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Medical image analysis

Showing results (711-720 of 3,651) with videos related to

Pageof 366
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Medical Image Analysis|October 30, 2021
Self-supervised driven consistency training for annotation efficient histopathology image analysisChetan L Srinidhi, Seung Wook Kim, Fu-Der Chen, et al.
Medical Image Analysis|January 23, 2022
ACME: Automatic feature extraction for cell migration examination through intravital microscopy imagingMiguel Molina-Moreno, Iván González-Díaz, Jon Sicilia, et al.
Medical Image Analysis|January 23, 2022
Automated identification of pulmonary arteries and veins depicted in non-contrast chest CT scansJiantao Pu, Joseph K Leader, Jacob Sechrist, et al.
Medical Image Analysis|April 9, 2022
FOD-Net: A deep learning method for fiber orientation distribution angular super resolutionRui Zeng, Jinglei Lv, He Wang, et al.
Medical Image Analysis|May 18, 2023
From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathologyMaximilian Springenberg, Annika Frommholz, Markus Wenzel, et al.
Medical Image Analysis|April 28, 2023
Unpaired, unsupervised domain adaptation assumes your domains are already similarGijs van Tulder, Marleen de Bruijne
Medical Image Analysis|March 31, 2021
APRIL: Anatomical prior-guided reinforcement learning for accurate carotid lumen diameter and intima-media thickness measurementSheng Lian, Zhiming Luo, Cheng Feng, et al.
Medical Image Analysis|April 8, 2023
TrGANet: Transforming 3T to 7T dMRI using Trapezoidal Rule and Graph based Attention ModulesRanjeet Ranjan Jha, B V Rathish Kumar, Sudhir K Pathak, et al.
Medical Image Analysis|April 4, 2021
Loss odyssey in medical image segmentationJun Ma, Jianan Chen, Matthew Ng, et al.
Medical Image Analysis|April 4, 2021
RICE: A method for quantitative mammographic image enhancementFaraz Janan, Michael Brady
Pageof 366

Showing results (711-720 of 3,651) with videos related to

Sort By:
Pageof 366
Medical Image Analysis|October 30, 2021
Self-supervised driven consistency training for annotation efficient histopathology image analysisChetan L Srinidhi, Seung Wook Kim, Fu-Der Chen, et al.
Medical Image Analysis|January 23, 2022
ACME: Automatic feature extraction for cell migration examination through intravital microscopy imagingMiguel Molina-Moreno, Iván González-Díaz, Jon Sicilia, et al.
Medical Image Analysis|January 23, 2022
Automated identification of pulmonary arteries and veins depicted in non-contrast chest CT scansJiantao Pu, Joseph K Leader, Jacob Sechrist, et al.
Medical Image Analysis|April 9, 2022
FOD-Net: A deep learning method for fiber orientation distribution angular super resolutionRui Zeng, Jinglei Lv, He Wang, et al.
Medical Image Analysis|May 18, 2023
From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathologyMaximilian Springenberg, Annika Frommholz, Markus Wenzel, et al.
Medical Image Analysis|April 28, 2023
Unpaired, unsupervised domain adaptation assumes your domains are already similarGijs van Tulder, Marleen de Bruijne
Medical Image Analysis|March 31, 2021
APRIL: Anatomical prior-guided reinforcement learning for accurate carotid lumen diameter and intima-media thickness measurementSheng Lian, Zhiming Luo, Cheng Feng, et al.
Medical Image Analysis|April 8, 2023
TrGANet: Transforming 3T to 7T dMRI using Trapezoidal Rule and Graph based Attention ModulesRanjeet Ranjan Jha, B V Rathish Kumar, Sudhir K Pathak, et al.
Medical Image Analysis|April 4, 2021
Loss odyssey in medical image segmentationJun Ma, Jianan Chen, Matthew Ng, et al.
Medical Image Analysis|April 4, 2021
RICE: A method for quantitative mammographic image enhancementFaraz Janan, Michael Brady
Pageof 366