Distributed cooperative multi-robot path planning using differential evolution. - Jayasree Chakraborty; Amit Konar; Uday Kumar Chakraborty; Lakhmi C. Jain (IEEE Congress on Evolutionary Computation, 2008)

A Multi-Objective Pareto-Optimal Solution to the Box-Pushing Problem by Mobile Robots. - Jayasree Chakraborty; Amit Konar; Atulya Nagar; Hissam Tawfik (EMS, 2008)

Rotation and translation selective Pareto optimal solution to the box-pushing problem by mobile robots using NSGA-II. - Jayasree Chakraborty; Amit Konar; Atulya Nagar; Swagatam Das (IEEE Congress on Evolutionary Computation, 2009)

Cooperative multi-robot path planning using differential evolution. - Jayasree Chakraborty; Amit Konar; Lakhmi C. Jain; Uday Kumar Chakraborty (J. Intell. Fuzzy Syst., 2009)

Detection of masses in mammograms using region growing controlled by multilevel thresholding. - Jayasree Chakraborty; Sudipta Mukhopadhyay; Veenu Singla; Niranjan Khandelwal; Rangaraj M. Rangayyan (CBMS, 2012)

Detection of architectural distortion using coherence in relation to the expected orientation of breast tissue. - Rangaraj M. Rangayyan; Jayasree Chakraborty; Shantanu Banik; Sudipta Mukhopadhyay; J. E. Leo Desautels (CBMS, 2012)

Detection of architectural distortion in prior mammograms using statistical measures of orientation of texture. - Jayasree Chakraborty; Rangaraj M. Rangayyan; Shantanu Banik; Sudipta Mukhopadhyay; J. E. Leo Desautels (Computer-Aided Diagnosis, 2012)

Automatic Detection of Pectoral Muscle Using Average Gradient and Shape Based Feature. - Jayasree Chakraborty; Sudipta Mukhopadhyay; Veenu Singla; Niranjan Khandelwal; Pinakpani Bhattacharyya (J. Digit. Imaging, 2012)

Statistical measures of orientation of texture for the detection of architectural distortion in prior mammograms of interval-cancer. - Jayasree Chakraborty; Rangaraj M. Rangayyan; Shantanu Banik; Sudipta Mukhopadhyay; J. E. Leo Desautels (J. Electronic Imaging, 2012)

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

Automatic localization of the nipple in mammograms using Gabor filters and the Radon transform. - Jayasree Chakraborty; Sudipta Mukhopadhyay; Rangaraj M. Rangayyan; Anup K. Sadhu; Paulo M. Azevedo-Marques (Computer-Aided Diagnosis, 2013)

Measures of divergence of oriented patterns for the detection of architectural distortion in prior mammograms. - Rangaraj M. Rangayyan; Shantanu Banik; Jayasree Chakraborty; Sudipta Mukhopadhyay; J. E. Leo Desautels (Int. J. Comput. Assist. Radiol. Surg., 2013)

A Heuristic Approach to Automated Nipple Detection in Digital Mammograms. - Mainak Jas; Sudipta Mukhopadhyay; Jayasree Chakraborty; Anup K. Sadhu; Niranjan Khandelwal (J. Digit. Imaging, 2013)

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)

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)

Texture analysis for survival prediction of pancreatic ductal adenocarcinoma patients with neoadjuvant chemotherapy. - Jayasree Chakraborty; Liana Langdon-Embry; Joanna G. Escalon; Peter J. Allen; Maeve A. Lowery; Eileen M. O'Reilly; Richard K. G. Do; Amber L. Simpson (Image Processing, 2016)

On fuzzy γ∗-locally closed sets and their applications. - Baby Bhattacharya; Jayasree Chakraborty; Arnab Paul; G. Sree Anusha (IFSA-SCIS, 2017)

Preoperative assessment of microvascular invasion in hepatocellular carcinoma. - Jayasree Chakraborty; Jian Zheng; Mithat Gönen; William R. Jarnagin; Ronald P. DeMatteo; Richard K. G. Do; Amber L. Simpson (Computer-Aided Diagnosis, 2017)

Quantification of CT images for the classification of high- and low-risk pancreatic cysts. - Lior Gazit; Jayasree Chakraborty; Marc A. Attiyeh; Liana Langdon-Embry; Peter J. Allen; Richard K. G. Do; Amber L. Simpson (Computer-Aided Diagnosis, 2017)

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

γ-Hyperconnectedness and fuzzy mappings in fuzzy bitopological spaces. - Arnab Paul; Baby Bhattacharya; Jayasree Chakraborty (J. Intell. Fuzzy Syst., 2017)

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

A Deep Adaptive Convolutional Network for Brain Tumor Segmentation from Multimodal MR Images. - Palash Ghosal; Shanmukha Reddy; Charan Sai; Vikas Pandey; Jayasree Chakraborty; Debashis Nandi (TENCON, 2019)

A Screening CAD Tool for the Detection of Microcalcification Clusters in Mammograms. - Vikrant Anilrao Karale; Joshua Peter Ebenezer; Jayasree Chakraborty; Tulika Singh; Anup K. Sadhu; Niranjan Khandelwal; Sudipta Mukhopadhyay (J. Digit. Imaging, 2019)

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

A combined radiomics and cyst fluid inflammatory markers model to predict preoperative risk in pancreatic cystic lesions. - Travis L. Williams; Kate A. Harrington; Sharon A. Lawrence; Jayasree Chakraborty; Mohammad A. Al Efishat; Marc A. Attiyeh; Gokce Askan; Yuting Chou; Alessandra Pulvirenti; Caitlin A. McIntyre; Mithat Gonen; Olca Basturk; et al. (Image-Guided Procedures, 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)

A new approach for some applications of generalized fuzzy closed sets. - Birojit Das; Jayasree Chakraborty; Gayatri Paul; Baby Bhattacharya (Comput. Appl. Math., 2021)

MhURI: A Supervised Segmentation Approach to Leverage Salient Brain Tissues in Magnetic Resonance Images. - Palash Ghosal; Tamal Chowdhury; Amish Kumar; Ashok Kumar Bhadra; Jayasree Chakraborty; Debashis Nandi (Comput. Methods Programs Biomed., 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)

CT radiomics to predict early hepatic recurrence after resection for intrahepatic cholangiocarcinoma. - Jayasree Chakraborty; Joshua S. Jolissaint; Tiegong Wang; Kevin C. Soares; Mithat Gonen; Linda M. Pak; Thomas Börner; Richard K. G. Do; Vinod P. Balachandran; Michael I. D'Angelica; Jeffrey A. Drebin; T. Peter Kingham; et al. (Computer-Aided Diagnosis, 2022)

Automatic Segmentation of Pancreas and Pancreatic Tumor: A Review of a Decade of Research. - Himali Ghorpade; Jayant Jagtap; Shruti Patil; Ketan Kotecha; Ajith Abraham; Natally Horvat; Jayasree Chakraborty (IEEE Access, 2023)

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)