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Abhishek Midya · SciRah

Researcher profile · Semantic Scholar

Abhishek Midya

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Abhishek Midya — researcher profile on SciRah

h-index: 16
Works: 39
Citations: 776

Most-cited papers

CT Radiomics to Predict High Risk Intraductal Papillary Mucinous Neoplasms of the Pancreas
Jayasree Chakraborty, Abhishek Midya, Lior Gazit, M. Attiyeh +4 more
2018Medical Physics (Lancaster)112 citations Open access
Semantic Scholar
Influence of CT acquisition and reconstruction parameters on radiomic feature reproducibility
Abhishek Midya, Jayasree Chakraborty, M. Gönen, R. Do +1 more
2018Journal of Medical Imaging105 citations Open access
Semantic Scholar
Radiomic Feature Reproducibility in Contrast-Enhanced CT of the Pancreas is Affected by Variabilities in Scan Parameters and Manual Segmentation
R. Yamashita, T. Perrin, Jayasree Chakraborty, Joanne F. Chou +8 more
2019European Radiology71 citations Open access
Semantic Scholar
Short-term reproducibility of radiomic features in liver parenchyma and liver malignancies on contrast-enhanced CT imaging
T. Perrin, Abhishek Midya, R. Yamashita, Jayasree Chakraborty +5 more
2018Abdominal Radiology49 citations Open access
Semantic Scholar
Computer-aided detection and diagnosis of mammographic masses using multi-resolution analysis of oriented tissue patterns
Jayasree Chakraborty, Abhishek Midya, Rinku Rabidas
2018Expert systems with applications42 citations
Semantic Scholar
Computerized diagnosis of liver tumors from CT scans using a deep neural network approach
Abhishek Midya, Jayasree Chakraborty, Rami M. Srouji, R. Narayan +12 more
2023IEEE journal of biomedical and health informatics41 citations Open access
Semantic Scholar
Neighborhood Structural Similarity Mapping for the Classification of Masses in Mammograms
Rinku Rabidas, Abhishek Midya, Jayasree Chakraborty
2018IEEE journal of biomedical and health informatics38 citations
Semantic Scholar
Recurrence after Resection of Pancreatic Cancer: Can Radiomics Predict Patients at Greatest Risk of Liver Metastasis?
C. Zambirinis, Abhishek Midya, Jayasree Chakraborty, Joanne F. Chou +13 more
2022Annals of Surgical Oncology32 citations Open access
Semantic Scholar
Classification of benign and malignant masses in mammograms using multi-resolution analysis of oriented patterns
Abhishek Midya, Jayasree Chakraborty
2015IEEE International Symposium on Biomedical Imaging28 citations
Semantic Scholar
Deep convolutional neural network for the classification of hepatocellular carcinoma and intrahepatic cholangiocarcinoma
Abhishek Midya, Jayasree Chakraborty, L. Pak, Jian Zheng +3 more
2018Medical Imaging26 citations
Semantic Scholar
A Study of Different Texture Features Based on Local Operator for Benign-malignant Mass Classification☆
Rinku Rabidas, Abhishek Midya, Jayasree Chakraborty, Wasim Arif
201621 citations Open access
Semantic Scholar
Automatic characterization of masses in mammograms
Jayasree Chakraborty, Abhishek Midya, Sudipta Mukhopadhyay, Anup K. Sadhu
2013International Conference on BioMedical Engineering and Informatics19 citations
Semantic Scholar
Computer-Aided Detection of Mammographic Masses Using Hybrid Region Growing Controlled by Multilevel Thresholding
Jayasree Chakraborty, Abhishek Midya, Sudipta Mukhopadhyay, R. Rangayyan +3 more
2018Journal of Medical and Biological Engineering18 citations
Semantic Scholar
Moving object detection using modified temporal differencing and local fuzzy thresholding
N. Paul, Ashish Singh, Abhishek Midya, P. Roy +1 more
2017Journal of Supercomputing18 citations
Semantic Scholar
Quantitative Computed Tomography Image Analysis to Predict Pancreatic Neuroendocrine Tumor Grade.
A. Pulvirenti, R. Yamashita, Jayasree Chakraborty, N. Horvat +11 more
2021JCO Clinical Cancer Informatics17 citations Open access
Semantic Scholar
Analysis of 2D singularities for mammographic mass classification
Rinku Rabidas, Jayasree Chakraborty, Abhishek Midya
2017IET Computer Vision16 citations
Semantic Scholar
Quantitative imaging features of pre-treatment CT predict volumetric response to chemotherapy in patients with colorectal liver metastases
J. Creasy, Abhishek Midya, Jayasree Chakraborty, Lauryn B. Adams +15 more
2018European Radiology15 citations Open access
Semantic Scholar
Edge Weighted Local Texture Features for the Categorization of Mammographic Masses
Abhishek Midya, Rinku Rabidas, Anup K. Sadhu, Jayasree Chakraborty
2017Journal of Medical and Biological Engineering13 citations
Semantic Scholar
Benign-malignant mass classification in mammogram using edge weighted local texture features
Rinku Rabidas, Abhishek Midya, Anup K. Sadhu, Jayasree Chakraborty
