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State-of-the-art object detection algorithms for small lesion detection in PSMA PET: use of rotational maximum intensity projection (MIP) images.

A. Toosi, S. Harsini, S. Ahamed, F. Yousefirizi, F. Bénard, C. Uribe, and A. Rahmim. Medical Imaging: Image Processing, volume 12464 of SPIE Proceedings, SPIE, (2023)

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Amirhosein Taherkordi

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GAINE - tanGible augmented interaction for edutainment.A. Bottino, A. Martina, and A. Toosi. INTETAIN, page 207-216. IEEE, (2015)GAINE - A portable framework for the development of edutainment applications based on multitouch and tangible interaction.A. Bottino, A. Martina, F. Strada, and A. Toosi. Entertain. Comput., (2016)Tensor Radiomics: Paradigm for Systematic Incorporation of Multi-Flavoured Radiomics Features.A. Rahmim, A. Toosi, M. Salmanpour, N. Dubljevic, I. Janzen, I. Shiri, M. Ramezani, R. Yuan, C. Ho, H. Zaidi and 3 other author(s). CoRR, (2022)Generative Adversarial Networks for Anomaly Detection in Biomedical Imaging: A Study on Seven Medical Image Datasets.M. Esmaeili, A. Toosi, A. Roshanpoor, V. Changizi, M. Ghazisaeedi, A. Rahmim, and M. Sabokrou. IEEE Access, (2023)Feature Fusion for Fingerprint Liveness Detection: a Comparative Study.A. Toosi, A. Bottino, S. Cumani, P. Negri, and P. Sottile. IEEE Access, (2017)On Multiview Analysis for Fingerprint Liveness Detection.A. Toosi, S. Cumani, and A. Bottino. CIARP, volume 9423 of Lecture Notes in Computer Science, page 143-150. Springer, (2015)A brief history of AI: how to prevent another winter (a critical review).A. Toosi, A. Bottino, B. Saboury, E. Siegel, and A. Rahmim. CoRR, (2021)Feature Fusion for Fingerprint Liveness Detection.A. Toosi. Polytechnic University of Turin, Italy, (2018)base-search.net (ftpoltorinoiris:oai:iris.polito.it:11583/2711594).CNN Patch-Based Voting for Fingerprint Liveness Detection.A. Toosi, S. Cumani, and A. Bottino. IJCCI, page 158-165. SciTePress, (2017)Assessing Transfer Learning on Convolutional Neural Networks for Patch-Based Fingerprint Liveness Detection.A. Toosi, S. Cumani, and A. Bottino. IJCCI (Selected Papers), volume 829 of Studies in Computational Intelligence, page 263-279. Springer, (2017)

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State-of-the-art object detection algorithms for small lesion detection in PSMA PET: use of rotational maximum intensity projection (MIP) images.

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Amirhosein Taherkordi

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Disambiguation of "Toosi, Amirhosein"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML State-of-the-art object detection algorithms for small lesion detection in PSMA PET: use of rotational maximum intensity projection (MIP) images.

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Amirhosein Taherkordi

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State-of-the-art object detection algorithms for small lesion detection in PSMA PET: use of rotational maximum intensity projection (MIP) images.