| 1 |
Semantic segmentation in medical images through transfused convolution and transformer networks |
|
|
| Tashvik Dhamija, Anunay Gupta, Shreyansh Gupta, Anjum, Rahul Katarya, Ghanshyam Singh |
|
| Applied Intelligence. 2022; |
|
| [Pubmed] [Google Scholar] [DOI] |
|
| 2 |
A Novel Radiomics-Based Tumor Volume Segmentation Algorithm for Lung Tumors in FDG-PET/CT after 3D Motion Correction—A Technical Feasibility and Stability Study |
|
|
| Lena Bundschuh, Vesna Prokic, Matthias Guckenberger, Stephanie Tanadini-Lang, Markus Essler, Ralph A. Bundschuh |
|
| Diagnostics. 2022; 12(3): 576 |
|
| [Pubmed] [Google Scholar] [DOI] |
|
| 3 |
Segmentation and identification of spectral and statistical textures for computer medical diagnostics in dermatology |
|
|
| Xinlin Liu, Viktor Krylov, Su Jun, Natalya Volkova, Anatoliy Sachenko, Galina Shcherbakova, Jacek Woloszyn |
|
| Mathematical Biosciences and Engineering. 2022; 19(7): 6923 |
|
| [Pubmed] [Google Scholar] [DOI] |
|
| 4 |
Synchronization of Fractional Order Uncertain BAM Competitive Neural Networks |
|
|
| M. Syed Ali, M. Hymavathi, Syeda Asma Kauser, Grienggrai Rajchakit, Porpattama Hammachukiattikul, Nattakan Boonsatit |
|
| Fractal and Fractional. 2021; 6(1): 14 |
|
| [Pubmed] [Google Scholar] [DOI] |
|
| 5 |
An apta-aggregation based machine learning assay for rapid quantification of lysozyme through texture parameters |
|
|
| Manoharan Sanjay, Kumar Gaurav, Maria Jesus Gonzalez-Pabon, Julio Fuchs, Susan R. Mikkelsen, Eduardo Cortón, Zhaoli Gao |
|
| PLOS ONE. 2021; 16(3): e0248159 |
|
| [Pubmed] [Google Scholar] [DOI] |
|
| 6 |
CT Texture Analysis for Differentiating Bronchiolar Adenoma, Adenocarcinoma In Situ, and Minimally Invasive Adenocarcinoma of the Lung |
|
|
| Jinju Sun, Kaijun Liu, Haipeng Tong, Huan Liu, Xiaoguang Li, Yi Luo, Yang Li, Yun Yao, Rongbing Jin, Jingqin Fang, Xiao Chen |
|
| Frontiers in Oncology. 2021; 11 |
|
| [Pubmed] [Google Scholar] [DOI] |
|
| 7 |
Comparison of different machine learning approaches to detect femoral neck fractures in x-ray images |
|
|
| Koray Açici, Emre Sümer, Salih Beyaz |
|
| Health and Technology. 2021; 11(3): 643 |
|
| [Pubmed] [Google Scholar] [DOI] |
|
| 8 |
Brain tumour classification using saliency driven nonlinear diffusion and deep learning with convolutional neural networks (CNN) |
|
|
| K. Uthra Devi, R. Gomathi |
|
| Journal of Ambient Intelligence and Humanized Computing. 2021; 12(6): 6263 |
|
| [Pubmed] [Google Scholar] [DOI] |
|
| 9 |
Machine learning in geo- and environmental sciences: From small to large scale |
|
|
| Pejman Tahmasebi, Serveh Kamrava, Tao Bai, Muhammad Sahimi |
|
| Advances in Water Resources. 2020; 142: 103619 |
|
| [Pubmed] [Google Scholar] [DOI] |
|
| 10 |
Accelerating Super-Resolution and Visual Task Analysis in Medical Images |
|
|
| Ghada Zamzmi, Sivaramakrishnan Rajaraman, Sameer Antani |
|
| Applied Sciences. 2020; 10(12): 4282 |
|
| [Pubmed] [Google Scholar] [DOI] |
|
| 11 |
Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder–decoder deep networks |
|
|
| Samik Banerjee, Lucas Magee, Dingkang Wang, Xu Li, Bing-Xing Huo, Jaikishan Jayakumar, Katherine Matho, Meng-Kuan Lin, Keerthi Ram, Mohanasankar Sivaprakasam, Josh Huang, Yusu Wang, Partha P. Mitra |
|
| Nature Machine Intelligence. 2020; 2(10): 585 |
|
| [Pubmed] [Google Scholar] [DOI] |
|
| 12 |
Evaluating Routine Variability of Daily Activities in Smart Homes with Image Complexity Measures |
|
|
| Bogyeong Lee, Changbum Ryan Ahn, Prakhar Mohan, Theodora Chaspari, Hyun-Soo Lee |
|
| Journal of Computing in Civil Engineering. 2020; 34(6): 04020042 |
|
| [Pubmed] [Google Scholar] [DOI] |
|
| 13 |
A Weighted Voting Classifiers Ensemble for the Brain Tumors Classification in MR Images |
|
|
| Kimia Rezaei, Hamed Agahi, Azar Mahmoodzadeh |
|
| IETE Journal of Research. 2020; : 1 |
|
| [Pubmed] [Google Scholar] [DOI] |
|
| 14 |
Computer-aided diagnosis of isocitrate dehydrogenase genotypes in glioblastomas from radiomic patterns |
|
|
| Chung-Ming Lo, Rui-Cian Weng, Sho-Jen Cheng, Hung-Jung Wang, Kevin Li-Chun Hsieh |
|
| Medicine. 2020; 99(8): e19123 |
|
| [Pubmed] [Google Scholar] [DOI] |
|
| 15 |
Classification of Ancient Handwritten Tamil Characters on Palm Leaf Inscription Using Modified Adaptive Backpropagation Neural Network with GLCM Features |
|
|
| Poornima Devi. M, M. Sornam |
|
| ACM Transactions on Asian and Low-Resource Language Information Processing. 2020; 19(6): 1 |
|
| [Pubmed] [Google Scholar] [DOI] |
|
| 16 |
Radiomic model for predicting mutations in the isocitrate dehydrogenase gene in glioblastomas |
|
|
| Kevin Li-Chun Hsieh, Cheng-Yu Chen, Chung-Ming Lo |
|
| Oncotarget. 2017; 8(28): 45888 |
|
| [Pubmed] [Google Scholar] [DOI] |
|
| 17 |
Personalized identification of abdominal wall hernia meshes on computed tomography |
|
|
| Tuan D. Pham,Dinh T.P. Le,Jinwei Xu,Duc T. Nguyen,Robert G. Martindale,Clifford W. Deveney |
|
| Computer Methods and Programs in Biomedicine. 2014; 113(1): 153 |
|
| [Pubmed] [Google Scholar] [DOI] |
|
| 18 |
Preparation of 2D sequences of corneal images for 3D model building |
|
|
| Abdulhakim Elbita,Rami Qahwaji,Stanley Ipson,Mhd Saeed Sharif,Faruque Ghanchi |
|
| Computer Methods and Programs in Biomedicine. 2014; 114(2): 194 |
|
| [Pubmed] [Google Scholar] [DOI] |
|
| 19 |
Comparison of the anterior capsulotomy edge created by manual capsulorhexis and 2 femtosecond laser platforms: Scanning electron microscopy study |
|
|
| Khaled Al Harthi,Sami Al Shahwan,Abdulelah Al Towerki,P. Pat Banerjee,Ashley Behrens,Deepak P. Edward |
|
| Journal of Cataract & Refractive Surgery. 2014; |
|
| [Pubmed] [Google Scholar] [DOI] |
|
| 20 |
Segmentation and Classification of Brain CT Images Using Combined Wavelet Statistical Texture Features |
|
|
| A. Padma,R. Sukanesh |
|
| Arabian Journal for Science and Engineering. 2013; |
|
| [Pubmed] [Google Scholar] [DOI] |
|
| 21 |
Wavelet statistical texture features-based segmentation and classification of brain computed tomography images |
