Benign-malignant mass classification in mammogram using edge weighted local texture features. - Rinku Rabidas; Abhishek Midya; Anup K. Sadhu; Jayasree Chakraborty (Computer-Aided Diagnosis, 2016)

Analysis of 2D singularities for mammographic mass classification. - Rinku Rabidas; Jayasree Chakraborty; Abhishek Midya (IET Comput. Vis., 2017)

Multi-resolution analysis using integrated microscopic configuration with local patterns for benign-malignant mass classification. - Rinku Rabidas; Abhishek Midya; Jayasree Chakraborty; Anup K. Sadhu; Wasim Arif (Computer-Aided Diagnosis, 2018)

Computer-aided detection and diagnosis of mammographic masses using multi-resolution analysis of oriented tissue patterns. - Jayasree Chakraborty; Abhishek Midya; Rinku Rabidas (Expert Syst. Appl., 2018)

Neighborhood Structural Similarity Mapping for the Classification of Masses in Mammograms. - Rinku Rabidas; Abhishek Midya; Jayasree Chakraborty (IEEE J. Biomed. Health Informatics, 2018)

Detection of Mammographic Masses using FRFCM Optimized by PSO. - Romesh Laishram; Rinku Rabidas (CISP-BMEI, 2020)

Multi-Resolution Analysis of Edge-Texture Features for Mammographic Mass Classification. - Rinku Rabidas; Abhishek Midya; Jayasree Chakraborty; Wasim Arif (J. Circuits Syst. Comput., 2020)

Characterization of mammographic masses based on local photometric attributes. - Rinku Rabidas; Wasim Arif (Multim. Tools Appl., 2020)

WDO optimized detection for mammographic masses and its diagnosis: A unified CAD system. - Romesh Laishram; Rinku Rabidas (Appl. Soft Comput., 2021)

Enhancement of Hazy Images Using Atmospheric Light Estimation Technique. - Kalimuddin Mondal; Rinku Rabidas; Rajdeep Dasgupta; Abhishek Midya; Jayasree Chakraborty (J. Circuits Syst. Comput., 2021)

Optimized hyperbolic tangent function-based contrast-enhanced mammograms for breast mass detection. - Romesh Laishram; Rinku Rabidas (Expert Syst. Appl., 2023)

SqueezeU-Net-based detection and diagnosis of microcalcification in mammograms. - Sujata Kulkarni; Rinku Rabidas (Signal Image Video Process., 2023)

Fully convolutional network for automated detection and diagnosis of mammographic masses. - Sujata Kulkarni; Rinku Rabidas (Multim. Tools Appl., 2023)

Detection of multiple abnormalities of breast cancer in mammograms using a deep dilated fully convolutional neural network. - Sujata Kulkarni; Rinku Rabidas (Comput. Electr. Eng., 2024)

An optimized ensemble classifier for mammographic mass classification. - Romesh Laishram; Rinku Rabidas (Comput. Electr. Eng., 2024)

Single image haze removal using contrast limited adaptive histogram equalization based multiscale fusion technique. - Kalimuddin Mondal; Rinku Rabidas; Rajdeep Dasgupta (Multim. Tools Appl., 2024)

BI-RADS classification of breast masses based on deep contourlet features. - Sujata Kulkarni; Rinku Rabidas (Multim. Tools Appl., 2025)