei Zuo; Gary C. Ng; Hendrikus H. M. Korsten; Peter H. N. de With (IEEE Trans. Medical Imaging, 2017)

Enhanced face alignment using an unsupervised roll estimation initialization. - Cheng Li; Arash Pourtaherian; Walther E. Tjon a Ten; Peter H. N. de With (ICMV, 2018)

Feature study on catheter detection in three-dimensional ultrasound. - Hongxu Yang; Arash Pourtaherian; Caifeng Shan; Alexander F. Kolen; Peter H. N. de With (Image-Guided Procedures, 2018)

Coherent needle detection in ultrasound volumes using 3D conditional random fields. - Farhad Ghazvinian Zanjani; Arash Pourtaherian; Xikai Tang; Svitlana Zinger; Nenad Mihajlovic; Gary C. Ng; Hendrikus H. M. Korsten; Peter H. N. de With (Image-Guided Procedures, 2018)

Robust and semantic needle detection in 3D ultrasound using orthogonal-plane convolutional neural networks. - Arash Pourtaherian; Farhad Ghazvinian Zanjani; Svitlana Zinger; Nenad Mihajlovic; Gary C. Ng; Hendrikus H. M. Korsten; Peter H. N. de With (Int. J. Comput. Assist. Radiol. Surg., 2018)

Mask-MCNet: Instance Segmentation in 3D Point Cloud of Intra-oral Scans. - Farhad Ghazvinian Zanjani; David Anssari Moin; Frank Claessen; Teo Cherici; Sarah Parinussa; Arash Pourtaherian; Svitlana Zinger; Peter H. N. de With (MICCAI (5), 2019)

Robust discomfort detection for infants using an unsupervised roll estimation. - Cheng Li; Arash Pourtaherian; Walther E. Tjon a Ten; Peter H. N. de With (Image Processing, 2019)

Video-based discomfort detection for infants. - Yue Sun; Caifeng Shan; Tao Tan 002; Xi Long; Arash Pourtaherian; Svitlana Zinger; Peter H. N. de With (Mach. Vis. Appl., 2019)

SpArNet: Sparse Asynchronous Neural Network execution for energy efficient inference. - Mina A. Khoei; Amirreza Yousefzadeh; Arash Pourtaherian; Orlando Moreira; Jonathan Tapson (AICAS, 2020)

Infant Monitoring System for Real-Time and Remote Discomfort Detection. - C. Li; Arash Pourtaherian; Walther E. Tjon a Ten; Peter H. N. de With (ICCE, 2020)

Infant Monitoring System for Real-Time and Remote Discomfort Detection. - Cheng Li; Arash Pourtaherian; Lonneke van Onzenoort; Walther E. Tjon a Ten; Peter H. N. de With (IEEE Trans. Consumer Electron., 2020)

How to exploit sparsity in RNNs on event-driven architectures. - Jarno Brils; Luc Waeijen; Arash Pourtaherian (SCOPES, 2021)

Automated Infant Monitoring based on R-CNN and HMM. - Cheng Li; Arash Pourtaherian; Lonneke van Onzenoort; Peter H. N. de With (VISIGRAPP (5: VISAPP), 2021)

Dual CNN-based Face Tracking Algorithm for an Automated Infant Monitoring System. - Cheng Li; Genyu Song; Arash Pourtaherian; Peter H. N. de With (VISIGRAPP (5: VISAPP), 2021)

Mask-MCNet: Tooth instance segmentation in 3D point clouds of intra-oral scans. - Farhad Ghazvinian Zanjani; Arash Pourtaherian; Svitlana Zinger; David Anssari Moin; Frank Claessen; Teo Cherici; Sarah Parinussa; Peter H. N. de With (Neurocomputing, 2021)

Infant Facial Expression Analysis: Towards a Real-Time Video Monitoring System Using R-CNN and HMM. - Cheng Li; Arash Pourtaherian; Lonneke van Onzenoort; Walther E. Tjon a Ten; Peter H. N. de With (IEEE J. Biomed. Health Informatics, 2021)

ARTS: An adaptive regularization training schedule for activation sparsity exploration. - Zeqi Zhu; Arash Pourtaherian; Luc Waeijen; Lennart Bamberg; Egor Bondarev; Orlando Moreira (DSD, 2022)

STAR: Sparse Thresholded Activation under partial-Regularization for Activation Sparsity Exploration. - Zeqi Zhu; Arash Pourtaherian; Luc Waeijen; Egor Bondarev; Orlando Moreira (CVPR Workshops, 2023)

NimbleAI: Towards Neuromorphic Sensing-Processing 3D-integrated Chips. - Xabier Iturbe; Nassim Abderrahmane; Jaume Abella 001; Sergi Alcaide; Eric Beyne; Henri-Pierre Charles; Christelle Charpin-Nicolle; Lars Chittka; Angélica Dávila; Arne Erdmann; Carles Estrada; Ander Fernández; et al. (DATE, 2023)

Synapse Compression for Event-Based Convolutional-Neural-Network Accelerators. - Lennart Bamberg; Arash Pourtaherian; Luc Waeijen; Anupam Chahar; Orlando Moreira (IEEE Trans. Parallel Distributed Syst., 2023)

ELSE: Efficient Deep Neural Network Inference Through Line-Based Sparsity Exploration. - Zeqi Zhu; Alberto García-Ortiz; Luc Waeijen; Egor Bondarev; Arash Pourtaherian; Orlando Moreira (ECCV (11), 2024)

CATS: Combined Activation and Temporal Suppression for Efficient Network Inference. - Zeqi Zhu; Arash Pourtaherian; Luc Waeijen; Ibrahim Batuhan Akkaya; Egor Bondarev; Orlando Moreira (WACV, 2024)

MEET: Towards Memory-Efficient Temporal Sparse Deep Neural Networks. - Zeqi Zhu; Ibrahim Batuhan Akkaya; Luc Waeijen; Egor Bondarev; Arash Pourtaherian; Orlando Moreira (CVPR, 2025)