Automatic characterization of masses in mammograms. - Jayasree Chakraborty; Abhishek Midya; Sudipta Mukhopadhyay; Anup K. Sadhu (BMEI, 2013)

3-D model assisted facial error concealment technique using regenerative particle filter based tracking. - Tathagata Chakraborti; Abhronil Sengupta; Abhishek Midya; Amit Konar; Somnath Sengupta (ICME Workshops, 2013)

Scene content driven FEC allocation for video streaming. - Abhishek Midya; Rajeev Ranjan 003; Somnath Sengupta (Signal Process. Image Commun., 2014)

Classification of benign and malignant masses in mammograms using multi-resolution analysis of oriented patterns. - Abhishek Midya; Jayasree Chakraborty (ISBI, 2015)

Detection of the nipple in mammograms with Gabor filters and the Radon transform. - Jayasree Chakraborty; Abhishek Midya; Sudipta Mukhopadhyay; Rangaraj M. Rangayyan; Anup K. Sadhu; Veenu Singla; Niranjan Khandelwal; Pinakpani Bhattacharyya; Paulo M. Azevedo-Marques (Biomed. Signal Process. Control., 2015)

Switchable video error concealment using encoder driven scene transition detection and edge preserving SEC. - Abhishek Midya; Somnath Sengupta (Multim. Tools Appl., 2015)

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)

Video error concealment through 3-D face model. - Abhishek Midya; Jayasree Chakraborty; Rajeev Ranjan 003 (Multim. Tools Appl., 2017)

Moving object detection using modified temporal differencing and local fuzzy thresholding. - Nihal Paul; Ashish Singh; Abhishek Midya; Partha Pratim Roy 001; Debi Prosad Dogra (J. Supercomput., 2017)

Quantitative CT analysis for the preoperative prediction of pathologic grade in pancreatic neuroendocrine tumors. - Jayasree Chakraborty; Alessandra Pulvirenti; Rikiya Yamashita; Abhishek Midya; Mithat Gönen; David S. Klimstra; Diane L. Reidy; Peter J. Allen; Richard K. G. Do; Amber L. Simpson (Computer-Aided Diagnosis, 2018)

Deep convolutional neural network for the classification of hepatocellular carcinoma and intrahepatic cholangiocarcinoma. - Abhishek Midya; Jayasree Chakraborty; Linda M. Pak; Jian Zheng; William R. Jarnagin; Richard K. G. Do; Amber L. Simpson (Computer-Aided Diagnosis, 2018)

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)

Dynamic background modeling using intensity and orientation distribution of video sequence. - Rhittwikraj Moudgollya; Abhishek Midya; Arun Kumar Sunaniya; Jayasree Chakraborty (Multim. Tools Appl., 2019)

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

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

Computerized Diagnosis of Liver Tumors From CT Scans Using a Deep Neural Network Approach. - Abhishek Midya; Jayasree Chakraborty; Rami Srouji; Raja R. Narayan; Thomas Börner; Jian Zheng; Linda M. Pak; John M. Creasy; Luz A. Escobar; Kate A. Harrington; Mithat Gönen; Michael I. D'Angelica; et al. (IEEE J. Biomed. Health Informatics, 2023)