Impact of automation on library services in selected management institutes at Aligarh: A survey. - Mohammad Anas; Jafar Iqbal; Parvez Ahmad (Electron. Libr., 2014)

3D Hyper-Dense Connected Convolutional Neural Network for Brain Tumor Segmentation. - Saqib Qamar; Hai Jin 001; Ran Zheng; Parvez Ahmad (SKG, 2018)

Single binding of data and model parallelisms to parallelize convolutional neural networks through multiple machines. - Hai Jin 001; Saqib Qamar; Ran Zheng; Parvez Ahmad (J. Intell. Fuzzy Syst., 2018)

Hybrid Labels for Brain Tumor Segmentation. - Parvez Ahmad; Saqib Qamar; Seyed Raein Hashemi; Linlin Shen (BrainLes@MICCAI (2), 2019)

3D Dense Dilated Hierarchical Architecture for Brain Tumor Segmentation. - Parvez Ahmad; Hai Jin 001; Saqib Qamar; Ran Zheng; Wenbin Jiang 001; Belal Ahmad; Mohd Usama (ICBDC, 2019)

Removal notice to "Equipping recurrent neural network with CNN-style attention mechanisms for sentiment analysis of network reviews" [Comput. Commun. (2019) 98-106]. - Mohd Usama; Belal Ahmad; Jun Yang 014; Saqib Qamar; Parvez Ahmad; Yu Zhang; Jing Lv; Joze Guna (Comput. Commun., 2019)

Multi stream 3D hyper-densely connected network for multi modality isointense infant brain MRI segmentation. - Saqib Qamar; Hai Jin 001; Ran Zheng; Parvez Ahmad (Multim. Tools Appl., 2019)

Context Aware 3D UNet for Brain Tumor Segmentation. - Parvez Ahmad; Saqib Qamar; Linlin Shen; Adnan Saeed (BrainLes@MICCAI (1), 2020)

HI-Net: Hyperdense Inception 3D UNet for Brain Tumor Segmentation. - Saqib Qamar; Parvez Ahmad; Linlin Shen (BrainLes@MICCAI (2), 2020)

Combined 3D CNN for Brain Tumor Segmentation. - Parvez Ahmad; Hai Jin 001; Saqib Qamar; Ran Zheng; Wenbin Jiang 001 (MIPR, 2020)

A variant form of 3D-UNet for infant brain segmentation. - Saqib Qamar; Hai Jin 001; Ran Zheng; Parvez Ahmad; Mohd Usama (Future Gener. Comput. Syst., 2020)

MS UNet: Multi-scale 3D UNet for Brain Tumor Segmentation. - Parvez Ahmad; Saqib Qamar; Linlin Shen; Syed Qasim Afser Rizvi; Aamir Ali; Girija Chetty (BrainLes@MICCAI (2), 2021)

MH UNet: A Multi-Scale Hierarchical Based Architecture for Medical Image Segmentation. - Parvez Ahmad; Hai Jin 001; Roobaea Alroobaea; Saqib Qamar; Ran Zheng; Fady Alnajjar; Fathia Aboudi (IEEE Access, 2021)

Dense Encoder-Decoder-Based Architecture for Skin Lesion Segmentation. - Saqib Qamar; Parvez Ahmad; Linlin Shen (Cogn. Comput., 2021)

RD2A: densely connected residual networks using ASPP for brain tumor segmentation. - Parvez Ahmad; Hai Jin 001; Saqib Qamar; Ran Zheng; Adnan Saeed (Multim. Tools Appl., 2021)

Analysis of Optimal Integration of EVs and DGs Into CIGRE's MV Benchmark Model. - Habib Ur Rahman Habib; Asad Waqar; Bashar Sakeen Farhan; Tanveer Ahmad; Mehdi Jahangiri; Moustafa Magdi Ismail; Parvez Ahmad; Asad Abbas; Yunsu Kim 002 (IEEE Access, 2022)

SAMA-UNet: Enhancing Medical Image Segmentation with Self-Adaptive Mamba-Like Attention and Causal-Resonance Learning. - Saqib Qamar; Mohd Fazil; Parvez Ahmad; Ghulam Muhammad (CoRR, 2025)