Jayasree Chakraborty

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 24

Top Topics

Background Modeling

Texture Features

Brain Tumor Segmentation

Top Venues

Medical Imaging: Computer-Aided Diagnosis

IEEE J. Biomed. Health Informatics

Multim. Tools Appl.

J. Circuits Syst. Comput.

Publications

Himali Ghorpade, Jayant Jagtap, Shruti Patil, Ketan Kotecha, Ajith Abraham, Natally Horvat, Jayasree Chakraborty
Automatic Segmentation of Pancreas and Pancreatic Tumor: A Review of a Decade of Research. IEEE Access 11 (2023)
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, T. Peter Kingham, Richard K. G. Do, William R. Jarnagin, Amber L. Simpson
Computerized Diagnosis of Liver Tumors From CT Scans Using a Deep Neural Network Approach. IEEE J. Biomed. Health Informatics 27 (5) (2023)
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, Alice C. Wei, William R. Jarnagin
CT radiomics to predict early hepatic recurrence after resection for intrahepatic cholangiocarcinoma. Medical Imaging: Computer-Aided Diagnosis (2022)
Kalimuddin Mondal, Rinku Rabidas, Rajdeep Dasgupta, Abhishek Midya, Jayasree Chakraborty
Enhancement of Hazy Images Using Atmospheric Light Estimation Technique. J. Circuits Syst. Comput. 30 (5) (2021)
Palash Ghosal, Tamal Chowdhury, Amish Kumar, Ashok Kumar Bhadra, Jayasree Chakraborty, Debashis Nandi
MhURI: A Supervised Segmentation Approach to Leverage Salient Brain Tissues in Magnetic Resonance Images. Comput. Methods Programs Biomed. 200 (2021)
Birojit Das, Jayasree Chakraborty, Gayatri Paul, Baby Bhattacharya
A new approach for some applications of generalized fuzzy closed sets. Comput. Appl. Math. 40 (2) (2021)
Rinku Rabidas, Abhishek Midya, Jayasree Chakraborty, Wasim Arif
Multi-Resolution Analysis of Edge-Texture Features for Mammographic Mass Classification. J. Circuits Syst. Comput. 29 (10) (2020)
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, Vinod P. Balachandran, T. Peter Kingham, Michael I. D'Angelica, William R. Jarnagin, Jeffrey A. Drebin, Richard K. G. Do, Peter J. Allen, Amber L. Simpson
A combined radiomics and cyst fluid inflammatory markers model to predict preoperative risk in pancreatic cystic lesions. Medical Imaging: Image-Guided Procedures (2020)
Rhittwikraj Moudgollya, Abhishek Midya, Arun Kumar Sunaniya, Jayasree Chakraborty
Dynamic background modeling using intensity and orientation distribution of video sequence. Multim. Tools Appl. 78 (16) (2019)
Palash Ghosal, Shanmukha Reddy, Charan Sai, Vikas Pandey, Jayasree Chakraborty, Debashis Nandi
A Deep Adaptive Convolutional Network for Brain Tumor Segmentation from Multimodal MR Images. TENCON (2019)
Vikrant Anilrao Karale, Joshua Peter Ebenezer, Jayasree Chakraborty, Tulika Singh, Anup K. Sadhu, Niranjan Khandelwal, Sudipta Mukhopadhyay
A Screening CAD Tool for the Detection of Microcalcification Clusters in Mammograms. J. Digit. Imaging 32 (5) (2019)
Jayasree Chakraborty, Abhishek Midya, Rinku Rabidas
Computer-aided detection and diagnosis of mammographic masses using multi-resolution analysis of oriented tissue patterns. Expert Syst. Appl. 99 (2018)
Abhishek Midya, Jayasree Chakraborty, Linda M. Pak, Jian Zheng, William R. Jarnagin, Richard K. G. Do, Amber L. Simpson
Deep convolutional neural network for the classification of hepatocellular carcinoma and intrahepatic cholangiocarcinoma. Medical Imaging: Computer-Aided Diagnosis (2018)
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
Quantitative CT analysis for the preoperative prediction of pathologic grade in pancreatic neuroendocrine tumors. Medical Imaging: Computer-Aided Diagnosis (2018)
Rinku Rabidas, Abhishek Midya, Jayasree Chakraborty, Anup K. Sadhu, Wasim Arif
Multi-resolution analysis using integrated microscopic configuration with local patterns for benign-malignant mass classification. Medical Imaging: Computer-Aided Diagnosis (2018)
Rinku Rabidas, Abhishek Midya, Jayasree Chakraborty
Neighborhood Structural Similarity Mapping for the Classification of Masses in Mammograms. IEEE J. Biomed. Health Informatics 22 (3) (2018)
Jayasree Chakraborty, Jian Zheng, Mithat Gönen, William R. Jarnagin, Ronald P. DeMatteo, Richard K. G. Do, Amber L. Simpson
Preoperative assessment of microvascular invasion in hepatocellular carcinoma. Medical Imaging: Computer-Aided Diagnosis (2017)
Rinku Rabidas, Jayasree Chakraborty, Abhishek Midya
Analysis of 2D singularities for mammographic mass classification. IET Comput. Vis. 11 (1) (2017)
