Angshuman Paul
Orcid: 0000-0002-0935-0256
According to our database1,
Angshuman Paul
authored at least 35 papers
between 2012 and 2024.
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Bibliography
2024
Generalizable diagnosis of chest radiographs through attention-guided decomposition of images utilizing self-consistency loss.
Comput. Biol. Medicine, 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
An Ensemble of Well-Trained Students Can Perform Almost as Good as a Teacher for Chest X-Ray Diagnosis.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Adabot: An Adaptive Trading Bot Using an Ensemble of Phase-Specific Few-Shot Learners to Adapt to the Changing Market Dynamics.
Proceedings of the Pattern Recognition - 27th International Conference, 2024
PSIVUS: Atherosclerotic Plaque Segmentation in Intravascular Ultrasound Images via Active Learning.
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Differential Diagnosis of Thyroid Tumors Through Information Fusion from Multiphoton Microscopy Images Using Fusion Autoencoder.
Proceedings of the Pattern Recognition - 27th International Conference, 2024
2023
ViViD: View Prediction of Online Video Through Deep Neural Network-Based Analysis of Subjective Video Attributes.
IEEE Trans. Broadcast., March, 2023
Few-shot Diagnosis of Chest x-rays Using an Ensemble of Random Discriminative Subspaces.
CoRR, 2023
Anomaly Guided Generalizable Super-Resolution of Chest X-Ray Images Using Multi-level Information Rendering.
Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023
Multi-task Learning for Few-Shot Differential Diagnosis of Breast Cancer Histopathology Images.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023
Correcting class imbalances with self-training for improved universal lesion detection and tagging.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
Federated learning using multi-institutional data for generalizable chest x-ray diagnosis.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
Segmentation and Classification-Based Diagnosis of Tumors From Breast Ultrasound Images Using Multibranch Unet.
Proceedings of the IEEE International Conference on Image Processing, 2023
2022
Detail preserving conditional random field as 2-D RNN for gland segmentation in histology images.
Pattern Recognit. Lett., 2022
Universal Lesion Detection and Classification Using Limited Data and Weakly-Supervised Self-training.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022
2021
Generalized Zero-Shot Chest X-Ray Diagnosis Through Trait-Guided Multi-View Semantic Embedding With Self-Training.
IEEE Trans. Medical Imaging, 2021
Medical Image Anal., 2021
Learning Few-Shot Chest X-Ray Diagnosis Using Images From The Published Scientific Literature.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
Pattern Recognit. Lett., 2020
COMe-SEE: Cross-modality Semantic Embedding Ensemble for Generalized Zero-Shot Diagnosis of Chest Radiographs.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020
Multilevel UNet for pancreas segmentation from non-contrast CT scans through domain adaptation.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Fast few-shot transfer learning for disease identification from chest x-ray images using autoencoder ensemble.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
IEEE J. Biomed. Health Informatics, 2019
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
2018
Calculation of phase fraction in steel microstructure images using random forest classifier.
IET Image Process., 2018
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
2016
Proceedings of the Tenth Indian Conference on Computer Vision, 2016
Gland segmentation from histology images using informative morphological scale space.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
2015
IEEE Trans. Image Process., 2015
Regenerative Random Forest with Automatic Feature Selection to Detect Mitosis in Histopathological Breast Cancer Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
2014
Proceedings of the 2014 Indian Conference on Computer Vision, 2014
2012
Proceedings of the 19th IEEE International Conference on Image Processing, 2012