Anne E Carpenter
Molecular Biology · 2006–2021
A researcher in the Science corpus: 27 papers; trusts 108 researchers and is trusted by 30 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 436 citations into it; #2,444 of 17,773 by trust here, #726 by citations
- Artificial Intelligence — 261 citations into it
- Computer Vision and Pattern Recognition — 214 citations into it
- Biophysics — 199 citations into it; #79 of 1,196 by trust here, #23 by citations
- Media Technology — 71 citations into it; #548 of 3,621 by trust here, #130 by citations
- Computational Biology & Bioinformatics — 53 citations into it; #541 of 660 by trust here, #145 by citations
- Medical Imaging — 52 citations into it; #4 of 117 by trust here, #1 by citations
- Model Architectures — 34 citations into it
Whom Anne E Carpenter trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Carolina Wählby
- Thouis Raymond Jones
- Oren Z. Kraus
- Jerome H. Friedman
- Kaiming He
- Michael David Abràmoff
- Ron Kohavi
- Geoffrey E. Hinton
- Karen Simonyan
- Alex Krizhevsky
Who trusts Anne E Carpenter overall
- Juan C. Caicedo
- Oren Z. Kraus
- Hanchuan Peng
- Shantanu Singh
- Christoph Sommer
- Thouis Raymond Jones
- Nick Pawlowski
- Fuyong Xing
- Rory M. Donovan-Maiye
- Johannes E. Schindelin
Papers from Anne E Carpenter's perspective
Ordered by how strongly the researchers Anne E Carpenter trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- GENERATIVE ADVERSARIAL NETS
- Long Short-Term Memory
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Opportunities and obstacles for deep learning in biology and medicine (2017) — 2,030 citations
- A lentiviral RNAi library for human and mouse genes applied to an arrayed viral high-content screen. (2006) — 1,888 citations
- CellProfiler: image analysis software for identifying and quantifying cell phenotypes (2006) — 5,206 citations
- CellProfiler: free, versatile software for automated biological image analysis. (2007) — 953 citations
- Data-analysis strategies for image-based cell profiling (2017) — 696 citations
- mTOR complex 1 regulates lipin 1 localization to control the SREBP pathway. (2011) — 1,197 citations
- Biological Imaging Software Tools (2012) — 513 citations
- Scoring diverse cellular morphologies in image-based screens with iterative feedback and machine learning (2009) — 396 citations
- Visualization of image data from cells to organisms (2010) — 987 citations
- CellProfiler Analyst: data exploration and analysis software for complex image-based screens (2008) — 560 citations
- A call for bioimaging software usability (2012) — 131 citations
- CellProfiler 3.0: Next-generation image processing for biology (2018) — 1,741 citations
- Applications in image-based profiling of perturbations. (2016) — 160 citations
- Nucleus segmentation across imaging experiments: The 2018 Data Science Bowl (2019) — 781 citations
- Image-based profiling for drug discovery: due for a machine-learning upgrade? (2020) — 355 citations
- An algorithm-based topographical biomaterials library to instruct cell fate (2011) — 370 citations
- Cell Painting, a high-content image-based assay for morphological profiling using multiplexed fluorescent dyes (2016) — 960 citations
- Improved structure, function and compatibility for CellProfiler: modular high-throughput image analysis software (2011) — 1,030 citations
- CellProfiler 4: improvements in speed, utility and usability (2021) — 1,721 citations
- A deep learning framework for nucleus segmentation using image style transfer (2019) — 48 citations