What can we learn about CNNs from a large scale controlled object dataset? - Ali Borji; Saeed Izadi; Laurent Itti (CoRR, 2015)

iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning. - Ali Borji; Saeed Izadi; Laurent Itti (CVPR, 2016)

Grid-Based Surface Generalized Born Model for Calculation of Electrostatic Binding Free Energies. - Negin Forouzesh; Saeed Izadi; Alexey V. Onufriev (J. Chem. Inf. Model., 2017)

Generative adversarial networks to segment skin lesions. - Saeed Izadi; Zahra Mirikharaji; Jeremy Kawahara; Ghassan Hamarneh (ISBI, 2018)

Deep auto-context fully convolutional neural network for skin lesion segmentation. - Zahra Mirikharaji; Saeed Izadi; Jeremy Kawahara; Ghassan Hamarneh (ISBI, 2018)

Can Deep Learning Relax Endomicroscopy Hardware Miniaturization Requirements? - Saeed Izadi; Kathleen P. Moriarty; Ghassan Hamarneh (MICCAI (1), 2018)

WhiteNNer-Blind Image Denoising via Noise Whiteness Priors. - Saeed Izadi; Zahra Mirikharaji; Mengliu Zhao; Ghassan Hamarneh (ICCV Workshops, 2019)

Image Super Resolution via Bilinear Pooling: Application to Confocal Endomicroscopy. - Saeed Izadi; Darren B. Sutton; Ghassan Hamarneh (MLMIR@MICCAI, 2019)

Patch-Based Non-local Bayesian Networks for Blind Confocal Microscopy Denoising. - Saeed Izadi; Ghassan Hamarneh (MICCAI (5), 2020)

AECNN: Adversarial and Enhanced Convolutional Neural Networks. - Saeed Izadi; Ghassan Hamarneh (Computer-Aided Analysis of Gastrointestinal Videos, 2021)

D-LEMA: Deep Learning Ensembles From Multiple Annotations - Application to Skin Lesion Segmentation. - Zahra Mirikharaji; Kumar Abhishek 001; Saeed Izadi; Ghassan Hamarneh (CVPR Workshops, 2021)

Image denoising in the deep learning era. - Saeed Izadi; Darren B. Sutton; Ghassan Hamarneh (Artif. Intell. Rev., 2023)

AmberTools. - David A. Case; Hasan Metin Aktulga; Kellon Belfon; David S. Cerutti; G. Andrés Cisneros; Vinícius Wilian D. Cruzeiro; Negin Forouzesh; Timothy J. Giese; Andreas W. Götz; Holger Gohlke; Saeed Izadi; Koushik Kasavajhala; et al. (J. Chem. Inf. Model., 2023)