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
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski