| Techniques of data mining in healthcare: a review P Ahmad, S Qamar, SQA Rizvi International Journal of Computer Applications 120 (15), 2015 | 162 | 2015 |
| A variant form of 3D-UNet for infant brain segmentation S Qamar, H Jin, R Zheng, P Ahmad, M Usama Future Generation Computer Systems 108, 613-623, 2020 | 96 | 2020 |
| CT-based automatic spine segmentation using patch-based deep learning SF Qadri, H Lin, L Shen, M Ahmad, S Qadri, S Khan, M Khan, SS Zareen, ... International Journal of Intelligent Systems 2023, 1-14, 2023 | 44 | 2023 |
| Dense encoder-decoder–based architecture for skin lesion segmentation S Qamar, P Ahmad, L Shen Cognitive Computation 13 (2), 583-594, 2021 | 39 | 2021 |
| Context aware 3D UNet for brain tumor segmentation P Ahmad, S Qamar, L Shen, A Saeed Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2021 | 37 | 2021 |
| MH UNet: A multi-scale hierarchical based architecture for medical image segmentation P Ahmad, H Jin, R Alroobaea, S Qamar, R Zheng, F Alnajjar, F Aboudi IEEE Access 9, 148384-148408, 2021 | 34 | 2021 |
| 3D hyper-dense connected convolutional neural network for brain tumor segmentation S Qamar, H Jin, R Zheng, P Ahmad 2018 14th international conference on semantics, knowledge and grids (SKG …, 2018 | 26 | 2018 |
| HI-Net: Hyperdense Inception 3D UNet for Brain Tumor Segmentation S Qamar, P Ahmad, L Shen Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2021 | 19 | 2021 |
| Multi stream 3D hyper-densely connected network for multi modality isointense infant brain MRI segmentation S Qamar, H Jin, R Zheng, P Ahmad Multimedia Tools and Applications 78, 25807-25828, 2019 | 19 | 2019 |
| An empirical analysis of artificial intelligence (AI) as a growth engine for the healthcare sector V Whig, B Othman, MA Haque, A Gehlot, S Qamar, J Singh 2022 2nd international conference on advance computing and innovative …, 2022 | 15 | 2022 |
| Accuracy of CT chest without oral contrast for ruling out esophageal perforation using fluoroscopic esophagography as reference standard: a retrospective study M Awais, S Qamar, A Rehman, NUA Baloch, G Shafqat European Journal of Trauma and Emergency Surgery 45, 517-525, 2019 | 15 | 2019 |
| RD2A: densely connected residual networks using ASPP for brain tumor segmentation P Ahmad, H Jin, S Qamar, R Zheng, A Saeed Multimedia Tools and Applications 80, 27069-27094, 2021 | 14 | 2021 |
| Hybrid labels for brain tumor segmentation P Ahmad, S Qamar, SR Hashemi, L Shen Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2020 | 13 | 2020 |
| Empiric transcatheter arterial embolization for massive or recurrent gastrointestinal bleeding: ten-year experience from a single tertiary care center A Muhammad, M Awais, R Sayani, MA Saeed, S Qamar, A Rehman, ... Cureus 11 (3), 2019 | 11 | 2019 |
| Emotion detection from text using fuzzy logic S Qamar, P Ahmad International journal of computer applications 121 (3), 2015 | 11 | 2015 |
| REMOVED: Equipping recurrent neural network with CNN-style attention mechanisms for sentiment analysis of network reviews M Usama, B Ahmad, J Yang, S Qamar, P Ahmad, Y Zhang, J Lv, J Guna Computer Communications 148, 98, 2019 | 9 | 2019 |
| MS UNet: Multi-scale 3D UNet for Brain Tumor Segmentation P Ahmad, S Qamar, L Shen, SQA Rizvi, A Ali, G Chetty International MICCAI Brainlesion Workshop, 30-41, 2022 | 6 | 2022 |
| International MICCAI Brainlesion Workshop P Ahmad, S Qamar, SR Hashemi, L Shen Springer, 2019 | 6 | 2019 |
| Examining success of land record information systems (LRMIS) in Pakistan: Validating an incorporated is success model BH Malik, C Shuqin, S Qamar, B Mattiullah European Scientific Journal 12 (2), 2016 | 6 | 2016 |
| 3D dense dilated hierarchical architecture for brain tumor segmentation P Ahmad, H Jin, S Qamar, R Zheng, W Jiang, B Ahmad, M Usama Proceedings of the 4th International Conference on Big Data and Computing …, 2019 | 4 | 2019 |
Parvez AhmadPhD, Huazhong University of Science and TechnologyVerified email at hust.edu.cn
