Abhishek Midya
Abhishek Midya
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CT radiomics to predict high‐risk intraductal papillary mucinous neoplasms of the pancreas
J Chakraborty, A Midya, L Gazit, M Attiyeh, L Langdon‐Embry, PJ Allen, ...
Medical physics 45 (11), 5019-5029, 2018
Influence of CT acquisition and reconstruction parameters on radiomic feature reproducibility
A Midya, J Chakraborty, M Gönen, RKG Do, AL Simpson
Journal of Medical Imaging 5 (1), 011020-011020, 2018
Radiomic feature reproducibility in contrast-enhanced CT of the pancreas is affected by variabilities in scan parameters and manual segmentation
R Yamashita, T Perrin, J Chakraborty, JF Chou, N Horvat, MA Koszalka, ...
European Radiology 30 (1), 195-205, 2020
Short-term reproducibility of radiomic features in liver parenchyma and liver malignancies on contrast-enhanced CT imaging
T Perrin, A Midya, R Yamashita, J Chakraborty, T Saidon, WR Jarnagin, ...
Abdominal Radiology 43 (12), 3271-3278, 2018
Neighborhood structural similarity mapping for the classification of masses in mammograms
R Rabidas, A Midya, J Chakraborty
IEEE journal of biomedical and health informatics 22 (3), 826-834, 2017
Computer-aided detection and diagnosis of mammographic masses using multi-resolution analysis of oriented tissue patterns
J Chakraborty, A Midya, R Rabidas
Expert Systems with Applications 99, 168-179, 2018
Classification of benign and malignant masses in mammograms using multi-resolution analysis of oriented patterns
A Midya, J Chakraborty
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 411-414, 2015
A study of different texture features based on local operator for benign-malignant mass classification
R Rabidas, A Midya, J Chakraborty, W Arif
6th International Conference On Advances In Computing & Communications, IN …, 2016
Deep convolutional neural network for the classification of hepatocellular carcinoma and intrahepatic cholangiocarcinoma
A Midya, J Chakraborty, LM Pak, J Zheng, WR Jarnagin, RKG Do, ...
Medical Imaging 2018: Computer-Aided Diagnosis 10575, 501-506, 2018
Moving object detection using modified temporal differencing and local fuzzy thresholding
N Paul, A Singh, A Midya, PP Roy, DP Dogra
The Journal of Supercomputing 73 (3), 1120-1139, 2017
Automatic characterization of masses in mammograms
J Chakraborty, A Midya, S Mukhopadhyay, A Sadhu
2013 6th International Conference on Biomedical Engineering and Informatics …, 2013
Analysis of 2D singularities for mammographic mass classification
R Rabidas, J Chakraborty, A Midya
IET Computer Vision 11 (1), 22-32, 2017
Recurrence after resection of pancreatic cancer: can radiomics predict patients at greatest risk of liver metastasis?
CP Zambirinis, A Midya, J Chakraborty, JF Chou, J Zheng, CA McIntyre, ...
Annals of Surgical Oncology 29 (8), 4962-4974, 2022
Computer-aided detection of mammographic masses using hybrid region growing controlled by multilevel thresholding
J Chakraborty, A Midya, S Mukhopadhyay, RM Rangayyan, A Sadhu, ...
Journal of Medical and Biological Engineering 39 (3), 352-366, 2019
Benign-malignant mass classification in mammogram using edge weighted local texture features
R Rabidas, A Midya, A Sadhu, J Chakraborty
Medical Imaging 2016: Computer-Aided Diagnosis 9785, 491-496, 2016
Detection of the nipple in mammograms with Gabor filters and the Radon transform
J Chakraborty, A Midya, S Mukhopadhyay, RM Rangayyan, A Sadhu, ...
Biomedical Signal Processing and Control 15, 80-89, 2015
Face detection using skin color modeling and geometric feature
A Verma, S Achyut Raj, A Midya, J Chakraborty
Informatics, Electronics & Vision (ICIEV), 2014 International Conference on, 1-6, 2014
Quantitative imaging features of pretreatment CT predict volumetric response to chemotherapy in patients with colorectal liver metastases
JM Creasy, A Midya, J Chakraborty, LB Adams, C Gomes, M Gonen, ...
European Radiology 29 (1), 458-467, 2019
Edge Weighted Local Texture Features for the Categorization of Mammographic Masses
A Midya, R Rabidas, A Sadhu, J Chakraborty
Journal of Medical and Biological Engineering 38 (3), 457-468, 2018
Quantitative Computed Tomography Image Analysis to Predict Pancreatic Neuroendocrine Tumor Grade
A Pulvirenti, R Yamashita, J Chakraborty, N Horvat, K Seier, CA McIntyre, ...
JCO Clinical Cancer Informatics 5, 679-694, 2021
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