|
|
| Nanthagopal, P.A. and Sukanesh, R. |
|
| IET Image Processing. 2013; 7(1): 25-32 |
|
| [Pubmed] [Google Scholar] |
|
| 22 |
Hybrid artificial neural network for abnormal brain image classification |
|
|
| Jude Hemanth, D. and Kezi Selva Vijila, C. and Immanuel Selvakumar, A. and Anitha, J. |
|
| Information (Japan). 2013; 16(1 B): 669-674 |
|
| [Pubmed] [Google Scholar] |
|
| 23 |
Combined texture feature analysis of segmentation and classification of benign and malignant tumour CT slices |
|
|
| Padma, A. and Sukanesh, R. |
|
| Journal of Medical Engineering and Technology. 2013; 37(1): 1-9 |
|
| [Pubmed] [Google Scholar] |
|
| 24 |
Quantifying tumour heterogeneity in 18F-FDG PET/CT imaging by texture analysis |
|
|
| Chicklore, S. and Goh, V. and Siddique, M. and Roy, A. and Marsden, P.K. and Cook, G.J.R. |
|
| European Journal of Nuclear Medicine and Molecular Imaging. 2013; 40(1): 133-140 |
|
| [Pubmed] [Google Scholar] |
|
| 25 |
Patient-Wise Versus Nodule-Wise Classification of Annotated Pulmonary Nodules using Pathologically Confirmed Cases |
|
|
| Preeti Aggarwal,Renu Vig,H K Sardana |
|
| Journal of Computers. 2013; 8(9) |
|
| [Pubmed] [Google Scholar] [DOI] |
|
| 26 |
Customized First and Second Order Statistics Based Operators to Support Advanced Texture Analysis of MRI Images |
|
|
| Danilo Avola,Luigi Cinque,Giuseppe Placidi |
|
| Computational and Mathematical Methods in Medicine. 2013; 2013: 1 |
|
| [Pubmed] [Google Scholar] [DOI] |
|
| 27 |
Quantifying tumour heterogeneity in 18F-FDG PET/CT imaging by texture analysis |
|
|
| Sugama Chicklore,Vicky Goh,Musib Siddique,Arunabha Roy,Paul K. Marsden,Gary J. R. Cook |
|
| European Journal of Nuclear Medicine and Molecular Imaging. 2013; 40(1): 133 |
|
| [Pubmed] [Google Scholar] [DOI] |
|
| 28 |
Time-dependent reduction of structural complexity of the buccal epithelial cell nuclei after treatment with silver nanoparticles |
|
|
| I. PANTIC,J. PAUNOVIC,M. PEROVIC,C. CATTANI,S. PANTIC,S. SUZIC,D. NESIC,G. BASTA-JOVANOVIC |
|
| Journal of Microscopy. 2013; : n/a |
|
| [Pubmed] [Google Scholar] [DOI] |
|
| 29 |
Medical image thresholding using online trained neural networks |
|
|
| Othman, A.A. |
|
| Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2012; 7667 LNCS(PART 5): 672-680 |
|
| [Pubmed] [Google Scholar] |
|
| 30 |
Particulate matter characterization by gray level co-occurrence matrix based support vector machines |
|
|
| Manivannan, K. and Aggarwal, P. and Devabhaktuni, V. and Kumar, A. and Nims, D. and Bhattacharya, P. |
|
| Journal of Hazardous Materials. 2012; 223-224: 94-103 |
|
| [Pubmed] [Google Scholar] |
|
| 31 |
A region-based segmentation of tumour from brain CT images using nonlinear support vector machine classifier |
|
|
| Nanthagopal, A.P. and Rajamony, R.S. |
|
| Journal of Medical Engineering and Technology. 2012; 36(5): 271-277 |
|
| [Pubmed] [Google Scholar] |
|
| 32 |
Particulate matter characterization by gray level co-occurrence matrix based support vector machines |
