Angshuman Paul
Indian Institute of Technology Jodhpur(IN)
Publications by Year
Research Areas
AI in cancer detection, COVID-19 diagnosis using AI, Radiomics and Machine Learning in Medical Imaging, Analog and Mixed-Signal Circuit Design, Medical Image Segmentation Techniques
Most-Cited Works
- → Improved Random Forest for Classification(2018)437 cited
- → Mitosis Detection for Invasive Breast Cancer Grading in Histopathological Images(2015)95 cited
- → Discriminative ensemble learning for few-shot chest x-ray diagnosis(2020)49 cited
- → Regenerative Random Forest with Automatic Feature Selection to Detect Mitosis in Histopathological Breast Cancer Images(2015)48 cited
- → Active simulation of grounded inductors using a single current conveyor(1981)45 cited
- → Generalized Zero-Shot Chest X-Ray Diagnosis Through Trait-Guided Multi-View Semantic Embedding With Self-Training(2021)40 cited
- → Calculation of phase fraction in steel microstructure images using random forest classifier(2018)27 cited
- → Deterministic dropout for deep neural networks using composite random forest(2020)26 cited
- → Gland segmentation from histology images using informative morphological scale space(2016)21 cited
- → Fast few-shot transfer learning for disease identification from chest x-ray images using autoencoder ensemble(2020)15 cited