COVID Detection and Severity Prediction with 3D-ConvNeXt and Custom Pretrainings

30 June 2022

Papers citing "COVID Detection and Severity Prediction with 3D-ConvNeXt and Custom Pretrainings"

6 / 6 papers shown

Title
Patch-based Intuitive Multimodal Prototypes Network (PIMPNet) for Alzheimer's Disease classification Lisa Anita De Santi Jorg Schlotterer Meike Nauta Vincenzo Positano Christin Seifert 27 2 0 19 Jul 2024
PIPNet3D: Interpretable Detection of Alzheimer in MRI Scans Lisa Anita De Santi Jorg Schlotterer Michael Scheschenja Joel Wessendorf Meike Nauta Vincenzo Positano Christin Seifert MedIm 33 3 0 27 Mar 2024
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data L. Boulogne Julian Lorenz Daniel Kienzle Robin Schon K. Ludwig ... C. Russ R. Ionasec Nikos Paragios Bram van Ginneken Marieke Dubois 13 4 0 18 Jun 2023
Enhanced detection of the presence and severity of COVID-19 from CT scans using lung segmentation R. Turnbull 25 2 0 16 Mar 2023
2D and 3D CNN-Based Fusion Approach for COVID-19 Severity Prediction from 3D CT-Scans F. Bougourzi Fadi Dornaika A. Nakib C. Distante A. Taleb-Ahmed MedIm 3DPC 37 0 0 15 Mar 2023
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,471 0 17 Apr 2017