Angshuman Paul

Employment

• Indian Institute of Technology Jodhpur
  2021 - Present
• National Institutes of Health
  2019 - 2021

Education

• Indian Statistical Institute Ph D
  2014 - 2019
• Jadavpur University M.E.
  2010 - 2012
• Jadavpur University B.E.
  2006 - 2010

Projects & Funding

Projects & funding information is unavailable.

Publications (19)

• Generalized Zero-shot Chest X-ray Diagnosis through Trait-Guided Multi-view Semantic Embedding with Self-training
  IEEE Transactions on Medical Imaging 2021 DOI: 10.1109/TMI.2021.3054817
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• Discriminative ensemble learning for few-shot chest x-ray diagnosis
  Medical Image Analysis 2021 DOI: 10.1016/j.media.2020.101911
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• COMe-SEE: Cross-modality Semantic Embedding Ensemble for Generalized Zero-Shot Diagnosis of Chest Radiographs
  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020 DOI: 10.1007/978-3-030-61166-8_11
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• Deterministic dropout for deep neural networks using composite random forest
  Pattern Recognition Letters 2020 DOI: 10.1016/j.patrec.2019.12.023
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• Fast few-shot transfer learning for disease identification from chest x-ray images using autoencoder ensemble
  Progress in Biomedical Optics and Imaging - Proceedings of SPIE 2020 DOI: 10.1117/12.2549060
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• Multilevel UNet for pancreas segmentation from non-contrast CT scans through domain adaptation
  Progress in Biomedical Optics and Imaging - Proceedings of SPIE 2020 DOI: 10.1117/12.2551093
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• Reinforced quasi-random forest
  Pattern Recognition 2019 DOI: 10.1016/j.patcog.2019.05.013
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• Shape Based Speckle Removal for Ultrasound Image Segmentation
  Proceedings - International Conference on Image Processing, ICIP 2019 DOI: 10.1109/ICIP.2019.8803493
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• Speckle Removal Using Diffusion Potential for Optical Coherence Tomography Images
  IEEE Journal of Biomedical and Health Informatics 2019 DOI: 10.1109/JBHI.2018.2791624
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• Calculation of phase fraction in steel microstructure images using random forest classifier
  IET Image Processing 2018 DOI: 10.1049/iet-ipr.2017.1154
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