Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping | Paper Citation Record

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This paper cites Representation learning of histopathology images using graph neural networks.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Representation learning of histopathology images using graph neural networks

Reference 1

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This paper cites Estrogen and progesterone receptor testing in breast cancer: Asco/cap guideline update.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Estrogen and progesterone receptor testing in breast cancer: Asco/cap guideline update

Reference 2

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This paper cites Structured crowdsourcing enables convolutional segmentation of histology images.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Structured crowdsourcing enables convolutional segmentation of histology images

Reference 3

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This paper cites Big-graph: Brain imaging genetics by graph neural network.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Big-graph: Brain imaging genetics by graph neural network

Reference 4

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This paper cites Cell-graph mining for breast tissue modeling and classification.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Cell-graph mining for breast tissue modeling and classification

Reference 5

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This paper cites Obesity and breast cancer: progress to understanding the relationship.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Obesity and breast cancer: progress to understanding the relationship

Reference 6

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Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Unresolved cited work

Reference 7

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This paper cites The cbio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping The cbio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data

Reference 8

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This paper cites There is more than one kind of myofibroblast: analysis of cd34 expression in benign, in situ, and invasive breast lesions.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping There is more than one kind of myofibroblast: analysis of cd34 expression in benign, in situ, and invasive breast lesions

Reference 9

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This paper cites Pan-cancer integrative histology-genomic analysis via multimodal deep learning.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Pan-cancer integrative histology-genomic analysis via multimodal deep learning

Reference 10

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This paper cites Expression of cluster of differentiation 34 and vascular endothelial growth factor in breast cancer, and their prognostic significance.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Expression of cluster of differentiation 34 and vascular endothelial growth factor in breast cancer, and their prognostic significance

Reference 11

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This paper cites Diagnostic significance of the immunoexpression of cd34 and smooth muscle cell actin in benign and malignant tumors of the breast.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Diagnostic significance of the immunoexpression of cd34 and smooth muscle cell actin in benign and malignant tumors of the breast

Reference 12

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This paper cites Principal neighbourhood aggregation for graph nets.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Principal neighbourhood aggregation for graph nets

Reference 13

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This paper cites Tumour heterogeneity and resistance to cancer therapies.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Tumour heterogeneity and resistance to cancer therapies

Reference 14

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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 15

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This paper cites PanNuke Dataset Extension, Insights and Baselines.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping PanNuke Dataset Extension, Insights and Baselines

Reference 16

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This paper cites Estrogen receptor status, determined by immunohistochemistry, as a predictor of the recurrence of stage i endometrial carcinoma.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Estrogen receptor status, determined by immunohistochemistry, as a predictor of the recurrence of stage i endometrial carcinoma

Reference 17

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This paper cites Hover-net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Hover-net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images

Reference 18

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This paper cites Multimodal fusion with deep neural networks for leveraging ct imaging and electronic health record: a case-study in pulmonary embolism detection.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Multimodal fusion with deep neural networks for leveraging ct imaging and electronic health record: a case-study in pulmonary embolism detection

Reference 19

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Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Self-normalizing neural networks

Reference 20

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This paper cites Topological feature extraction and visualization of whole slide images using graph neural networks.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Topological feature extraction and visualization of whole slide images using graph neural networks

Reference 21

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This paper cites Mmgk: Multimodality multiview graph representations and knowledge embedding for mild cognitive impairment diagnosis.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Mmgk: Multimodality multiview graph representations and knowledge embedding for mild cognitive impairment diagnosis

Reference 22

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This paper cites A hybrid deep learning model for predicting molecular subtypes of human breast cancer using multimodal data.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping A hybrid deep learning model for predicting molecular subtypes of human breast cancer using multimodal data

Reference 23

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Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 24

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Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Feature driven local cell graph (fedeg): predicting overall survival in early stage lung cancer

Reference 25

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This paper cites Data-efficient and weakly supervised computational pathology on whole-slide images.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Data-efficient and weakly supervised computational pathology on whole-slide images

Reference 26

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Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Capturing cellular topology in multi-gigapixel pathology images

Reference 27

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This paper cites Slidegraph+: Whole slide image level graphs to predict her2 status in breast cancer.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Slidegraph+: Whole slide image level graphs to predict her2 status in breast cancer

Reference 28

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This paper cites Expression and methylation patterns partition luminal-a breast tumors into distinct prognostic subgroups.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Expression and methylation patterns partition luminal-a breast tumors into distinct prognostic subgroups

Reference 29

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Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping DINOv2: Learning Robust Visual Features without Supervision

Reference 30

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This paper cites Supervised risk predictor of breast cancer based on intrinsic subtypes.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Supervised risk predictor of breast cancer based on intrinsic subtypes

Reference 31

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This paper cites Hact-net: A hierarchical cell-to-tissue graph neural network for histopathological image classification.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Hact-net: A hierarchical cell-to-tissue graph neural network for histopathological image classification

Reference 32

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This paper cites High timm17a expression is associated with adverse pathological and clinical outcomes in human breast cancer.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping High timm17a expression is associated with adverse pathological and clinical outcomes in human breast cancer

Reference 33

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This paper cites Creb-regulated transcription co-activator family stimulates promoter ii-driven aromatase expression in preadipocytes.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Creb-regulated transcription co-activator family stimulates promoter ii-driven aromatase expression in preadipocytes

Reference 34

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Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 35

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Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Multimodal deep learning for biomedical data fusion: a review

Reference 36

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Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Multimodal data fusion for cancer biomarker discovery with deep learning

Reference 37

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Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Axiomatic attribution for deep networks

Reference 38

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Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Rethinking the inception architecture for computer vision

Reference 39

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This paper cites Fusionbench: A comprehensive benchmark of deep model fusion.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Fusionbench: A comprehensive benchmark of deep model fusion

Reference 40

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This paper cites Her2 immunohistochemical scores provide prognostic information for patients with her2-type invasive breast cancer.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Her2 immunohistochemical scores provide prognostic information for patients with her2-type invasive breast cancer

Reference 41

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This paper cites Lung cancer subtype diagnosis by fusing image-genomics data and hybrid deep networks.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Lung cancer subtype diagnosis by fusing image-genomics data and hybrid deep networks

Reference 42

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This paper cites Redefining breast cancer subtypes to guide treatment prioritization and maximize response: Predictive biomarkers across 10 cancer therapies.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Redefining breast cancer subtypes to guide treatment prioritization and maximize response: Predictive biomarkers across 10 cancer therapies

Reference 43

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This paper cites Heterogeneous model reuse via optimizing multiparty multiclass margin.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Heterogeneous model reuse via optimizing multiparty multiclass margin

Reference 44

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This paper cites Quantitative proteomics study of breast cancer cell lines isolated from a single patient: discovery of timm17a as a marker for breast cancer.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Quantitative proteomics study of breast cancer cell lines isolated from a single patient: discovery of timm17a as a marker for breast cancer

Reference 45

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This paper cites The impact of timm17a on aggressiveness of human breast cancer cells.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping The impact of timm17a on aggressiveness of human breast cancer cells

Reference 46

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This paper cites Triple-negative breast cancer molecular subtyping and treatment progress.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Triple-negative breast cancer molecular subtyping and treatment progress

Reference 47

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This paper cites Analysis of tumor genomic pathway alterations using broad-panel next-generation sequencing in surgically resected lung adenocarcinoma.

Scalable and Loosely-Coupled Multimodal Deep Learning for Breast Cancer Subtyping Analysis of tumor genomic pathway alterations using broad-panel next-generation sequencing in surgically resected lung adenocarcinoma

Reference 48

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