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 | 340 | 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 | 94 | 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 | 61 | 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 | 45 | 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 | 36 | 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 | 23 | 2016 |
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 | 22 | 2018 |
Deterministic dropout for deep neural networks using composite random forest B Santra, A Paul, DP Mukherjee Pattern Recognition Letters 131, 205-212, 2020 | 21 | 2020 |
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 | 17 | 2020 |
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 | 17 | 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 | 16 | 2012 |
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 | 13 | 2020 |
Reinforced random forest A Paul, DP Mukherjee Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and …, 2016 | 12 | 2016 |
Enhanced random forest for mitosis detection A Paul, DP Mukherjee Proceedings of the 2014 Indian conference on computer vision graphics and …, 2014 | 11 | 2014 |
Reinforced quasi-random forest A Paul, DP Mukherjee Pattern Recognition 94, 13-24, 2019 | 10 | 2019 |
Discriminative autoencoder A Paul, A Majumdar, DP Mukherjee 2018 25th IEEE International Conference on Image Processing (ICIP), 3049-3053, 2018 | 9 | 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 | 8 | 2012 |
Differential diagnosis of thyroid nodule capsules using random forest guided selection of image features LG Eftimie, RR Glogojeanu, A Tejaswee, P Gheorghita, SG Stanciu, ... Scientific Reports 12 (1), 21636, 2022 | 7 | 2022 |
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 | 6 | 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 | 6 | 2022 |