Usma Niyaz

11 papers Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Prototypical aggregate network - boosting few-shot learning for medical image classification.
Multim. Tools Appl.
Ranjana Roy Chowdhury, Usma Niyaz, Deepti R. Bathula
2026 J jnl
SHAPER: SHape-Aware Parameter-Efficient Representation learning for medical image segmentation.
Knowl. Based Syst.
Usma Niyaz, Abhishek Singh Sambyal, Ranjana Roy Chowdhury, Deepti R. Bathula
2024 — conf
LS+: Informed Label Smoothing for Improving Calibration in Medical Image Classification.
MICCAI (10)
Abhishek Singh Sambyal, Usma Niyaz, Saksham Shrivastava, Narayanan C. Krishnan, Deepti R. Bathula
2024 J jnl
Leveraging different learning styles for improved knowledge distillation in biomedical imaging.
Comput. Biol. Medicine
Usma Niyaz, Abhishek Singh Sambyal, Deepti R. Bathula
2024 — conf
Wavelet-Based Feature Compression for Improved Knowledge Distillation.
ISBI
Usma Niyaz, Abhishek Singh Sambyal, Deepti R. Bathula
2023 J jnl
Understanding Calibration of Deep Neural Networks for Medical Image Classification.
CoRR
Abhishek Singh Sambyal, Usma Niyaz, Narayanan C. Krishnan, Deepti R. Bathula
2023 J jnl
Understanding calibration of deep neural networks for medical image classification.
Comput. Methods Programs Biomed.
Abhishek Singh Sambyal, Usma Niyaz, Narayanan C. Krishnan, Deepti R. Bathula
2022 — conf
Augmenting Knowledge Distillation with Peer-to-Peer Mutual Learning for Model Compression.
ISBI
Usma Niyaz, Deepti R. Bathula
2022 J jnl
Leveraging Different Learning Styles for Improved Knowledge Distillation.
CoRR
Usma Niyaz, Deepti R. Bathula
2021 J jnl
Augmenting Knowledge Distillation With Peer-To-Peer Mutual Learning For Model Compression.
CoRR
Usma Niyaz, Deepti R. Bathula
2018 — conf
Evaluation of Deep Learning Model with Optimizing and Satisficing Metrics for Lung Segmentation.
SocProS (1)
Usma Niyaz, Abhishek Singh Sambyal, Devanand Padha