Farhad Ghazvinian Zanjani, MSc

Department of Electrical Engineering, Center for Care & Cure Technology Eindhoven
Former Doctoral Candidate, Department of Electrical Engineering, Video Coding & Architectures

EmailF.Ghazvinian.Zanjani@tue.nl

53 Citations

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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

53 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 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., Apr 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019). Piscataway: Institute of Electrical and Electronics Engineers, p. 674-678 5 p. 8759571

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-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 proceeding › Conference contribution › Academic › peer-review

Open Access

File

Semantics

Dentistry

Discriminators

Arches

Labels

16 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 journal › Article › Academic › peer-review

Lymph Nodes

Neoplasm Metastasis

Neural networks

Network architecture

Websites

24 Downloads (Pure)