| 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 | 127 | 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 | 116 | 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 | 109 | 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 | 106 | 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 | 85 | 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 | 81 | 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 | 78 | 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 | 78 | 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 | 69 | 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 | 58 | 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 | 56 | 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 | 50 | 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 | 48 | 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 | 41 | 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 | 41 | 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 | 38 | 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 | 36 | 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 | 31 | 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 | 30 | 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 | 29 | 2016 |
Amber L. SimpsonCanada Research Chair in Biomedical Computing and Informatics, Queen's University在 queensu.ca 的电子邮件经过验证
