Research Output per year
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 2016, he is with Video Coding and Architectures group at Eindhoven University of Technology. His research interests include machine learning, artificial neural networks, and signal/image processing.
Network
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Research Output 2016 2019
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., 18 Mar 2019, 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 proceeding › Conference contribution › Academic › peer-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 proceeding › Conference contribution › Academic › peer-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 proceeding › Conference contribution › Academic › peer-review
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 others, Feb 2019, In : IEEE Transactions on Medical Imaging. 38, 2, p. 550-56 11 p.Research output: Contribution to journal › Article › Academic › peer-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., 24 Apr 2019, In : Journal of Medical Imaging. 6, 2, 9 p., 027501Research output: Contribution to journal › Article › Academic › peer-review
Open Access
File
Neural Networks (Computer)
Neoplasms
Telemedicine
Information Storage and Retrieval
Hematoxylin
Prizes
IJCARS MICCAI 2017 Special Issue Best Paper Award
Arash Pourtaherian (Recipient) & Farhad Ghazvinian Zanjani (Recipient), 19 Sep 2018
Recognition: Other › Career, activity or publication related prizes (lifetime, best paper, poster etc.) › Scientific
Second place in the CAMELYON17 challenge for metastases detection in digital histopathological slides
Farhad Ghazvinian Zanjani (Recipient), Sveta Zinger (Recipient) & Peter de With (Recipient), 2017
Recognition: Other › Scientific
Second place in the GIANA challenge for detection and localization of Angiodysplasia in wireless caplule endoscopy
Joost van der Putten (Recipient) & Farhad Ghazvinian Zanjani (Recipient), Feb 2017
Recognition: Other › Discipline related › Scientific