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ORCIDSaeed Izadi
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2020 – today
- 2023
[j3]Saeed Izadi, Darren B. Sutton, Ghassan Hamarneh:
Image denoising in the deep learning era. Artif. Intell. Rev. 56(7): 5929-5974 (2023)- [j2]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, Mehmet Cagri Kaymak, Edward King, Tom Kurtzman, Tai-Sung Lee, Pengfei Li, Jian Liu, Tyler Luchko, Ray Luo, Madushanka Manathunga, Matías R. Machado, Hai Minh Nguyen, Kurt A. O'Hearn, Alexey V. Onufriev, Feng Pan, Sergio Pantano, Ruxi Qi, Ali Rahnamoun, Ali Risheh, Stephan Schott-Verdugo, Akhil Shajan, Jason M. Swails, Junmei Wang, Haixin Wei, Xiongwu Wu, Yongxian Wu, Shi Zhang, Shiji Zhao, Qiang Zhu, Thomas E. Cheatham, Daniel R. Roe, Adrian E. Roitberg, Carlos Simmerling, Darrin M. York, Maria C. Nagan, Kenneth M. Merz Jr.:
AmberTools. J. Chem. Inf. Model. 63(20): 6183-6191 (2023) - 2021
- [c8]Zahra Mirikharaji, Kumar Abhishek, Saeed Izadi, Ghassan Hamarneh:
D-LEMA: Deep Learning Ensembles From Multiple Annotations - Application to Skin Lesion Segmentation. CVPR Workshops 2021: 1837-1846 - [p1]Saeed Izadi, Ghassan Hamarneh:
AECNN: Adversarial and Enhanced Convolutional Neural Networks. Computer-Aided Analysis of Gastrointestinal Videos 2021: 59-62 - 2020
- [c7]Saeed Izadi, Ghassan Hamarneh:
Patch-Based Non-local Bayesian Networks for Blind Confocal Microscopy Denoising. MICCAI (5) 2020: 46-55 - [i6]Saeed Izadi, Ghassan Hamarneh:
Patch-based Non-Local Bayesian Networks for Blind Confocal Microscopy Denoising. CoRR abs/2003.11177 (2020) - [i5]Zahra Mirikharaji, Kumar Abhishek, Saeed Izadi, Ghassan Hamarneh:
D-LEMA: Deep Learning Ensembles from Multiple Annotations - Application to Skin Lesion Segmentation. CoRR abs/2012.07206 (2020)
2010 – 2019
- 2019
- [c6]Saeed Izadi, Zahra Mirikharaji, Mengliu Zhao, Ghassan Hamarneh:
WhiteNNer-Blind Image Denoising via Noise Whiteness Priors. ICCV Workshops 2019: 476-484 - [c5]Saeed Izadi, Darren B. Sutton, Ghassan Hamarneh:
Image Super Resolution via Bilinear Pooling: Application to Confocal Endomicroscopy. MLMIR@MICCAI 2019: 236-244 - [i4]Saeed Izadi, Darren B. Sutton, Ghassan Hamarneh:
Image Super Resolution via Bilinear Pooling: Application to Confocal Endomicroscopy. CoRR abs/1906.07802 (2019) - [i3]Saeed Izadi, Zahra Mirikharaji, Mengliu Zhao, Ghassan Hamarneh:
WhiteNNer-Blind Image Denoising via Noise Whiteness Priors. CoRR abs/1908.03238 (2019) - 2018
- [c4]Zahra Mirikharaji, Saeed Izadi, Jeremy Kawahara, Ghassan Hamarneh:
Deep auto-context fully convolutional neural network for skin lesion segmentation. ISBI 2018: 877-880 - [c3]Saeed Izadi, Zahra Mirikharaji, Jeremy Kawahara, Ghassan Hamarneh:
Generative adversarial networks to segment skin lesions. ISBI 2018: 881-884 - [c2]Saeed Izadi, Kathleen P. Moriarty, Ghassan Hamarneh:
Can Deep Learning Relax Endomicroscopy Hardware Miniaturization Requirements? MICCAI (1) 2018: 57-64 - [i2]Saeed Izadi, Kathleen P. Moriarty, Ghassan Hamarneh:
Can Deep Learning Relax Endomicroscopy Hardware Miniaturization Requirements? CoRR abs/1806.08338 (2018) - 2017
- [j1]Negin Forouzesh, Saeed Izadi, Alexey V. Onufriev:
Grid-Based Surface Generalized Born Model for Calculation of Electrostatic Binding Free Energies. J. Chem. Inf. Model. 57(10): 2505-2513 (2017) - 2016
- [c1]Ali Borji, Saeed Izadi, Laurent Itti:
iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning. CVPR 2016: 2221-2230 - 2015
- [i1]Ali Borji, Saeed Izadi, Laurent Itti:
What can we learn about CNNs from a large scale controlled object dataset? CoRR abs/1512.01320 (2015)
Coauthor Index
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