Baby Bhattacharya, Jayasree Chakraborty, Arnab Paul, G. Sree Anusha
On fuzzy γ∗-locally closed sets and their applications. IFSA-SCIS (2017)
Arnab Paul, Baby Bhattacharya, Jayasree Chakraborty
γ-Hyperconnectedness and fuzzy mappings in fuzzy bitopological spaces. J. Intell. Fuzzy Syst. 32 (3) (2017)
Lior Gazit, Jayasree Chakraborty, Marc A. Attiyeh, Liana Langdon-Embry, Peter J. Allen, Richard K. G. Do, Amber L. Simpson
Quantification of CT images for the classification of high- and low-risk pancreatic cysts. Medical Imaging: Computer-Aided Diagnosis (2017)
Abhishek Midya, Jayasree Chakraborty, Rajeev Ranjan
Video error concealment through 3-D face model. Multim. Tools Appl. 76 (22) (2017)
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
Texture analysis for survival prediction of pancreatic ductal adenocarcinoma patients with neoadjuvant chemotherapy. Medical Imaging: Image Processing (2016)
Rinku Rabidas, Abhishek Midya, Anup K. Sadhu, Jayasree Chakraborty
Benign-malignant mass classification in mammogram using edge weighted local texture features. Medical Imaging: Computer-Aided Diagnosis (2016)
Jayasree Chakraborty, Abhishek Midya, Sudipta Mukhopadhyay, Rangaraj M. Rangayyan, Anup K. Sadhu, Veenu Singla, Niranjan Khandelwal, Pinakpani Bhattacharyya, Paulo M. Azevedo-Marques
Detection of the nipple in mammograms with Gabor filters and the Radon transform. Biomed. Signal Process. Control. 15 (2015)
Abhishek Midya, Jayasree Chakraborty
Classification of benign and malignant masses in mammograms using multi-resolution analysis of oriented patterns. ISBI (2015)
Jayasree Chakraborty, Abhishek Midya, Sudipta Mukhopadhyay, Anup K. Sadhu
Automatic characterization of masses in mammograms. BMEI (2013)
Jayasree Chakraborty, Sudipta Mukhopadhyay, Rangaraj M. Rangayyan, Anup K. Sadhu, Paulo M. Azevedo-Marques
Automatic localization of the nipple in mammograms using Gabor filters and the Radon transform. Medical Imaging: Computer-Aided Diagnosis (2013)
Mainak Jas, Sudipta Mukhopadhyay, Jayasree Chakraborty, Anup K. Sadhu, Niranjan Khandelwal
A Heuristic Approach to Automated Nipple Detection in Digital Mammograms. J. Digit. Imaging 26 (5) (2013)
Rangaraj M. Rangayyan, Shantanu Banik, Jayasree Chakraborty, Sudipta Mukhopadhyay, J. E. Leo Desautels
Measures of divergence of oriented patterns for the detection of architectural distortion in prior mammograms. Int. J. Comput. Assist. Radiol. Surg. 8 (4) (2013)
Jayasree Chakraborty, Rangaraj M. Rangayyan, Shantanu Banik, Sudipta Mukhopadhyay, J. E. Leo Desautels
Statistical measures of orientation of texture for the detection of architectural distortion in prior mammograms of interval-cancer. J. Electronic Imaging 21 (3) (2012)
Rangaraj M. Rangayyan, Jayasree Chakraborty, Shantanu Banik, Sudipta Mukhopadhyay, J. E. Leo Desautels
Detection of architectural distortion using coherence in relation to the expected orientation of breast tissue. CBMS (2012)
Jayasree Chakraborty, Rangaraj M. Rangayyan, Shantanu Banik, Sudipta Mukhopadhyay, J. E. Leo Desautels
Detection of architectural distortion in prior mammograms using statistical measures of orientation of texture. Medical Imaging: Computer-Aided Diagnosis (2012)
Jayasree Chakraborty, Sudipta Mukhopadhyay, Veenu Singla, Niranjan Khandelwal, Rangaraj M. Rangayyan
Detection of masses in mammograms using region growing controlled by multilevel thresholding. CBMS (2012)
Jayasree Chakraborty, Sudipta Mukhopadhyay, Veenu Singla, Niranjan Khandelwal, Pinakpani Bhattacharyya
Automatic Detection of Pectoral Muscle Using Average Gradient and Shape Based Feature. J. Digit. Imaging 25 (3) (2012)
Jayasree Chakraborty, Amit Konar, Atulya Nagar, Swagatam Das
Rotation and translation selective Pareto optimal solution to the box-pushing problem by mobile robots using NSGA-II. IEEE Congress on Evolutionary Computation (2009)
Jayasree Chakraborty, Amit Konar, Lakhmi C. Jain, Uday Kumar Chakraborty
Cooperative multi-robot path planning using differential evolution. J. Intell. Fuzzy Syst. 20 (1-2) (2009)
Jayasree Chakraborty, Amit Konar, Uday Kumar Chakraborty, Lakhmi C. Jain
Distributed cooperative multi-robot path planning using differential evolution. IEEE Congress on Evolutionary Computation (2008)
Jayasree Chakraborty, Amit Konar, Atulya Nagar, Hissam Tawfik
A Multi-Objective Pareto-Optimal Solution to the Box-Pushing Problem by Mobile Robots. EMS (2008)