Research graph
References from Flow Matching for Generating Weakly Labeled Bags of Foundation-Model Mammography Representations. Local targets link to admitted publications; unresolved targets remain external evidence.
Solving the multiple instance problem with axis-parallel rectangles
10.1016/s0004-3702(96)00034-3 · 1997 · External reference
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10.1109/cvpr.2017.93
10.1109/cvpr.2017.93 · External reference
A variational Bayesian approach for multimodal multi-instance classification
10.1016/j.patcog.2025.112742 · 2026 · External reference
BI-RADS fifth edition: A summary of changes
10.1016/j.diii.2017.01.001 · 2017 · External reference
Breast imaging reporting and data system v2025: Key updates in mammography
10.3348/jksr.2026.0028 · 2026 · External reference
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The EMory BrEast imaging Dataset (EMBED): A racially diverse, granular dataset of 3.4 million screening and diagnostic mammographic images
10.1148/ryai.220047 · 2023 · External reference
VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography
10.1038/s41597-023-02100-7 · 2023 · External reference
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Data-efficient and weakly supervised computational pathology on whole-slide images
10.1038/s41551-020-00682-w · 2021 · External reference
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10.1109/cvpr46437.2021.01409
10.1109/cvpr46437.2021.01409 · External reference
10.1007/978-3-031-16434-7_41
10.1007/978-3-031-16434-7_41 · External reference
Max-ordinal learning
10.1109/tnnls.2013.2287381 · 2014 · External reference
Generative adversarial networks
10.1145/3422622 · 2020 · External reference
An introduction to variational autoencoders
10.1561/2200000056 · 2019 · External reference
10.1109/cvpr52688.2022.01042
10.1109/cvpr52688.2022.01042 · External reference
10.1109/cvpr52734.2025.02184
10.1109/cvpr52734.2025.02184 · External reference
AugDiff: Diffusion-based feature augmentation for multiple instance learning in whole slide image
10.1109/tai.2024.3454591 · 2024 · External reference
10.1109/iccv51701.2025.02058
10.1109/iccv51701.2025.02058 · External reference
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On the benefits of defining vicinal distributions in latent space
10.1016/j.patrec.2021.10.016 · 2021 · External reference
10.1109/iccv51070.2023.00387
10.1109/iccv51070.2023.00387 · External reference
From BoW to CNN: Two decades of texture representation for texture classification
10.1007/s11263-018-1125-z · 2019 · External reference
Fisher encoding of convolutional neural network features for endoscopic image classification
10.1117/1.jmi.5.3.034504 · 2018 · External reference
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10.1007/978-3-030-58592-1_41
10.1007/978-3-030-58592-1_41 · External reference
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Diffusion models in medical imaging: A comprehensive survey
10.1016/j.media.2023.102846 · 2023 · External reference
10.1145/3372297.3417238
10.1145/3372297.3417238 · External reference
Differentially private diffusion models
2023 · External reference
10.52202/075280-2261
10.52202/075280-2261 · External reference
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Federated sparse representation-based anomaly detection
10.1016/j.dsp.2025.105828 · 2026 · External reference
Sparse modeling for image and vision processing
10.1561/0600000058 · 2014 · External reference
10.1007/978-1-4419-7011-4
10.1007/978-1-4419-7011-4 · External reference
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Sparse subspace clustering: Algorithm, theory, and applications
10.1109/tpami.2013.57 · 2013 · External reference
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10.1137/1.9781611971392
10.1137/1.9781611971392 · External reference
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Scalable optimal transport methods in machine learning: A contemporary survey
2024 · External reference
The earth mover’s distance as a metric for image retrieval
10.1023/a:1026543900054 · 2000 · External reference
A neural probabilistic language model
2003 · External reference
10.1609/aaai.v32i1.11671
10.1609/aaai.v32i1.11671 · External reference
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10.1371/journal.pdig.0000811
