Nancy MartinezThe Future of Healthcare: How Biomedical Engineering Innovations in Berlin are Revolutionizing…Introduction3d ago
Ayyuce DemirbasU-Mamba: A Novel Approach to Biomedical Image SegmentationU-Mamba introduces an innovative network architecture for segmenting biomedical images, combining the advantages of Convolutional Neural…Feb 41
Enricco GemhaCombining Machine Learning and Supercomputing for Large-scale Biomedical Image Analysis Problems @…Diego Rossinelli is an Adjunct Professor in the Institute for Computational and Mathematical Engineering (ICME) and Associate Director of…Aug 9Aug 9
Afaq IftikharLIVER LESION SEGMENTATION[1] In the previous posts, we tried to use a convolution neural network to detect facial emotions. In the second post, we tried to explain…Aug 20, 2023Aug 20, 2023
My Socialin𝐀𝐈 𝐦𝐨𝐧𝐤𝐬.𝐢𝐨BiomedParse: Advancing Biomedical Imaging with Microsoft ResearchIntroductionMay 22May 22
Nancy MartinezThe Future of Healthcare: How Biomedical Engineering Innovations in Berlin are Revolutionizing…Introduction3d ago
Ayyuce DemirbasU-Mamba: A Novel Approach to Biomedical Image SegmentationU-Mamba introduces an innovative network architecture for segmenting biomedical images, combining the advantages of Convolutional Neural…Feb 41
Enricco GemhaCombining Machine Learning and Supercomputing for Large-scale Biomedical Image Analysis Problems @…Diego Rossinelli is an Adjunct Professor in the Institute for Computational and Mathematical Engineering (ICME) and Associate Director of…Aug 9
Afaq IftikharLIVER LESION SEGMENTATION[1] In the previous posts, we tried to use a convolution neural network to detect facial emotions. In the second post, we tried to explain…Aug 20, 2023
My Socialin𝐀𝐈 𝐦𝐨𝐧𝐤𝐬.𝐢𝐨BiomedParse: Advancing Biomedical Imaging with Microsoft ResearchIntroductionMay 22
Syed Nauyan RashidinRed BufferAI in Computational PathologyThe article aims to give a gentle introduction to Computational Pathology and the applications of AI in Computational Pathology.Mar 26, 2021
Sushmit AsifADN: A Crazy Complicated Deep Learning Network that May Reduce Data Annotation Efforts Needed.> First unsupervised learning approach to Metal Artifact Reduction from CT Images. [Link]Dec 6, 20211
Susant AcharyinAnalytics VidhyaIntroduction to Biomedical Imaging using Deep LearningUsing Deep learning to solve Biomedical Images tasks and multiple datasets which can be usedOct 20, 2019