Computer Vision for Microscopy Image Analysis
X-Net With Different Loss Functions for Cell Image Segmentation-
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[bibtex]@InProceedings{Fujii_2021_CVPR, author = {Fujii, Haruki and Tanaka, Hayato and Ikeuchi, Momoko and Hotta, Kazuhiro}, title = {X-Net With Different Loss Functions for Cell Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {3793-3800} }
Quantifying Variability in Microscopy Image Analyses for COVID-19 Drug Discovery-
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[bibtex]@InProceedings{Simon_2021_CVPR, author = {Simon, Mylene and Yu, Sunny and Nagarajan, Jayapriya and Bajcsy, Peter and Schaub, Nicholas J. and Ouladi, Mohamed and Prativadi, Sudharsan and Hotaling, Nathan}, title = {Quantifying Variability in Microscopy Image Analyses for COVID-19 Drug Discovery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {3801-3809} }
Hierarchical Spatial Pyramid Network for Cervical Precancerous Segmentation by Reconstructing Deep Segmentation Networks-
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[bibtex]@InProceedings{Meng_2021_CVPR, author = {Meng, Zhu and Zhao, Zhicheng and Su, Fei and Guo, Limei}, title = {Hierarchical Spatial Pyramid Network for Cervical Precancerous Segmentation by Reconstructing Deep Segmentation Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {3738-3745} }
3D Fiber Segmentation With Deep Center Regression and Geometric Clustering-
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[bibtex]@InProceedings{Aguilar_2021_CVPR, author = {Aguilar, Camilo and Comer, Mary and Hanhan, Imad and Agyei, Ronald and Sangid, Michael}, title = {3D Fiber Segmentation With Deep Center Regression and Geometric Clustering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {3746-3754} }
Learning Melanocytic Proliferation Segmentation in Histopathology Images From Imperfect Annotations-
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[bibtex]@InProceedings{Liu_2021_CVPR, author = {Liu, Kechun and Mokhtari, Mojgan and Li, Beibin and Nofallah, Shima and May, Caitlin and Chang, Oliver and Knezevich, Stevan and Elmore, Joann and Shapiro, Linda}, title = {Learning Melanocytic Proliferation Segmentation in Histopathology Images From Imperfect Annotations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {3766-3775} }
RCNN-SliceNet: A Slice and Cluster Approach for Nuclei Centroid Detection in Three-Dimensional Fluorescence Microscopy Images-
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[bibtex]@InProceedings{Wu_2021_CVPR, author = {Wu, Liming and Han, Shuo and Chen, Alain and Salama, Paul and Dunn, Kenneth W. and Delp, Edward J.}, title = {RCNN-SliceNet: A Slice and Cluster Approach for Nuclei Centroid Detection in Three-Dimensional Fluorescence Microscopy Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {3755-3765} }
A Joint Spatial and Magnification Based Attention Framework for Large Scale Histopathology Classification-
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[bibtex]@InProceedings{Zhang_2021_CVPR, author = {Zhang, Jingwei and Ma, Ke and Van Arnam, John and Gupta, Rajarsi and Saltz, Joel and Vakalopoulou, Maria and Samaras, Dimitris}, title = {A Joint Spatial and Magnification Based Attention Framework for Large Scale Histopathology Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {3776-3784} }
Unsupervised Detection of Cancerous Regions in Histology Imagery Using Image-to-Image Translation-
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[arXiv]
[bibtex]@InProceedings{Stepec_2021_CVPR, author = {Stepec, Dejan and Skocaj, Danijel}, title = {Unsupervised Detection of Cancerous Regions in Histology Imagery Using Image-to-Image Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {3785-3792} }