CT-ORG, a new dataset for multiple organ segmentation in computed tomography von Rister, Blaine, Yi, Darvin, Shivakumar, Kaushik, Nobashi, Tomomi, Rubin, Daniel L.

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Volumetric Image Registration From Invariant Keypoints von Rister, Blaine, Horowitz, Mark A., Rubin, Daniel L.

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Piecewise convexity of artificial neural networks von Rister, Blaine, Rubin, Daniel L.

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Radiomics features to identify distinct subtypes of triple-negative breast cancers von Itakura, Haruka, Ikeda, Debra M., Okamoto, Satoko, Chen, Shu-Tian, Rister, Blaine, Gude, Dev, Mattonen, Sarah A., Alkim, Emel, Todderud, Julia, Schueler, Emil, Rubin, Daniel, Sledge, George W., Kurian, Allison W.

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Probabilistic bounds on neuron death in deep rectifier networks von Rister, Blaine, Rubin, Daniel L

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COVID-19 Lung Lesion Segmentation Using a Sparsely Supervised Mask R-CNN on Chest X-rays Automatically Computed from Volumetric CTs von Ramesh, Vignav, Rister, Blaine, Rubin, Daniel L

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Probabilistic bounds on neuron death in deep rectifier networks von Rister, Blaine, Rubin, Daniel L

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Piecewise convexity of artificial neural networks von Rister, Blaine, Rubin, Daniel L

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COVID-19 Lung Lesion Segmentation Using a Sparsely Supervised Mask R-CNN on Chest X-rays Automatically Computed from Volumetric CTs von Vignav Ramesh, Rister, Blaine, Rubin, Daniel L

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ITERATIVE COMPILATION TO OPTIMIZE TRANSLATION IN RECONFIGURABLE DATAFLOW ARCHITECTURES von CHEN, Zhuo, ZHANG, Yaqi, WANG, Junjue, SUJEETH, Arvind, RISTER, Blaine, DONG, Haocheng, KOEPLINGER, David Alan

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ANALYSIS ASSISTANT FOR DETERMINING EXECUTION INEFFICIENCIES IN DATAFLOW PROGRAMS von JAIRATH, Sumti, CHEN, Zhuo, WANG, Junjue, SUJEETH, Arvind, RISTER, Blaine, YANG, Bowen, LIU, Chen, LI, Qingjian

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METHOD AND SYSTEM TO DETERMINE EXECUTION INEFFICIENCIES IN DATAFLOW PROGRAMS von JAIRATH, Sumti, CHEN, Zhuo, WANG, Junjue, SUJEETH, Arvind, RISTER, Blaine, YANG, Bowen, LIU, Chen, LI, Qingjian

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CT organ segmentation using GPU data augmentation, unsupervised labels and IOU loss von Rister, Blaine, Yi, Darvin, Shivakumar, Kaushik, Nobashi, Tomomi, Rubin, Daniel L

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COMPILER OPTIMIZATION OF DATAFLOW APPLICATIONS USING MIXED INTEGER EQUATIONS von MA, Zhichao, JAIRATH, Sumti, SUJEETH, Arvind Krishna, CHEN, Zhuo, WANG, Junjue, RISTER, Blaine Burton, DENG, Andrew

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Piecewise convexity of artificial neural networks von Rister, Blaine, Rubin, Daniel L

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Systems and Methods for Image Segmentation using IOU Loss Functions von Rubin, Daniel L, Rister, Blaine Burton, Yi, Darvin

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CT-ORG: A Dataset of CT Volumes With Multiple Organ Segmentations von Rister, Blaine, Shivakumar, Kaushik, Nobashi, Tomomi, Rubin, Daniel L.

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A Systematic Approach to Blocking Convolutional Neural Networks von Yang, Xuan, Pu, Jing, Rister, Blaine Burton, Bhagdikar, Nikhil, Richardson, Stephen, Kvatinsky, Shahar, Ragan-Kelley, Jonathan, Pedram, Ardavan, Horowitz, Mark

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CT organ segmentation using GPU data augmentation, unsupervised labels and IOU loss von Rister, Blaine, Darvin Yi, Kaushik Shivakumar, Nobashi, Tomomi, Rubin, Daniel L

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A Systematic Approach to Blocking Convolutional Neural Networks von Yang, Xuan, Pu, Jing, Blaine Burton Rister, Bhagdikar, Nikhil, Richardson, Stephen, Kvatinsky, Shahar, Ragan-Kelley, Jonathan, Pedram, Ardavan, Horowitz, Mark

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