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Qurrat Ul Ain
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Other persons with the same name
- Qurrat Ul Ain 0001
— Victoria University of Wellington, School of Engineering and Computer Science, Centre for Data Science and Artificial Intelligence, Wellington, New Zealand
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2020 – today
- 2025
[j10]Sohaib Asif
, Qurrat Ul Ain, Saif Ur Rehman Khan
, Kamran Amjad, Muhammad Awais:
SKINC-NET: an efficient Lightweight Deep Learning Model for Multiclass skin lesion classification in dermoscopic images. Multim. Tools Appl. 84(13): 12531-12557 (2025)
[i2]Qurrat Ul Ain, Atif Aftab Ahmed Jilani
, Zunaira Shafqat, Nigar Azhar Butt:
Real-Time Surgical Instrument Defect Detection via Non-Destructive Testing. CoRR abs/2510.14525 (2025)- 2024
[j9]Qurrat Ul Ain
, Atif Aftab Ahmed Jilani
, Nigar Azhar Butt
, Shafiq Ur Rehman
, Hisham Abdulrahman Alhulayyil
:
Anomaly Detection for Aviation Cyber-Physical System: Opportunities and Challenges. IEEE Access 12: 175905-175925 (2024)
[j8]Sohaib Asif
, Qurrat Ul Ain
:
A Fuzzy Minkowski Distance-based fusion of convolutional neural networks for gastrointestinal disease detection. Appl. Soft Comput. 158: 111595 (2024)
[j7]Qurrat Ul Ain, Sohaib Asif
:
A novel ensemble approach with deep transfer learning for accurate identification of foodborne bacteria from hyperspectral microscopy. Comput. Biol. Chem. 113: 108238 (2024)
[j6]Sohaib Asif
, Wenhui Yi, Qurrat Ul Ain
, Yi Yueyang, Jinhai Si:
Improving the accuracy of diagnosing and predicting coronary heart disease using ensemble method and feature selection techniques. Clust. Comput. 27(2): 1927-1946 (2024)
[j5]Sohaib Asif
, Qurrat Ul Ain
:
Enhancing pulmonary abnormality detection with an optimized CNN architecture incorporating depth-wise separable convolution and inception module. Evol. Syst. 15(4): 1359-1380 (2024)
[j4]Sohaib Asif
, Qurrat Ul Ain, Raeed Al-Sabri
, Monir Abdullah
:
LitefusionNet: Boosting the performance for medical image classification with an intelligent and lightweight feature fusion network. J. Comput. Sci. 80: 102324 (2024)
[j3]Sohaib Asif
, Qurrat Ul Ain, Muhammad Awais, Kamran Amjad, Omair Bilal
, Raeed Al-Sabri
, Monir Abdullah
:
A deep ensemble learning framework for COVID-19 detection in chest X-ray images. Netw. Model. Anal. Health Informatics Bioinform. 13(1): 30 (2024)- 2023
[j2]Sohaib Asif
, Qurrat Ul Ain, Muhammad Awais, Saif Ur Rehman Khan
:
IR-CNN: Inception residual network for detecting kidney abnormalities from CT images. Netw. Model. Anal. Health Informatics Bioinform. 12(1): 35 (2023)- 2022
[j1]Sohaib Asif
, Wenhui Yi
, Qurrat Ul Ain
, Jin Hou, Tao Yi, Jinhai Si
:
Improving Effectiveness of Different Deep Transfer Learning-Based Models for Detecting Brain Tumors From MR Images. IEEE Access 10: 34716-34730 (2022)
[c2]Sohaib Asif
, Wenhui Yi, Jinhai Si, Qurrat Ul Ain, Yi Yueyang, Hou Jin:
Modeling a Fine-Tuned Deep Convolutional Neural Network for Diagnosis of Kidney Diseases from CT Images. BIBM 2022: 2571-2576- 2020
[c1]Harshdeep Singh, Nicholas McCarthy, Qurrat Ul Ain, Jeremiah Hayes:
ChemoVerse: Manifold Traversal of Latent Spaces for Novel Molecule Discovery. ADGN@ECAI 2020
[i1]Harshdeep Singh, Nicholas McCarthy, Qurrat Ul Ain, Jeremiah Hayes:
ChemoVerse: Manifold traversal of latent spaces for novel molecule discovery. CoRR abs/2009.13946 (2020)
Coauthor Index

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