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Michael Gadermayr

Showing results (1-10 of 21) with videos related to

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EURASIP Journal on Image and Video Processing|April 13, 2016
Making texture descriptors invariant to blurMichael Gadermayr, Andreas Uhl
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|January 16, 2024
Multiple instance learning for digital pathology: A review of the state-of-the-art, limitations & future potentialMichael Gadermayr, Maximilian Tschuchnig
Patterns (New York, N.Y.)|November 18, 2020
Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future PotentialMaximilian E Tschuchnig, Gertie J Oostingh, Michael Gadermayr
Patterns (New York, N.Y.)|December 9, 2020
Erratum: Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future PotentialMaximilian E Tschuchnig, Gertie J Oostingh, Michael Gadermayr
Magnetic Resonance Imaging|December 23, 2017
A comprehensive study on automated muscle segmentation for assessing fat infiltration in neuromuscular diseasesMichael Gadermayr, Constantin Disch, Madlaine Müller, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|November 26, 2018
CNN cascades for segmenting sparse objects in gigapixel whole slide imagesMichael Gadermayr, Ann-Kathrin Dombrowski, Barbara Mara Klinkhammer, et al.
IEEE Transactions on Medical Imaging|February 15, 2019
Generative Adversarial Networks for Facilitating Stain-Independent Supervised and Unsupervised Segmentation: A Study on Kidney HistologyMichael Gadermayr, Laxmi Gupta, Vitus Appel, et al.
Computers in Biology and Medicine|October 2, 2017
Segmenting renal whole slide images virtually without training dataMichael Gadermayr, Dennis Eschweiler, Abiramjee Jeevanesan, et al.
World Journal of Gastroenterology|September 10, 2016
Computer-aided texture analysis combined with experts' knowledge: Improving endoscopic celiac disease diagnosisMichael Gadermayr, Hubert Kogler, Maximilian Karla, et al.
Journal of Magnetic Resonance Imaging : JMRI|January 10, 2019
Domain-specific data augmentation for segmenting MR images of fatty infiltrated human thighs with neural networksMichael Gadermayr, Kexin Li, Madlaine Müller, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

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Pageof 3
EURASIP Journal on Image and Video Processing|April 13, 2016
Making texture descriptors invariant to blurMichael Gadermayr, Andreas Uhl
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|January 16, 2024
Multiple instance learning for digital pathology: A review of the state-of-the-art, limitations & future potentialMichael Gadermayr, Maximilian Tschuchnig
Patterns (New York, N.Y.)|November 18, 2020
Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future PotentialMaximilian E Tschuchnig, Gertie J Oostingh, Michael Gadermayr
Patterns (New York, N.Y.)|December 9, 2020
Erratum: Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future PotentialMaximilian E Tschuchnig, Gertie J Oostingh, Michael Gadermayr
Magnetic Resonance Imaging|December 23, 2017
A comprehensive study on automated muscle segmentation for assessing fat infiltration in neuromuscular diseasesMichael Gadermayr, Constantin Disch, Madlaine Müller, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|November 26, 2018
CNN cascades for segmenting sparse objects in gigapixel whole slide imagesMichael Gadermayr, Ann-Kathrin Dombrowski, Barbara Mara Klinkhammer, et al.
IEEE Transactions on Medical Imaging|February 15, 2019
Generative Adversarial Networks for Facilitating Stain-Independent Supervised and Unsupervised Segmentation: A Study on Kidney HistologyMichael Gadermayr, Laxmi Gupta, Vitus Appel, et al.
Computers in Biology and Medicine|October 2, 2017
Segmenting renal whole slide images virtually without training dataMichael Gadermayr, Dennis Eschweiler, Abiramjee Jeevanesan, et al.
World Journal of Gastroenterology|September 10, 2016
Computer-aided texture analysis combined with experts' knowledge: Improving endoscopic celiac disease diagnosisMichael Gadermayr, Hubert Kogler, Maximilian Karla, et al.
Journal of Magnetic Resonance Imaging : JMRI|January 10, 2019
Domain-specific data augmentation for segmenting MR images of fatty infiltrated human thighs with neural networksMichael Gadermayr, Kexin Li, Madlaine Müller, et al.
Pageof 3