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ORCIDJayasree Chakraborty
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2020 – today
- 2023
[j19]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: 108727-108745 (2023)- [j18]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): 2456-2464 (2023) - 2022
- [c20]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. Computer-Aided Diagnosis 2022 - 2021
- [j17]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) - [j16]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: 105841 (2021) - [j15]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): 2150078:1-2150078:25 (2021) - 2020
- [j14]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): 2050156:1-2050156:19 (2020) - [c19]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. Image-Guided Procedures 2020: 113151Q
2010 – 2019
- 2019
- [j13]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): 728-745 (2019) - [j12]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): 22537-22554 (2019) - [c18]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: 1065-1070 - 2018
- [j11]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: 168-179 (2018) - [j10]Rinku Rabidas, Abhishek Midya, Jayasree Chakraborty:
Neighborhood Structural Similarity Mapping for the Classification of Masses in Mammograms. IEEE J. Biomed. Health Informatics 22(3): 826-834 (2018) - [c17]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. Computer-Aided Diagnosis 2018: 105751N - [c16]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. Computer-Aided Diagnosis 2018: 105752N - [c15]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. Computer-Aided Diagnosis 2018: 1057528 - 2017
- [j9]Rinku Rabidas, Jayasree Chakraborty, Abhishek Midya:
Analysis of 2D singularities for mammographic mass classification. IET Comput. Vis. 11(1): 22-32 (2017) - [j8]Arnab Paul, Baby Bhattacharya, Jayasree Chakraborty:
γ-Hyperconnectedness and fuzzy mappings in fuzzy bitopological spaces. J. Intell. Fuzzy Syst. 32(3): 1815-1820 (2017) - [j7]Abhishek Midya, Jayasree Chakraborty, Rajeev Ranjan:
Video error concealment through 3-D face model. Multim. Tools Appl. 76(22): 23931-23955 (2017) - [c14]Baby Bhattacharya, Jayasree Chakraborty, Arnab Paul, G. Sree Anusha:
On fuzzy γ∗-locally closed sets and their applications. IFSA-SCIS 2017: 1-6 - [c13]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. Computer-Aided Diagnosis 2017: 101340X - [c12]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. Computer-Aided Diagnosis 2017: 1013410 - 2016
- [c11]Rinku Rabidas, Abhishek Midya, Anup K. Sadhu, Jayasree Chakraborty:
Benign-malignant mass classification in mammogram using edge weighted local texture features. Computer-Aided Diagnosis 2016: 97851X - [c10]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. Image Processing 2016: 97841W - 2015
- [j6]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: 80-89 (2015) - [c9]Abhishek Midya, Jayasree Chakraborty:
Classification of benign and malignant masses in mammograms using multi-resolution analysis of oriented patterns. ISBI 2015: 411-414 - 2013
- [j5]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): 527-545 (2013) - [j4]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): 932-940 (2013) - [c8]Jayasree Chakraborty, Abhishek Midya, Sudipta Mukhopadhyay, Anup K. Sadhu:
Automatic characterization of masses in mammograms. BMEI 2013: 111-115 - [c7]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. Computer-Aided Diagnosis 2013: 86701S - 2012
- [j3]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): 387-399 (2012) - [j2]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): 033010 (2012) - [c6]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: 1-6 - [c5]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: 1-4 - [c4]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. Computer-Aided Diagnosis 2012: 831521
2000 – 2009
- 2009
- [j1]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): 13-27 (2009) - [c3]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: 2120-2126 - 2008
- [c2]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: 718-725 - [c1]Jayasree Chakraborty, Amit Konar, Atulya Nagar, Hissam Tawfik:
A Multi-Objective Pareto-Optimal Solution to the Box-Pushing Problem by Mobile Robots. EMS 2008: 70-75
Coauthor Index
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