Bashirul Azam Biswas
PulseAugur coverage of Bashirul Azam Biswas — every cluster mentioning Bashirul Azam Biswas across labs, papers, and developer communities, ranked by signal.
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New research explores multimodal AI for PET/CT lesion segmentation
Two new research papers explore multimodal self-supervised learning for PET/CT lesion segmentation in cancer patients. The first paper, MUST-PET, proposes a framework that uses both PET and CT scan data, trained across …
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New FEEDS strategy boosts AI cancer detection efficiency with reduced labeling
Researchers have developed a novel strategy called FEEDS (Foundation model-Enabled Efficient Data Sampling) to improve the efficiency of training AI models for cancer detection in PET/CT imaging. This method leverages v…
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AI improves cancer lesion segmentation with uncertainty quantification
Researchers have developed a new framework to improve the segmentation of lesions in whole-body PET/CT scans for cancer staging. This approach integrates Bayesian ensembling to reduce variability and quantifies uncertai…