• 12 Citations
20162019
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Personal profile

Research profile

Farhad Ghazvinian Zanjani received a Master Degree in Biomedical Engineering from Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran. He also received a Master Degree in Computer Science (with honors), specializing in Machine Learning from Radboud University Nijmegen, Nijmegen, The Netherlands. He has worked as an AI researcher (CTO) in a company for a few years. Since September 2016, he is with Video Coding and Architectures group at Eindhoven University of Technology. His research interests include machine learning, artificial neural networks, and image processing.

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Research Output 2016 2019

  • 12 Citations
  • 10 Conference contribution
  • 4 Article
  • 1 Paper

Cancer detection in mass spectrometry imaging data by dilated convolutional neural networks

van Kersbergen, J., Ghazvinian Zanjani, F., Zinger, S., van der Sommen, F., Balluff, B., Vos, D. R. N., Ellis, S. R., Heeren, R. M. A., Lucas, M., Marquering, H. A., Jansen, I., Savci-Heijink, C. D., de Bruin, D. M. & de With, P. H. N., 2019, (Accepted/In press) Medical Imaging 2019: Digital Pathology. Tomaszewski, J. E. & Ward, A. D. (eds.). SPIE, 8 p. 1095601. (Proceedings of SPIE; vol. 10956)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Mass spectrometry
Tumors
Neural networks
Imaging techniques
Molecular imaging

Cancer detection in mass spectrometry imaging data by recurrent neural networks

Ghazvinian Zanjani, F., Panteli, A., Zinger, S., van der Sommen, F., Tan, T., Balluff, B., Vos, D. R. N., Ellis, S. R., Heeren, R. M. A., Lucas, M., Marquering, H. A., Jansen, I., Savci-Heijink, C. D., de Bruin, D. M. & de With, P. H. N., 2019, (Accepted/In press) 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Deep learning approach to semantic segmentation in 3D point cloud intra-oral scans of teeth

Ghazvinian Zanjani, F., Anssari Moin, D., Verheij, B., Claessen, F., Cherici, T., Tan, T. & de With, P. H. N., 2019, (Accepted/In press) International Conference on Medical Imaging with Deep Learning (MIDL).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)

From detection of individual metastases to classification of lymph node status at the patient level: the CAMELYON17 challenge

Bandi, P., Geessink, O., Manson, Q., van Dijk, M., Balkenhol, M., Hermsen, M., Bejnordi, B. E., Lee, B., Paeng, K., Zhong, A., Li, Q., Zanjani, F. G., Zinger, S., Fukuta, K., Komura, D., Ovtcharov, V., Cheng, S., Zeng, S., Thagaard, J., Dahl, A. B. & 16 othersLin, H., Chen, H., Jacobsson, L., Hedlund, M., Cetin, M., Halici, E., Jackson, H., Chen, R., Both, F., Franke, J., Kusters-Vandevelde, H., Vreuls, W., Bult, P., van Ginneken, B., van der Laak, J. & Litjens, G., Feb 2019, In : IEEE Transactions on Medical Imaging. 38, 2, p. 550-56 11 p.

Research output: Contribution to journalArticleAcademicpeer-review

Lymph Nodes
Neoplasm Metastasis
Neural networks
Network architecture
Websites

Impact of JPEG 2000 Compression on Deep Convolutional Neural Networks for Metastatic Cancer Detection in Histopathological Images

Ghazvinian Zanjani, F., Zinger, S., Piepers, B., Mahmoudpour, S., Schelkens, P. & de With, P., 2019, (Accepted/In press) In : Journal of Medical Imaging.

Research output: Contribution to journalArticleAcademicpeer-review

Prizes

IJCARS MICCAI 2017 Special Issue Best Paper Award

Arash Pourtaherian (Recipient) & Farhad Ghazvinian Zanjani (Recipient), 19 Sep 2018

Recognition: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific