| 1 |
S. Dhalla,A. Mittal, and S. Gupta, “Leukocapsnet: A resource-efficient modified capsnet model to identify leukemia from blood smear images,” Neural Computing and Applications, vol. 36, no. 5, pp. 2507–2524, 2024. |
| 2 |
V. Abrol, S. Dhalla, S. Gupta, S. Singh, and A. Mittal, “An automated segmentation of leukocytes using modified watershed algorithm on peripheral blood smear images,” Wireless Personal Communications, vol. 131, no. 1, pp. 197–215, 2023. |
| 3 |
K. Bhatia, S. Dhalla,A. Mittal, S. Gupta,A. Gupta, and A. Jindal, “Integrating explainability into deep learning-based models for white blood cells classification,” Computers and Electrical Engineering, vol. 110, p. 108 913, 2023.
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| 4 |
S. Dhalla,J. Maqbool, T. S. Mann, et al., “Semantic segmentation of palpebral conjunctiva using predefined deep neural architectures for anemia detection,” Procedia Computer Science, vol. 218, pp. 328–337, 2023. |
| 5 |
Dhalla,A. Mittal, S. Gupta,J. Kaur, H. Kaur, et al., “A combination of simple and dilated convolution with attention mechanism in a feature pyramid network to segment leukocytes from blood smear images,” Biomedical Signal Processing and Control, vol. 80, p. 104 344, 2023.
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