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Disambiguation of "Peikari, Mohammad"

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Localization and classification of cell nuclei in post-neoadjuvant breast cancer surgical specimen using fully convolutional networks.

, , , , , , and . Medical Imaging: Digital Pathology, volume 10581 of SPIE Proceedings, page 105810O. SPIE, (2018)

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Mohammad Mohammad

Mohammad Sadeghi

Metallogenic modeling and mineral potential mapping in the Takab district, NW Iran. Uni Halle-Wittenberg, (2009)

Mohammad Reza Mohammad Khorasani

Mohammad Djassemi

Mohammad Mehrjouei

 

Other publications of authors with the same name

The transition module: a method for preventing overfitting in convolutional neural networks., , , , and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 7 (3): 260-265 (2019)Clustering Analysis for Semi-supervised Learning Improves Classification Performance of Digital Pathology., , , and . MLMI, volume 9352 of Lecture Notes in Computer Science, page 263-270. Springer, (2015)Triaging Diagnostically Relevant Regions from Pathology Whole Slides of Breast Cancer: A Texture Based Approach., , , , and . IEEE Trans. Medical Imaging, 35 (1): 307-315 (2016)Section-thickness profiling for brachytherapy ultrasound guidance., , , and . Medical Imaging: Image-Guided Procedures, volume 7964 of SPIE Proceedings, page 79640R. SPIE, (2011)Determining tumor cellularity in digital slides using ResNet., , , , and . Medical Imaging: Digital Pathology, volume 10581 of SPIE Proceedings, page 105810U. SPIE, (2018)Effects of Ultrasound Section-Thickness on Brachytherapy Needle Tip Localization Error., , , , and . MICCAI (1), volume 6891 of Lecture Notes in Computer Science, page 299-306. Springer, (2011)Transitioning Between Convolutional and Fully Connected Layers in Neural Networks., , , , and . DLMIA/ML-CDS@MICCAI, volume 10553 of Lecture Notes in Computer Science, page 143-150. Springer, (2017)Localization and classification of cell nuclei in post-neoadjuvant breast cancer surgical specimen using fully convolutional networks., , , , , , and . Medical Imaging: Digital Pathology, volume 10581 of SPIE Proceedings, page 105810O. SPIE, (2018)Automatic cell detection and segmentation from H and E stained pathology slides using colorspace decorrelation stretching., and . Medical Imaging: Digital Pathology, volume 9791 of SPIE Proceedings, page 979114. SPIE, (2016)