2016SPIE Medical Imaging12 citations
Semantic Scholar
Face detection using skin color modeling and geometric feature
A. Verma, S. Raj, Abhishek Midya, Jayasree Chakraborty
2014International Conference on Informatics, Electronics and Vision12 citations
Semantic Scholar
Detection of the nipple in mammograms with Gabor filters and the Radon transform
Jayasree Chakraborty, Abhishek Midya, Sudipta Mukhopadhyay, R. Rangayyan +5 more
2015Biomedical Signal Processing and Control11 citations
Semantic Scholar
Switchable video error concealment using encoder driven scene transition detection and edge preserving SEC
Abhishek Midya, S. Sengupta
2013Multimedia tools and applications7 citations
Semantic Scholar
Hybrid temporal/spatial error concealment strategy robust to scene transitions
Abhishek Midya, S. Sengupta
2011Proceedings of 2011 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing7 citations
Semantic Scholar
Use of Response Permutation to Measure an Imaging Dataset’s Susceptibility to Overfitting by Selected Standard Analysis Pipelines
Jayasree Chakraborty, Abhishek Midya, B. F. Kurland, Mattea L. Welch +3 more
2024Academic Radiology6 citations Open access
Semantic Scholar
Dynamic background modeling using intensity and orientation distribution of video sequence
Rhittwikraj Moudgollya, Abhishek Midya, A. K. Sunaniya, Jayasree Chakraborty
2019Multimedia tools and applications6 citations
Semantic Scholar
Multi-resolution analysis using integrated microscopic configuration with local patterns for benign-malignant mass classification
Rinku Rabidas, Abhishek Midya, Jayasree Chakraborty, Anup K. Sadhu +1 more
2018Medical Imaging6 citations
Semantic Scholar
Scene content driven FEC allocation for video streaming
Abhishek Midya, R. Ranjan, S. Sengupta
2014Signal processing. Image communication6 citations
Semantic Scholar
2021 Advanced Communication Technologies and Signal Processing (ACTS)
Poonam Singh, P. K. Sharma, Nit Rourkela, Wasim Arif +163 more
20212021 Advanced Communication Technologies and Signal Processing (ACTS)5 citations Open access
Semantic Scholar
A multi features based background modelling approach for moving object detection
Rhittwikraj Moudgollya, A. K. Sunaniya, Abhishek Midya, Jayasree Chakraborty
2022Optik (Stuttgart)4 citations Open access
Semantic Scholar
Scene transition based adaptive GOP selection for increasing coding efficiency & resiliency
Abhishek Midya, S. Sengupta
2012International Conference on Informatics, Electronics and Vision4 citations
Semantic Scholar
Postoperative Pancreatic Fistula After Pancreatoduodenectomy: Can Radiomics Improve Clinical Risk Scores?
Ankur P. Choubey, Joséphine Magnin, J. Gagniére, Abhishek Midya +14 more
2025Annals of Surgery3 citations
Semantic Scholar
Enhancement of Hazy Images Using Atmospheric Light Estimation Technique
K. Mondal, Rinku Rabidas, R. Dasgupta, Abhishek Midya +1 more
2020J. Circuits Syst. Comput.2 citations
Semantic Scholar
Quantitative CT analysis for the preoperative prediction of pathologic grade in pancreatic neuroendocrine tumors
Jayasree Chakraborty, A. Pulvirenti, R. Yamashita, Abhishek Midya +6 more
2018Medical Imaging2 citations
Semantic Scholar
Video error concealment through 3-D face model
Abhishek Midya, Jayasree Chakraborty, Rajeev Ranjan
2016Multimedia tools and applications2 citations
Semantic Scholar
Multi-Resolution Analysis of Edge-Texture Features for Mammographic Mass Classification
Rinku Rabidas, Abhishek Midya, Jayasree Chakraborty, Wasim Arif
2020J. Circuits Syst. Comput.1 citations
Semantic Scholar
Texture analysis of gradient images for benign-malignant mass classification
Rinku Rabidas, Abhishek Midya, Jayasree Chakraborty, Wasim Arif
2017SPIN1 citations
Semantic Scholar
Video error concealment using Speeded Up Robust Features and affine transformation
Aravind Ranjan, Abhishek Midya, Jayasree Chakraborty, S. Sengupta
2014Proceedings of the 2014 IEEE Students' Technology Symposium1 citations
Semantic Scholar
3-D model assisted facial error concealment technique using regenerative particle filter based tracking
Tathagata Chakraborti, Abhronil Sengupta, Abhishek Midya, A. Konar +1 more
20132013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)1 citations
Semantic Scholar
ASO Visual Abstract: Recurrence After Resection of Pancreatic Cancer – Can Radiomics Predict Patients at Greatest Risk of Liver Metastasis?
C. Zambirinis, Abhishek Midya, Jayasree Chakraborty, Joanne F. Chou +13 more
2022Annals of Surgical Oncology0 citations
Semantic Scholar
Moving object detection using modified temporal differencing and local fuzzy thresholding
N. Paul, A. Singh, Abhishek Midya, P. Roy +1 more
2016Journal of Supercomputing0 citations
Semantic Scholar

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