|
|
| K. Manivannan,P. Aggarwal,V. Devabhaktuni,A. Kumar,D. Nims,P. Bhattacharya |
|
| Journal of Hazardous Materials. 2012; 223-224: 94 |
|
| [Pubmed] [Google Scholar] [DOI] |
|
| 33 |
Performance enhanced hybrid Kohonen-Hopfield neural network for abnormal brain image classification |
|
|
| Hemanth, D.J. and Vijila, C.K.S. and Selvakumar, A.I. and Anitha, J. |
|
| Communications in Computer and Information Science. 2011; 260 CCIS: 356-365 |
|
| [Pubmed] [Google Scholar] |
|
| 34 |
Segmentation of breast ultrasound images using neural networks |
|
|
| Othman, A.A. and Tizhoosh, H.R. |
|
| IFIP Advances in Information and Communication Technology. 2011; 363 AICT(PART 1): 260-269 |
|
| [Pubmed] [Google Scholar] |
|
| 35 |
Matching and retrieval of medical images |
|
|
| Rajaei, A. and Rangarajan, L. |
|
| Advances in Intelligent and Soft Computing. 2011; 91: 27-33 |
|
| [Pubmed] [Google Scholar] |
|
| 36 |
Taxonomy of brain white matter under normal and abnormal conditions using stochastic properties of brain |
|
|
| Kalpana, R. and Muttan, S. and Emmanuel, R. |
|
| Journal of Applied Sciences. 2011; 11(15): 2800-2807 |
|
| [Pubmed] [Google Scholar] |
|
| 37 |
Taxonomy of Brain White Matter under Normal and Abnormal Conditions using Stochastic Properties of Brain |
|
|
| R. Kalpana,S. Muttan,R. Emmanuel |
|
| Journal of Applied Sciences. 2011; 11(15): 2800 |
|
| [Pubmed] [Google Scholar] [DOI] |
|
| 38 |
Validation of Grayscale-Based Quantitative Ultrasound in Manual Wheelchair Users : Relationship to Established Clinical Measures of Shoulder Pathology |
|
|
| Jennifer L. Collinger, Bradley Fullerton, Bradley G. Impink, Alicia M. Koontz, Michael L. Boninger |
|
| American Journal of Physical Medicine & Rehabilitation. 2010; 89(5): 390 |
|
| [HTML Full text] [Google Scholar] [DOI] |
|
| 39 |
Validation of grayscale-based quantitative ultrasound in manual wheelchair users: Relationship to established clinical measures of shoulder pathology |
|
|
| Collinger, J.L. and Fullerton, B. and Impink, B.G. and Koontz, A.M. and Boninger, M.L. |
|
| American Journal of Physical Medicine and Rehabilitation. 2010; 89(5): 390-400 |
|
| [Pubmed] [Google Scholar] |
|
| 40 |
Automated medical image segmentation techniques |
|
|
| Sharma, N., Ray, A.K., Shukla, K.K., Sharma, S., Pradhan, S., Srivastva, A., Aggarwal, L. |
|
| Journal of Medical Physics. 2010; 35(1): 3-14 |
|
| [Pubmed] [Google Scholar] |
|
| 41 |
Reliability of Quantitative Ultrasound Measures of the Biceps and Supraspinatus Tendons |
|
|
| Jennifer L. Collinger,Dany Gagnon,Jon Jacobson,Bradley G. Impink,Michael L. Boninger |
|
| Academic Radiology. 2009; 16(11): 1424 |
|
| [Pubmed] [Google Scholar] [DOI] |
|
| 42 |
Reliability of Quantitative Ultrasound Measures of the Biceps and Supraspinatus Tendons |
|
|
| Collinger, J.L., Gagnon, D., Jacobson, J., Impink, B.G., Boninger, M.L. |
|
| Academic Radiology. 2009; 16(11): 1424-1432 |
|
| [Pubmed] [Google Scholar] |
|
