Usma Niyaz

According to our database, Usma Niyaz authored at least 7 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Leveraging different learning styles for improved knowledge distillation in biomedical imaging.

Usma Niyaz, Abhishek Singh Sambyal, Deepti R. Bathula

Comput. Biol. Medicine, January, 2024

LS+: Informed Label Smoothing for Improving Calibration in Medical Image Classification.

Abhishek Singh Sambyal, Usma Niyaz, Saksham Shrivastava, Narayanan C. Krishnan, Deepti R. Bathula

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Wavelet-Based Feature Compression for Improved Knowledge Distillation.

Usma Niyaz, Abhishek Singh Sambyal, Deepti R. Bathula

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Understanding calibration of deep neural networks for medical image classification.

Abhishek Singh Sambyal, Usma Niyaz, Narayanan C. Krishnan, Deepti R. Bathula

Comput. Methods Programs Biomed., December, 2023

2022

Leveraging Different Learning Styles for Improved Knowledge Distillation.

Usma Niyaz, Deepti R. Bathula

CoRR, 2022

Augmenting Knowledge Distillation with Peer-to-Peer Mutual Learning for Model Compression.

Usma Niyaz, Deepti R. Bathula

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2018

Evaluation of Deep Learning Model with Optimizing and Satisficing Metrics for Lung Segmentation.

Usma Niyaz, Abhishek Singh Sambyal, Devanand Padha

Proceedings of the Soft Computing for Problem Solving, 2018