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![Publication Image](/images/publications/Paper%2015_%20Parse%20Challenge.webp)
Parse Challenge 2022: Pulmonary Arteries Segmentation Using Swin U-net Transformer(Swin UNETR) and U-net
https://doi.org/10.1109/ISBI53787.2023.10230839
![Publication Image](/images/publications/Scaling-Graph-Propagation-Kernels-for-Predictive-Learning.webp)
Scaling Graph Propagation Kernels for Predictive Learning
https://doi.org/10.3389/fdata.2022.616617
![Publication Image](/images/publications/spacil_representative_image.webp)
Smooth Imitation Learning via Smooth Costs and Smooth Policies
https://dl.acm.org/doi/abs/10.1145/3493700.3493716
![Publication Image](/images/publications/Towards-Building-ASR-Systems-for-the-Next-Billion-Users.webp)
Towards Building ASR Systems for the Next Billion Users
https://arxiv.org/abs/2111.03945
![Publication Image](/images/publications/CDiNN-Convex-difference-neural-networks.webp)
CDiNN – Convex difference neural networks
https://doi.org/10.1016/j.neucom.2022.01.024
![Publication Image](/images/publications/Unsupervised-Deep-Video-Denoising.webp)
Unsupervised Deep Video Denoising
https://arxiv.org/abs/2011.15045
![Publication Image](/images/publications/architecture.webp)
Semi-Supervised Deep Learning for Multiplex Networks
https://doi.org/10.1145/3447548.3467443
![Publication Image](/images/publications/Demystifying-brain-tumor-segmentation.webp)
Demystifying brain tumor segmentation networks: interpretability and uncertainty analysis
https://doi.org/10.3389/fncom.2020.00006
![Publication Image](/images/publications/Training-a-deep-learning-architecture.webp)
Training a deep learning architecture for vehicle detection using limited heterogeneous traffic data
https://doi.org/10.1109/COMSNETS.2018.8328279
![Publication Image](/images/publications/publication-default.webp)
A neural attention based approach for clickstream mining
https://doi.org/10.1145/3152494.3152505
![Publication Image](/images/publications/Recovering-from-random-pruning-On-the-plasticity-of-deep-convolutional-neural-networks.webp)
Recovering from random pruning: On the plasticity of deep convolutional neural networks
https://doi.org/10.1109/WACV.2018.00098
![Publication Image](/images/publications/Correlational-neural-networks.webp)
Correlational neural networks
https://doi.org/10.1162/neco_a_00801