Jayasree Chakraborty
Orcid: 0000-0003-4434-8861
According to our database1,
Jayasree Chakraborty
authored at least 39 papers
between 2008 and 2023.
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Bibliography
2023
Computerized Diagnosis of Liver Tumors From CT Scans Using a Deep Neural Network Approach.
IEEE J. Biomed. Health Informatics, May, 2023
Automatic Segmentation of Pancreas and Pancreatic Tumor: A Review of a Decade of Research.
IEEE Access, 2023
2022
CT radiomics to predict early hepatic recurrence after resection for intrahepatic cholangiocarcinoma.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
2021
J. Circuits Syst. Comput., 2021
MhURI: A Supervised Segmentation Approach to Leverage Salient Brain Tissues in Magnetic Resonance Images.
Comput. Methods Programs Biomed., 2021
Comput. Appl. Math., 2021
2020
Multi-Resolution Analysis of Edge-Texture Features for Mammographic Mass Classification.
J. Circuits Syst. Comput., 2020
A combined radiomics and cyst fluid inflammatory markers model to predict preoperative risk in pancreatic cystic lesions.
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020
2019
Dynamic background modeling using intensity and orientation distribution of video sequence.
Multim. Tools Appl., 2019
J. Digit. Imaging, 2019
A Deep Adaptive Convolutional Network for Brain Tumor Segmentation from Multimodal MR Images.
Proceedings of the TENCON 2019, 2019
2018
Neighborhood Structural Similarity Mapping for the Classification of Masses in Mammograms.
IEEE J. Biomed. Health Informatics, 2018
Computer-aided detection and diagnosis of mammographic masses using multi-resolution analysis of oriented tissue patterns.
Expert Syst. Appl., 2018
Multi-resolution analysis using integrated microscopic configuration with local patterns for benign-malignant mass classification.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Deep convolutional neural network for the classification of hepatocellular carcinoma and intrahepatic cholangiocarcinoma.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Quantitative CT analysis for the preoperative prediction of pathologic grade in pancreatic neuroendocrine tumors.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
2017
J. Intell. Fuzzy Syst., 2017
IET Comput. Vis., 2017
Quantification of CT images for the classification of high- and low-risk pancreatic cysts.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017
2016
Texture analysis for survival prediction of pancreatic ductal adenocarcinoma patients with neoadjuvant chemotherapy.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
Benign-malignant mass classification in mammogram using edge weighted local texture features.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
2015
Biomed. Signal Process. Control., 2015
Classification of benign and malignant masses in mammograms using multi-resolution analysis of oriented patterns.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2013
J. Digit. Imaging, 2013
Measures of divergence of oriented patterns for the detection of architectural distortion in prior mammograms.
Int. J. Comput. Assist. Radiol. Surg., 2013
Automatic localization of the nipple in mammograms using Gabor filters and the Radon transform.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
Proceedings of the 6th International Conference on Biomedical Engineering and Informatics, 2013
2012
Statistical measures of orientation of texture for the detection of architectural distortion in prior mammograms of interval-cancer.
J. Electronic Imaging, 2012
Automatic Detection of Pectoral Muscle Using Average Gradient and Shape Based Feature.
J. Digit. Imaging, 2012
Detection of architectural distortion in prior mammograms using statistical measures of orientation of texture.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
Detection of architectural distortion using coherence in relation to the expected orientation of breast tissue.
Proceedings of CBMS 2012, 2012
Detection of masses in mammograms using region growing controlled by multilevel thresholding.
Proceedings of CBMS 2012, 2012
2009
J. Intell. Fuzzy Syst., 2009
Rotation and translation selective Pareto optimal solution to the box-pushing problem by mobile robots using NSGA-II.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
2008
A Multi-Objective Pareto-Optimal Solution to the Box-Pushing Problem by Mobile Robots.
Proceedings of the EMS 2008, 2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008