Pyramid Transformer for Traffic Sign Detection. - Omid Nejati Manzari; Amin Boudesh; Shahriar B. Shokouhi (CoRR, 2022)

Robust Transformer with Locality Inductive Bias and Feature Normalization. - Omid Nejati Manzari; Hossein Kashiani; Hojat Asgarian Dehkordi; Shahriar Baradaran Shokouhi (CoRR, 2023)

Dilated-UNet: A Fast and Accurate Medical Image Segmentation Approach using a Dilated Transformer and U-Net Architecture. - Davoud Saadati; Omid Nejati Manzari; Sattar Mirzakuchaki (CoRR, 2023)

Distilling Knowledge from CNN-Transformer Models for Enhanced Human Action Recognition. - Hamid Ahmadabadi; Omid Nejati Manzari; Ahmad Ayatollahi (CoRR, 2023)

Traffic Sign Recognition Using Local Vision Transformer. - Ali Farzipour; Omid Nejati Manzari; Shahriar B. Shokouhi (CoRR, 2023)

MedViT: A robust vision transformer for generalized medical image classification. - Omid Nejati Manzari; Hamid Ahmadabadi; Hossein Kashiani; Shahriar B. Shokouhi; Ahmad Ayatollahi (Comput. Biol. Medicine, 2023)

BEFUnet: A Hybrid CNN-Transformer Architecture for Precise Medical Image Segmentation. - Omid Nejati Manzari; Javad Mirzapour Kaleybar; Hooman Saadat; Shahin Maleki (CoRR, 2024)

Medical Image Classification with KAN-Integrated Transformers and Dilated Neighborhood Attention. - Omid Nejati Manzari; Hojat Asgariandehkordi; Taha Koleilat; Yiming Xiao; Hassan Rivaz (CoRR, 2025)

Enhancing Vehicle Make and Model Recognition with 3D Attention Modules. - Narges Semiromizadeh; Omid Nejati Manzari; Shahriar B. Shokouhi; Sattar Mirzakuchaki (CoRR, 2025)

DenUnet: enhancing dental image segmentation through edge and body fusion. - Omid Nejati Manzari; Farhad Bayrami; Hooman Khaloo; Zahra Khodakaramimaghsoud; Shahriar B. Shokouhi (Multim. Tools Appl., 2025)