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ORCIDAbhishek Midya
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Journal Articles
- 2023
[j12]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)- 2021
- [j11]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
- [j10]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) - 2019
- [j9]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) - 2018
- [j8]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) - [j7]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) - 2017
- [j6]Rinku Rabidas, Jayasree Chakraborty, Abhishek Midya:
Analysis of 2D singularities for mammographic mass classification. IET Comput. Vis. 11(1): 22-32 (2017) - [j5]Abhishek Midya, Jayasree Chakraborty, Rajeev Ranjan:
Video error concealment through 3-D face model. Multim. Tools Appl. 76(22): 23931-23955 (2017) - [j4]Nihal Paul, Ashish Singh, Abhishek Midya, Partha Pratim Roy, Debi Prosad Dogra:
Moving object detection using modified temporal differencing and local fuzzy thresholding. J. Supercomput. 73(3): 1120-1139 (2017) - 2015
- [j3]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) - [j2]Abhishek Midya, Somnath Sengupta:
Switchable video error concealment using encoder driven scene transition detection and edge preserving SEC. Multim. Tools Appl. 74(6): 2033-2054 (2015) - 2014
- [j1]Abhishek Midya, Rajeev Ranjan, Somnath Sengupta:
Scene content driven FEC allocation for video streaming. Signal Process. Image Commun. 29(1): 37-48 (2014)
Conference and Workshop Papers
- 2018
- [c7]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: 105751N - [c6]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: 105752N - [c5]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: 1057528 - 2016
- [c4]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: 97851X - 2015
- [c3]Abhishek Midya, Jayasree Chakraborty:
Classification of benign and malignant masses in mammograms using multi-resolution analysis of oriented patterns. ISBI 2015: 411-414 - 2013
- [c2]Jayasree Chakraborty, Abhishek Midya, Sudipta Mukhopadhyay, Anup K. Sadhu:
Automatic characterization of masses in mammograms. BMEI 2013: 111-115 - [c1]Tathagata Chakraborti, Abhronil Sengupta, Abhishek Midya, Amit Konar, Somnath Sengupta:
3-D model assisted facial error concealment technique using regenerative particle filter based tracking. ICME Workshops 2013: 1-6
Coauthor Index
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