Publications

Journal articles

  1. Y. Sun, C. Shan, T. Tan, T. Tong, W. Wang, A. Pourtaherian, P. H. N. de With, “Detecting discomfort in infants through facial expressions,” Physiological Measurement, vol. 40, no. 11, 2019.    
  2. H. Yang, C. Shan, A. Pourtaherian, A. F. Kolen, and P. H. N. de With, "Catheter segmentation in three-dimensional ultrasound images by feature fusion and model fitting," Journal of Medical Imaging, vol. 6, no. 1, 2019.    
  3. A. Pourtaherian, F. Ghazvinian Zanjani, S. Zinger, N. Mihajlovic, G. C. Ng, H. H. M. Korsten, and P. H. N. de With, “Robust and semantic needle detection in 3D ultrasound using orthogonal-plane convolutional neural networks,” Int. J. Computer Assisted Radiology and Surgery (IJCARS), vol. 13, no. 9, pp. 1311–1323, 2018.    
  4. Y. Sun, C. Shan, T. Tan, X. Long, A. Pourtaherian, S. Zinger, P. H. N. de With, “Video-based discomfort detection for infants,” Machine Vision and Applications, 2018.  
  5. A. Pourtaherian, H. J. Scholten, C. J. Kusters, S. Zinger, N. Mihajlovic, A. F. Kolen, F. Zou, G. C. Ng, H. H. M. Korsten, and P. H. N. de With, “Medical instrument detection in 3-dimensional ultrasound data volumes,” IEEE Trans. Medical Imaging (TMI), vol. 36, no. 8, pp. 1664–1675, 2017.    
  6. H. J. Scholten, A. Pourtaherian, N. Mihajlovic, H. H. M. Korsten, and R. A. Bouwman, “Improving needle tip identification during ultrasound-guided procedures in anaesthetic practice,” Anaesthesia, vol. 72, no. 7, pp. 889–904, 2017.    

International conference proceedings

  1. M. A. Khoei, A. Yousefzadeh, A. Pourtaherian, O. Moreira, J. Tapson, “SpArNet: Sparse Asynchronous Neural Network execution for energy efficient inference,” in Proc. IEEE Conf. Artificial Intelligence Circuits Systems (AICAS), Genova, Italy, 2020.  
  2. C. Li, A. Pourtaherian, W. E. A. Tjon Ten, P. H. N. de With, “Infant monitoring system for real-time and remote discomfort detection,” in Proc. IEEE Conf. IEEE Int. Conf. Consumer Electronics (ICCE), Las Vegas, NV, USA, 2020.  
  3. F. Ghazvinian Zanjani, D. Anssari Moin, F. Claessen, T. Cherici, S. Parinussa, A. Pourtaherian, S. Zinger, N., and P. H. N. de With, “Mask-MCNet: instance segmentation in 3D point cloud of intra-oral scans,” in Proc. Conf. Medical Image Computing and Computer-Assisted Intervention (MICCAI), Shenzhen, China.  
  4. A. Pourtaherian, N. Mihajlovic, F. Ghazvinian Zanjani, S. Zinger, G. C. Ng, H. M. M. Korsten, P. H. N. de With, “Localization of partially visible needles in 3D ultrasound using dilated CNNs," in Proc. IEEE Int. Ultrasonics Symp. (IUS), Kobe, Japan, 2018.  
  5. C. Li, A. Pourtaherian, W. E. Tjon A Ten, P. H. N. de With, "Enhanced face alignment using an unsupervised roll estimation initialization," SPIE Int. Conf. Machine Vision (ICMV), Munich, Germany, 2018, p. 110412C.  
  6. F. Ghazvinian Zanjani, A. Pourtaherian, X. Tang, S. Zinger, N. Mihajlovic, G. C. Ng, H. H. M. Korsten, and P. H. N. de With, “Coherent needle detection in ultrasound volumes using 3D conditional random fields,” in Proc. SPIE Medical Imaging: Image-Guided Procedures, Robotic Interventions, and Modeling, Houston, TX, USA, 2018, p. 105760W.  
  7. H. Yang, A. Pourtaherian, C. Shan, A. F. Kolen, and P. H. N. de With, “Feature study on catheter detection in three-dimensional ultrasound,” in Proc. SPIE Medical Imaging: Image-Guided Procedures, Robotic Interventions, and Modeling, Houston, TX, USA, 2018, p. 105760V.  
  8. A. Pourtaherian, F. Ghazvinian Zanjani, S. Zinger, N. Mihajlovic, G. C. Ng, H. H. M. Korsten, and P. H. N. de With, “ Improving needle detection in 3D ultrasound using orthogonal-plane convolutional networks,” in Proc. Conf. Medical Image Computing and Computer-Assisted Intervention (MICCAI), Quebec City, Quebec, Canada, 2017, pp. 610–618.  
  9. A. Pourtaherian, N. Mihajlovic, S. Zinger, H. H. M. Korsten, J. Huang, G. C. Ng, and P. H. N. de With, “ Automated in-plane visualization of steep needles from 3D ultrasound data volumes,” in Proc. IEEE Int. Ultrasonics Symp. (IUS), Tours, France, 2016.  
  10. A. Pourtaherian, S. Zinger, N. Mihajlovic, P. H. N. deWith, J. Huang, G. C. Ng, and H. H. M. Korsten, “Multi-resolution Gabor wavelet feature extraction for needle detection in 3D ultrasound,” in Proc. SPIE Int. Conf. Machine Vision (ICMV), Barcelona, Spain, 2015, p. 987513.  
  11. A. Pourtaherian, S. Zinger, P. H. N. de With, H. H. M. Korsten, and N. Mihajlovic, “Benchmarking of state-of-the-art needle detection algorithms in 3D ultrasound data volumes,” in Proc. SPIE Medical Imaging: Image-Guided Procedures, Robotic Interventions, and Modeling, Orland, FL, USA, 2015, p. 94152B.  
  12. H. Javan Hemmat, A. Pourtaherian, Y. Bondarau, and P. H. N. de With, “Fast planar segmentation of depth images,” in Proc. SPIE Image Processing: Algorithms and Systems, San Francisco, CA, USA, 2015, p. 93990I.  
  13. A. Pourtaherian, S. Zinger, P. H. N. de With, H. H. M. Korsten, and N. Mihajlovic, “Gabor-based needle detection and tracking in three-dimensional ultrasound data volumes,” in Proc. IEEE Int. Conf. Image Processing (ICIP), Paris, France, 2014, pp. 3602–3606.  
  14. A. Pourtaherian, R. G. J. Wijnhoven, and P. H. N. de With, “TROD: tracking with occlusion handling and drift correction,” in Proc. IEEE Int. Conf. Image Processing (ICIP), Melbourne, Australia, 2013, pp. 2440–2444.  
  15.  A. Izadian, A. Pourtaherian, and S. Motahari, “Basic model and governing equation of solar cells used in power and control applications.,” Proc. IEEE Energy Conversion Congress and Exposition (ECCE), Raleigh, North Carolina, 2012, pp. 1483-1488.  

Patent Applications

  1. “An apparatus and method for detecting a tool,” Patent Application WO2017097682, Dec. 5, 2016.
  2. “An apparatus and method for detecting an interventional tool,” Patent Application WO2018050885, Sep. 18, 2017.
  3. “Method for needle guidance using ultrasound imaging,” Patent Application, 2018.
  4. “Message-based processing system and method of operating the same,” Patent Application, 2019.