Jayasree Chakraborty
Jayasree Chakraborty
Hepatopancreatobiliary Service, Memorial Sloan Kettering Cancer Center
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Brain tumor classification using ResNet-101 based squeeze and excitation deep neural network
P Ghosal, L Nandanwar, S Kanchan, A Bhadra, J Chakraborty, D Nandi
2019 Second International Conference on Advanced Computational and …, 2019
Survival prediction in pancreatic ductal adenocarcinoma by quantitative computed tomography image analysis
MA Attiyeh, J Chakraborty, A Doussot, L Langdon-Embry, S Mainarich, ...
Annals of surgical oncology 25, 1034-1042, 2018
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
Radiomics-based prediction of microsatellite instability in colorectal cancer at initial computed tomography evaluation
JS Golia Pernicka, J Gagniere, J Chakraborty, R Yamashita, L Nardo, ...
Abdominal Radiology 44, 3755-3763, 2019
Cooperative multi-robot path planning using differential evolution
J Chakraborty, A Konar, LC Jain, UK Chakraborty
Journal of Intelligent & Fuzzy Systems 20 (1-2), 13-27, 2009
Preliminary study of tumor heterogeneity in imaging predicts two year survival in pancreatic cancer patients
J Chakraborty, L Langdon-Embry, KM Cunanan, JG Escalon, PJ Allen, ...
PloS one 12 (12), e0188022, 2017
Preoperative prediction of microvascular invasion in hepatocellular carcinoma using quantitative image analysis
J Zheng, J Chakraborty, WC Chapman, S Gerst, M Gonen, LM Pak, ...
Journal of the American College of Surgeons 225 (6), 778-788. e1, 2017
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, 195-205, 2020
Automatic detection of pectoral muscle using average gradient and shape based feature
J Chakraborty, S Mukhopadhyay, V Singla, N Khandelwal, ...
Journal of digital imaging 25, 387-399, 2012
Distributed cooperative multi-robot path planning using differential evolution
J Chakraborty, A Konar, UK Chakraborty, LC Jain
2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on …, 2008
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, 3271-3278, 2018
Preoperative risk prediction for intraductal papillary mucinous neoplasms by quantitative CT image analysis
MA Attiyeh, J Chakraborty, L Gazit, L Langdon-Embry, M Gonen, ...
Hpb 21 (2), 212-218, 2019
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
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
CT radiomics associations with genotype and stromal content in pancreatic ductal adenocarcinoma
MA Attiyeh, J Chakraborty, CA McIntyre, R Kappagantula, Y Chou, ...
Abdominal Radiology 44, 3148-3157, 2019
Statistical measures of orientation of texture for the detection of architectural distortion in prior mammograms of interval-cancer
J Chakraborty, RM Rangayyan, S Banik, S Mukhopadhyay, ...
Journal of Electronic Imaging 21 (3), 033010-033010, 2012
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
Measures of divergence of oriented patterns for the detection of architectural distortion in prior mammograms
RM Rangayyan, S Banik, J Chakraborty, S Mukhopadhyay, ...
International journal of computer assisted radiology and surgery 8, 527-545, 2013
A study of different texture features based on local operator for benign-malignant mass classification
R Rabidas, A Midya, J Chakraborty, W Arif
Procedia Computer Science 93, 389-395, 2016
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