
Dr. Saqib Qamar
Qualification : Ph.D.
Details of Educational Qualification:
Course | Specialization | Group | College Name/University | Year of Passing |
---|---|---|---|---|
Ph.D. | Computer Science | Computer Science | Huazhong University of Science and Technology (HUST), China | 2019 |
M.C.A. | Computer Applications | Computer Applications | Aligarh Muslim University, Aligarh, India | 2013 |
B.Sc. | Statistics (Hons.) | B.Sc. | Aligarh Muslim University, Aligarh, India | 2010 |
Note : Students are advised to meet me in Room No : WB - 214 at any time other than my class hours mentioned in the below timetable for any discussions related to the subjects & research.
My Schedule for 2021-22
My Publications
S.No | Title of the Paper | Full Details of Journal Name / Conference Name, Volume number, page number, Date |
---|---|---|
1 | “Multi stream 3D hyper-densely connected network for multi modality isointense infant brain MRI segmentation", | Multimedia Tools and Applications(MTA),2019, 78(18):25807-25828 (SCI )Saqib Qamar, Hai Jin, Parvez Ahmad “A Variant Form of 3D-UNet for Infant Brain Segmentation", Future Generation Computer Systems (FGCS), https://doi.org/10.1016/j.future.2019.11.021 |
2 | “Dense Encoder-Decoder based architecture for skin lesion segmentation", | Cognitive Computation (Accepted)(SCI) |
3 | “Single binding of data and model parallelisms to parallelize convolutional neural networks through multiple machines”. | Journal of Intelligent and Fuzzy Systems (JIFS), 2018,35(5):5449-5466.(SCI) |
4 | ” Techniques of Data Mining In Health care: A Review”, | International Journal of Computer Applications 120(15):38-50, June 2015. |
5 | ” Emotion detection from Text Using Fuzzy logic”, | International Journal of Computer Applications 121(3):29-33, July 2015 |
6 | "Hybrid Labels for Brain Tumor Segmentation" | In: Crimi A., Bakas S. (eds) Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2019. Lecture Notes in Computer Science, vol 11993. Springer, Cham,( MICCAI 2019) |
7 | “3D Hyper-dense Connected Convolutional Neural Network for Brain Tumor Segmentation”. | In: Proceeding of 14th International Conference on Semantics, Knowledge and Grids (SKG), Guangzhou, China,IEEE,2018. (IEEE Xplore, Ei,Scopus) |
8 | “Hybrid loss guided densely connected convolutional neural network for Ischemic Stroke Lesion segmentation”. | IEEE, International Conference for Convergence on Technology (I2CT),2019.(IEEE Xplore, Ei, Scopus) |
9 | “Dense dialated Hierarchical Architecture for Brain Tumor Segmentation” | ICBDC 2019, Guangzhou, China. (ACM Archive, Ei,Scopus) |
10 | “Combined 3D CNN for Brain Tumor Segmentation ” | MIPR2020, Shenzhen, China.(CCF)(IEEE Xplore, Ei, Scopus) |