On Multiview Analysis for Fingerprint Liveness Detection. - Amirhosein Toosi; Sandro Cumani; Andrea Bottino (CIARP, 2015)

GAINE - tanGible Augmented INteraction for Edutainment. - Andrea Bottino; Andrea Martina; Amirhosein Toosi (EAI Endorsed Trans. Future Intell. Educ. Environ., 2015)

GAINE - A portable framework for the development of edutainment applications based on multitouch and tangible interaction. - Andrea Bottino; Andrea Martina; Francesco Strada; Amirhosein Toosi (Entertain. Comput., 2016)

CNN Patch-Based Voting for Fingerprint Liveness Detection. - Amirhosein Toosi; Sandro Cumani; Andrea Bottino (IJCCI, 2017)

Assessing Transfer Learning on Convolutional Neural Networks for Patch-Based Fingerprint Liveness Detection. - Amirhosein Toosi; Sandro Cumani; Andrea Bottino (IJCCI (Selected Papers), 2017)

Feature Fusion for Fingerprint Liveness Detection: a Comparative Study. - Amirhosein Toosi; Andrea Bottino; Sandro Cumani; Pablo Negri; Pietro Luca Sottile (IEEE Access, 2017)

Feature Fusion for Fingerprint Liveness Detection. - Amirhosein Toosi (2018)

A brief history of AI: how to prevent another winter (a critical review). - Amirhosein Toosi; Andrea Bottino; Babak Saboury; Eliot L. Siegel; Arman Rahmim (CoRR, 2021)

Tensor Radiomics: Paradigm for Systematic Incorporation of Multi-Flavoured Radiomics Features. - Arman Rahmim; Amirhosein Toosi; Mohammad R. Salmanpour; Natalia Dubljevic; Ian Janzen; Isaac Shiri; Mohamad A. Ramezani; Ren Yuan; Cheryl Ho; Habib Zaidi; Calum MacAulay; Carlos F. Uribe; et al. (CoRR, 2022)

State-of-the-art object detection algorithms for small lesion detection in PSMA PET: use of rotational maximum intensity projection (MIP) images. - Amirhosein Toosi; Sara Harsini; Shadab Ahamed; Fereshteh Yousefirizi; François Bénard; Carlos F. Uribe; Arman Rahmim (Image Processing, 2023)

Revisiting the supervision level in semi-supervised learning for automated tumor segmentation: application to lymphoma FDG PET imaging. - Fereshteh Yousefirizi; Joo Hyun O; Ingrid Bloise; Amirhosein Toosi; Carlos F. Uribe; Arman Rahmim (Image Processing, 2023)

Generative Adversarial Networks for Anomaly Detection in Biomedical Imaging: A Study on Seven Medical Image Datasets. - Marzieh Esmaeili; Amirhosein Toosi; Arash Roshanpoor; Vahid Changizi; Marjan Ghazisaeedi; Arman Rahmim; Mohammad Sabokrou (IEEE Access, 2023)

How to Segment in 3D Using 2D Models: Automated 3D Segmentation of Prostate Cancer Metastatic Lesions on PET Volumes Using Multi-angle Maximum Intensity Projections and Diffusion Models. - Amirhosein Toosi; Sara Harsini; François Bénard; Carlos F. Uribe; Arman Rahmim (DGM4MICCAI@MICCAI, 2024)

Segmentation-Free Outcome Prediction in Head and Neck Cancer: Deep Learning-based Feature Extraction from Multi-Angle Maximum Intensity Projections (MA-MIPs) of PET Images. - Amirhosein Toosi; Isaac Shiri; Habib Zaidi; Arman Rahmim (CoRR, 2024)