LWSNet - a novel deep-learning architecture to segregate Covid-19 and pneumonia from x-ray imagery von Lasker, Asifuzzaman, Ghosh, Mridul, Obaidullah, Sk Md, Chakraborty, Chandan, Roy, Kaushik

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Application of Machine Learning and Deep Learning Techniques for COVID-19 Screening Using Radiological Imaging: A Comprehensive Review von Lasker, Asifuzzaman, Obaidullah, Sk Md, Chakraborty, Chandan, Roy, Kaushik

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Traditional and deep learning-oriented medical and biological image analysis von Zdimalova, Maria, Ghosh, Mridul, Lasker, Asifuzzaman, Obaidullah, S K Md, Shvydka, R Poornima Svitlana, Boratkova, Kristina, Kopani, Martin

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Segmented-Based and Segmented-Free Approach for COVID-19 Detection von Lasker, Asifuzzaman, Ghosh, Mridul, Das, Sahana, Obaidullah, Sk Md, Chakraborty, Chandan, Goncalves, Teresa, Roy, Kaushik

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Plant Disease Detection and Classification Using a Deep Learning-Based Framework von Ghosh, Mridul, Lasker, Asifuzzaman, Banerjee, Poushali, Manna, Anindita, Obaidullah, Sk Md, Gonçalves, Teresa, Roy, Kaushik

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Ensemble Stack Architecture for Lungs Segmentation from X-ray Images von Lasker, Asifuzzaman, Ghosh, Mridul, Obaidullah, Sk Md, Chakraborty, Chandan, Goncalves, Teresa, Roy, Kaushik

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A Deep Learning-based Framework for COVID-19 Identification using Chest X-Ray Images von Lasker, Asifuzzaman, Ghosh, Mridul, Obaidullah, Sk Md, Chakraborty, Chandan, Roy, Kaushik

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Deep Features for COVID-19 Detection: Performance Evaluation on Multiple Classifiers von Lasker, Asifuzzaman, Ghosh, Mridul, Obaidullah, Sk Md, Chakraborty, Chandan, Roy, Kaushik

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