Publications
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ConnectedUNets++: Mass Segmentation from Whole Mammographic Image
Sushmita Sarker, Prithul Sarker, George Bebis, Alireza Tavakkoli
International Symposium on Visual Computing, 2022
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Generating Synthetic Tree Point Clouds for Deep Learning Applications in Remote Sensing
Gunner Stone, Sushmita Sarker, Jonathan Greenberg, Alireza Tavakkoli
International Symposium on Visual Computing, 2024
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A Comprehensive Overview of Deep Learning Techniques for 3D Point Cloud Classification and Semantic Segmentation
Sushmita Sarker, Prithul Sarker, Gunner Stone, Ryan Gorman, Alireza Tavakkoli, George Bebis, Javad Sattarvand
Machine Vision and Applications 2024
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MV-Swin-T: Mammogram Classification with Multi-view Transformer
Sushmita Sarker, Prithul Sarker, George Bebis, Alireza Tavakkoli
IEEE International Symposium on Biomedical Imaging, 2024
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Can Score-based Generative Modeling Effectively Handle Medical Image Classification
Sushmita Sarker, Prithul Sarker, George Bebis, Alireza Tavakkoli
IEEE International Symposium on Biomedical Imaging, 2025
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Unified Unsupervised Anomaly Detection Framework for Multivariate Time Series
Prithul Sarker, Sushmita Sarker, Nicholas Murray, Alireza Tavakkoli
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Guided and Unguided Conditional Diffusion Mechanisms for Structured and Semantically-Aware 3D Point Cloud Generation
Sushmita Sarker, Gunner Stone, Alireza Tavakkoli
International Conference on Machine Learning and Applications, 2025
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Detecting Unclassified Electromagnetic Signals for Secure Wireless Communication Using Open Set Recognition
Anna Quach, Daniel E Wells, Dola Saha, Oshadhi Rajapakshe, Xue Wei, Sushmita Sarker
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Enhancing Unknown Waveform Detection by Learning Intra and Inter-domain Dependencies with Advanced Attention Fusion Mechanisms
Sushmita Sarker, Anna Quach, Daniel E Wells
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