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Fingerprint Dive into the research topics where Farhad Ghazvinian Zanjani is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Gaussian Mixture Model Mathematics
Normalization Mathematics
Color Constancy Mathematics
Gradient Descent Mathematics
Probabilistic Approach Mathematics
Multivariate Distribution Mathematics
Gaussian distribution Mathematics
Tuning Mathematics

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Research Output 2016 2019

  • 40 Citations
  • 11 Conference contribution
  • 4 Article
  • 1 Paper
2 Downloads (Pure)

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 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, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019). Piscataway: Institute of Electrical and Electronics Engineers, p. 674-678 8759571

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

Recurrent neural networks
Mass spectrometry
Imaging techniques
Computer aided diagnosis
Data storage equipment

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, International Conference on Medical Imaging with Deep Learning (MIDL). PMLR, p. 557-571 (Proceedings of Machine Learning Research; vol. 102).

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

Open Access
File
Semantics
Dentistry
Discriminators
Arches
Labels
13 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 others, Lin, 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. 550-560 11 p., 8447230.

Research output: Contribution to journalArticleAcademicpeer-review

Lymph Nodes
Neoplasm Metastasis
Neural networks
Network architecture
Websites
21 Downloads (Pure)

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., 1 Apr 2019, In : Journal of Medical Imaging. 6, 2, 9 p., 027501.

Research output: Contribution to journalArticleAcademicpeer-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) & F. Ghazvinian Zanjani (Recipient), 19 Sep 2018

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