Angshuman Paul
Cited by
Cited by
Improved random forest for classification
A Paul, DP Mukherjee, P Das, A Gangopadhyay, AR Chintha, S Kundu
IEEE Transactions on Image Processing 27 (8), 4012-4024, 2018
Mitosis detection for invasive breast cancer grading in histopathological images
A Paul, DP Mukherjee
IEEE transactions on image processing 24 (11), 4041-4054, 2015
Regenerative random forest with automatic feature selection to detect mitosis in histopathological breast cancer images
A Paul, A Dey, DP Mukherjee, J Sivaswamy, V Tourani
Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015
Discriminative ensemble learning for few-shot chest x-ray diagnosis
A Paul, YX Tang, TC Shen, RM Summers
Medical image analysis 68, 101911, 2021
Generalized zero-shot chest x-ray diagnosis through trait-guided multi-view semantic embedding with self-training
A Paul, TC Shen, S Lee, N Balachandar, Y Peng, Z Lu, RM Summers
IEEE Transactions on Medical Imaging 40 (10), 2642-2655, 2021
Gland segmentation from histology images using informative morphological scale space
A Paul, DP Mukherjee
2016 IEEE International Conference on Image Processing (ICIP), 4121-4125, 2016
Deterministic dropout for deep neural networks using composite random forest
B Santra, A Paul, DP Mukherjee
Pattern Recognition Letters 131, 205-212, 2020
Calculation of phase fraction in steel microstructure images using random forest classifier
A Paul, A Gangopadhyay, AR Chintha, DP Mukherjee, P Das, S Kundu
IET Image Processing 12 (8), 1370-1377, 2018
Speckle removal using diffusion potential for optical coherence tomography images
A Paul, DP Mukherjee, ST Acton
IEEE journal of biomedical and health informatics 23 (1), 264-272, 2018
Digit recognition from pressure sensor data using Euler number and central moments
A Paul, N Bhattacharya, AS Chowdhury
2012 International Conference on Communications, Devices and Intelligent …, 2012
Fast few-shot transfer learning for disease identification from chest x-ray images using autoencoder ensemble
A Paul, YX Tang, RM Summers
Medical Imaging 2020: Computer-Aided Diagnosis 11314, 33-38, 2020
Reinforced random forest
A Paul, DP Mukherjee
Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and …, 2016
Multilevel UNet for pancreas segmentation from non-contrast CT scans through domain adaptation
SA Sriram, A Paul, Y Zhu, V Sandfort, PJ Pickhardt, RM Summers
Medical Imaging 2020: Computer-Aided Diagnosis 11314, 116-121, 2020
Enhanced random forest for mitosis detection
A Paul, DP Mukherjee
Proceedings of the 2014 Indian conference on computer vision graphics and …, 2014
Reinforced quasi-random forest
A Paul, DP Mukherjee
Pattern Recognition 94, 13-24, 2019
Discriminative autoencoder
A Paul, A Majumdar, DP Mukherjee
2018 25th IEEE International Conference on Image Processing (ICIP), 3049-3053, 2018
Semi-automated tracking of muscle satellite cells in brightfield microscopy video
AS Chowdhury, A Paul, F Bunyak, DDW Cornelison, K Palaniappan
2012 19th IEEE International Conference on Image Processing, 2825-2828, 2012
Learning Few-Shot Chest X-Ray Diagnosis Using Images From The Published Scientific Literature
A Paul, TC Shen, Y Peng, Z Lu, RM Summers
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 344-348, 2021
Universal lesion detection and classification using limited data and weakly-supervised self-training
V Naga, TS Mathai, A Paul, RM Summers
Workshop on Medical Image Learning with Limited and Noisy Data, 55-64, 2022
Detail preserving conditional random field as 2-D RNN for gland segmentation in histology images
A Chattopadhyay, A Paul, DP Mukherjee
Pattern Recognition Letters 159, 38-45, 2022
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