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Sharon Nofech-Mozes
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2020 – today
- 2020
- [i2]Ozan Ciga, Tony Xu, Sharon Nofech-Mozes, Shawna Noy, Fang-I Lu, Anne L. Martel:
Overcoming the limitations of patch-based learning to detect cancer in whole slide images. CoRR abs/2012.00617 (2020)
2010 – 2019
- 2019
- [j1]Shazia Akbar, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne L. Martel:
The transition module: a method for preventing overfitting in convolutional neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 7(3): 260-265 (2019) - [c5]Nikhil Seth, Shazia Akbar, Sharon Nofech-Mozes, Sherine Salama, Anne L. Martel:
Automated Segmentation of DCIS in Whole Slide Images. ECDP 2019: 67-74 - 2018
- [c4]Shazia Akbar, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne L. Martel:
Determining tumor cellularity in digital slides using ResNet. Medical Imaging: Digital Pathology 2018: 105810U - [c3]Rene Bidart, Mehrdad J. Gangeh, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne L. Martel, Ali Ghodsi:
Localization and classification of cell nuclei in post-neoadjuvant breast cancer surgical specimen using fully convolutional networks. Medical Imaging: Digital Pathology 2018: 105810O - 2017
- [c2]Shazia Akbar, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne L. Martel:
Transitioning Between Convolutional and Fully Connected Layers in Neural Networks. DLMIA/ML-CDS@MICCAI 2017: 143-150 - [i1]Shazia Akbar, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne L. Martel:
Transitioning between Convolutional and Fully Connected Layers in Neural Networks. CoRR abs/1707.05743 (2017) - 2016
- [c1]Tyna A. Hope, Dan Wang, Sharon Nofech-Mozes, Kela Liu, Sireesha Kaanumalle, Yousef Al-Kohafi, Kashan Shaikh, Robert Filkins, Martin J. Yaffe:
Single Section Biomarker Measurement and Colocalization via a Novel Multiplexing Staining Technology. Digital Mammography / IWDM 2016: 265-273
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