| Computer-aided detection and diagnosis of mammographic masses using multi-resolution analysis of oriented tissue patterns J Chakraborty, A Midya, R Rabidas Expert Systems with Applications 99, 168-179, 2018 | 41 | 2018 |
| Neighborhood structural similarity mapping for the classification of masses in mammograms R Rabidas, A Midya, J Chakraborty IEEE journal of biomedical and health informatics 22 (3), 826-834, 2017 | 41 | 2017 |
| A study of different texture features based on local operator for benign-malignant mass classification R Rabidas, A Midya, J Chakraborty, W Arif Procedia Computer Science 93, 389-395, 2016 | 30 | 2016 |
| Analysis of 2D singularities for mammographic mass classification R Rabidas, J Chakraborty, A Midya IET Computer Vision 11 (1), 22-32, 2017 | 20 | 2017 |
| WDO optimized detection for mammographic masses and its diagnosis: A unified CAD system R Laishram, R Rabidas Applied Soft Computing 110, 107620, 2021 | 15 | 2021 |
| Benign-malignant mass classification in mammogram using edge weighted local texture features R Rabidas, A Midya, A Sadhu, J Chakraborty Medical Imaging 2016: Computer-Aided Diagnosis 9785, 491-496, 2016 | 15 | 2016 |
| Edge weighted local texture features for the categorization of mammographic masses A Midya, R Rabidas, A Sadhu, J Chakraborty Journal of Medical and Biological Engineering 38, 457-468, 2018 | 11 | 2018 |
| Single image haze removal using contrast limited adaptive histogram equalization based multiscale fusion technique K Mondal, R Rabidas, R Dasgupta Multimedia Tools and Applications 83 (5), 15413-15438, 2024 | 10 | 2024 |
| Optimized hyperbolic tangent function-based contrast-enhanced mammograms for breast mass detection R Laishram, R Rabidas Expert Systems with Applications 213, 118994, 2023 | 9 | 2023 |
| Characterization of mammographic masses based on local photometric attributes R Rabidas, W Arif Multimedia Tools and Applications 79, 21967-21985, 2020 | 9 | 2020 |
| A comparative study of different deep learning architectures for benign-malignant mass classification S Kulkarni, R Rabidas Proceedings of the 2nd International Conference on Recent Trends in Machine …, 2022 | 6 | 2022 |
| Multi-resolution analysis using integrated microscopic configuration with local patterns for benign-malignant mass classification R Rabidas, A Midya, J Chakraborty, A Sadhu, W Arif Medical Imaging 2018: Computer-Aided Diagnosis 10575, 599-604, 2018 | 6 | 2018 |
| Detection of mammographic masses using frfcm optimized by pso R Laishram, R Rabidas 2020 13th International Congress on Image and Signal Processing, BioMedical …, 2020 | 4 | 2020 |
| Fully convolutional network for automated detection and diagnosis of mammographic masses S Kulkarni, R Rabidas Multimedia Tools and Applications 82 (29), 44819-44840, 2023 | 3 | 2023 |
| Enhancement of hazy images using atmospheric light estimation technique K Mondal, R Rabidas, R Dasgupta, A Midya, J Chakraborty Journal of Circuits, Systems and Computers 30 (05), 2150078, 2021 | 3 | 2021 |
| Texture analysis of gradient images for benign-malignant mass classification R Rabidas, A Midya, J Chakraborty, W Arif 2017 4th International Conference on Signal Processing and Integrated …, 2017 | 3 | 2017 |
| Investigation and Improvement of VGG based Encoder-Decoder Architecture for Background Subtraction R Rabidas, DK Ravi, S Pradhan, R Moudgollya, A Ganguly 2020 Advanced Communication Technologies and Signal Processing (ACTS), 1-6, 2020 | 2 | 2020 |
| SqueezeU-Net-based detection and diagnosis of microcalcification in mammograms S Kulkarni, R Rabidas Signal, Image and Video Processing 17 (2), 435-443, 2023 | 1 | 2023 |
| Benign–Malignant Mass Characterization Based on Multi-gradient Quinary Patterns R Rabidas, R Laishram, A Roy Advances in Smart Communication and Imaging Systems: Select Proceedings of …, 2021 | 1 | 2021 |
| Improved switching vector median filter for removal of impulse noise from color images A Roy, S Chandra, R Rabidas Advances in Smart Communication and Imaging Systems: Select Proceedings of …, 2021 | 1 | 2021 |
Jayasree ChakrabortyHepatopancreatobiliary Service, Memorial Sloan Kettering Cancer Center在 mskcc.org 的电子邮件经过验证
Jayasree ChakrabortyHepatopancreatobiliary Service, Memorial Sloan Kettering Cancer Center在 mskcc.org 的电子邮件经过验证
Abhishek MidyaEmory University在 emory.edu 的电子邮件经过验证