10.1371/journal.pdig.0000811 · External reference
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Applications of information geometry driven deep learning
2025 · External reference
10.1109/cvpr.2016.308
10.1109/cvpr.2016.308 · External reference
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From patches to WSIs: A systematic review of deep multiple instance learning in computational pathology
10.1016/j.inffus.2025.103027 · 2025 · External reference
10.1007/978-1-4419-7011-4
10.1007/978-1-4419-7011-4 · ExternalCitation · doi-reference
10.1007/978-3-030-58592-1_41
10.1007/978-3-030-58592-1_41 · ExternalCitation · doi-reference
10.1007/978-3-031-16434-7_41
10.1007/978-3-031-16434-7_41 · ExternalCitation · doi-reference
From BoW to CNN: Two decades of texture representation for texture classification
10.1007/s11263-018-1125-z · ExternalCitation · doi-reference
BI-RADS fifth edition: A summary of changes
10.1016/j.diii.2017.01.001 · ExternalCitation · doi-reference
Federated sparse representation-based anomaly detection
10.1016/j.dsp.2025.105828 · ExternalCitation · doi-reference
From patches to WSIs: A systematic review of deep multiple instance learning in computational pathology
10.1016/j.inffus.2025.103027 · ExternalCitation · doi-reference
Diffusion models in medical imaging: A comprehensive survey
10.1016/j.media.2023.102846 · ExternalCitation · doi-reference
A variational Bayesian approach for multimodal multi-instance classification
10.1016/j.patcog.2025.112742 · ExternalCitation · doi-reference
On the benefits of defining vicinal distributions in latent space
10.1016/j.patrec.2021.10.016 · ExternalCitation · doi-reference
Solving the multiple instance problem with axis-parallel rectangles
10.1016/s0004-3702(96)00034-3 · ExternalCitation · doi-reference
The earth mover’s distance as a metric for image retrieval
10.1023/a:1026543900054 · ExternalCitation · doi-reference
Data-efficient and weakly supervised computational pathology on whole-slide images
10.1038/s41551-020-00682-w · ExternalCitation · doi-reference
VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography
10.1038/s41597-023-02100-7 · ExternalCitation · doi-reference
10.1109/cvpr.2016.308
10.1109/cvpr.2016.308 · ExternalCitation · doi-reference
10.1109/cvpr.2017.93
10.1109/cvpr.2017.93 · ExternalCitation · doi-reference
10.1109/cvpr46437.2021.01409
10.1109/cvpr46437.2021.01409 · ExternalCitation · doi-reference
10.1109/cvpr52688.2022.01042
10.1109/cvpr52688.2022.01042 · ExternalCitation · doi-reference
10.1109/cvpr52734.2025.02184
10.1109/cvpr52734.2025.02184 · ExternalCitation · doi-reference
10.1109/iccv51070.2023.00387
10.1109/iccv51070.2023.00387 · ExternalCitation · doi-reference
10.1109/iccv51701.2025.02058
10.1109/iccv51701.2025.02058 · ExternalCitation · doi-reference
AugDiff: Diffusion-based feature augmentation for multiple instance learning in whole slide image
10.1109/tai.2024.3454591 · ExternalCitation · doi-reference
Max-ordinal learning
10.1109/tnnls.2013.2287381 · ExternalCitation · doi-reference
Sparse subspace clustering: Algorithm, theory, and applications
10.1109/tpami.2013.57 · ExternalCitation · doi-reference
Fisher encoding of convolutional neural network features for endoscopic image classification
10.1117/1.jmi.5.3.034504 · ExternalCitation · doi-reference
10.1137/1.9781611971392
10.1137/1.9781611971392 · ExternalCitation · doi-reference
10.1145/3372297.3417238
10.1145/3372297.3417238 · ExternalCitation · doi-reference
Generative adversarial networks
10.1145/3422622 · ExternalCitation · doi-reference
The EMory BrEast imaging Dataset (EMBED): A racially diverse, granular dataset of 3.4 million screening and diagnostic mammographic images
10.1148/ryai.220047 · ExternalCitation · doi-reference
10.1371/journal.pdig.0000811
10.1371/journal.pdig.0000811 · ExternalCitation · doi-reference
Sparse modeling for image and vision processing
10.1561/0600000058 · ExternalCitation · doi-reference
An introduction to variational autoencoders
10.1561/2200000056 · ExternalCitation · doi-reference
10.1609/aaai.v32i1.11671
10.1609/aaai.v32i1.11671 · ExternalCitation · doi-reference
Breast imaging reporting and data system v2025: Key updates in mammography
10.3348/jksr.2026.0028 · ExternalCitation · doi-reference
10.52202/075280-2261
10.52202/075280-2261 · ExternalCitation · doi-reference
