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Predicting breast cancer risk using interacting genetic and demographic factors and machine learning

Scientific reports, 2020-07, Vol.10 (1), p.11044-11044, Article 11044

2020

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Machine learning identifies interacting genetic variants contributing to breast cancer risk: A case study in Finnish cases and controls

Scientific reports, 2018-09, Vol.8 (1), p.13149-13, Article 13149

2018

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High numbers of macrophages, especially M2-like (CD163-positive), correlate with hyaluronan accumulation and poor outcome in breast cancer

Histopathology, 2015-05, Vol.66 (6), p.873-883

2015

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Depth of invasion, tumor budding, and worst pattern of invasion: Prognostic indicators in early-stage oral tongue cancer

Head & neck, 2014-06, Vol.36 (6), p.811-818

2014

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Multi-level dilated residual network for biomedical image segmentation

Scientific reports, 2021-07, Vol.11 (1), p.14105-14105, Article 14105

2021

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Expression profiles of VEGF-A, VEGF-D and VEGFR1 are higher in distant metastases than in matched primary high grade epithelial ovarian cancer

BMC cancer, 2019-06, Vol.19 (1), p.584-584, Article 584

2019

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Increased hyaluronan content and stromal cell CD44 associate with HER2 positivity and poor prognosis in human breast cancer

International journal of cancer, 2013-02, Vol.132 (3), p.531-539

2013

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Expression profiles of small non-coding RNAs in breast cancer tumors characterize clinicopathological features and show prognostic and predictive potential

Scientific reports, 2022-12, Vol.12 (1), p.22614-22614, Article 22614

2022

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Area-based breast percentage density estimation in mammograms using weight-adaptive multitask learning

Scientific reports, 2022-07, Vol.12 (1), p.12060-12060, Article 12060

2022

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Vimentin-ERK Signaling Uncouples Slug Gene Regulatory Function

Cancer research (Chicago, Ill.), 2015-06, Vol.75 (11), p.2349-2362

2015

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Transcription factors zeb1, twist and snai1 in breast carcinoma

BMC cancer, 2011-02, Vol.11 (1), p.73-73, Article 73

2011

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Diffusion-Weighted Imaging in 3.0 Tesla Breast MRI: Diagnostic Performance and Tumor Characterization Using Small Subregions vs. Whole Tumor Regions of Interest

PloS one, 2015-10, Vol.10 (10), p.e0138702-e0138702

2015

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Nuclei instance segmentation from histopathology images using Bayesian dropout based deep learning

BMC medical imaging, 2023-10, Vol.23 (1), p.1-162, Article 162

2023

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Genetic Polymorphisms and Protein Expression of NRF2 and Sulfiredoxin Predict Survival Outcomes in Breast Cancer

Cancer research (Chicago, Ill.), 2012-11, Vol.72 (21), p.5537-5546

2012

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High expression of Tie-2 predicts poor prognosis in primary high grade serous ovarian cancer

PloS one, 2020-11, Vol.15 (11), p.e0241484-e0241484

2020

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The debatable presence of PIWI‐interacting RNAs in invasive breast cancer

Cancer medicine (Malden, MA), 2021-06, Vol.10 (11), p.3593-3603

2021

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Hyaluronan in human tumors: Pathobiological and prognostic messages from cell-associated and stromal hyaluronan

Seminars in cancer biology, 2008-08, Vol.18 (4), p.288-295

2008

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Peritumor to tumor apparent diffusion coefficient ratio is associated with biologically more aggressive breast cancer features and correlates with the prognostication tools

PloS one, 2020-06, Vol.15 (6), p.e0235278-e0235278

2020

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For early-stage oral tongue cancer, depth of invasion and worst pattern of invasion are the strongest pathological predictors for locoregional recurrence and mortality

Virchows Archiv : an international journal of pathology, 2015-07, Vol.467 (1), p.39-46

2015

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Activator protein‐2 in carcinogenesis with a special reference to breast cancer—A mini review

International journal of cancer, 2007-05, Vol.120 (10), p.2061-2067

2007

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Overexpression of microRNA-200c predicts poor outcome in patients with PR-negative breast cancer

PloS one, 2014-10, Vol.9 (10), p.e109508-e109508

2014

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High mutation burden of circulating cell‐free DNA in early‐stage breast cancer patients is associated with a poor relapse‐free survival

Cancer medicine (Malden, MA), 2020-08, Vol.9 (16), p.5922-5931

2020

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A Multi-View Deep Evidential Learning Approach for Mammogram Density Classification

IEEE access, 2024, Vol.12, p.67889-67909

2024

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Serum angiopoietin-2 and soluble VEGFR-2 levels predict malignancy of ovarian neoplasm and poor prognosis in epithelial ovarian cancer

BMC cancer, 2014-09, Vol.14 (1), p.696, Article 696

2014

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High Cell-Free DNA Integrity Is Associated with Poor Breast Cancer Survival

Cancers, 2021-09, Vol.13 (18), p.4679

2021

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Predicting breast cancer risk using interacting genetic and demographic factors and machine learning

Machine learning identifies interacting genetic variants contributing to breast cancer risk: A case study in Finnish cases and controls

High numbers of macrophages, especially M2-like (CD163-positive), correlate with hyaluronan accumulation and poor outcome in breast cancer

Depth of invasion, tumor budding, and worst pattern of invasion: Prognostic indicators in early-stage oral tongue cancer

Multi-level dilated residual network for biomedical image segmentation

Expression profiles of VEGF-A, VEGF-D and VEGFR1 are higher in distant metastases than in matched primary high grade epithelial ovarian cancer

Increased hyaluronan content and stromal cell CD44 associate with HER2 positivity and poor prognosis in human breast cancer

Expression profiles of small non-coding RNAs in breast cancer tumors characterize clinicopathological features and show prognostic and predictive potential

Area-based breast percentage density estimation in mammograms using weight-adaptive multitask learning

Vimentin-ERK Signaling Uncouples Slug Gene Regulatory Function

Transcription factors zeb1, twist and snai1 in breast carcinoma

Diffusion-Weighted Imaging in 3.0 Tesla Breast MRI: Diagnostic Performance and Tumor Characterization Using Small Subregions vs. Whole Tumor Regions of Interest

Nuclei instance segmentation from histopathology images using Bayesian dropout based deep learning

Genetic Polymorphisms and Protein Expression of NRF2 and Sulfiredoxin Predict Survival Outcomes in Breast Cancer

High expression of Tie-2 predicts poor prognosis in primary high grade serous ovarian cancer

The debatable presence of PIWI‐interacting RNAs in invasive breast cancer

Hyaluronan in human tumors: Pathobiological and prognostic messages from cell-associated and stromal hyaluronan

Peritumor to tumor apparent diffusion coefficient ratio is associated with biologically more aggressive breast cancer features and correlates with the prognostication tools

For early-stage oral tongue cancer, depth of invasion and worst pattern of invasion are the strongest pathological predictors for locoregional recurrence and mortality

Activator protein‐2 in carcinogenesis with a special reference to breast cancer—A mini review

Overexpression of microRNA-200c predicts poor outcome in patients with PR-negative breast cancer

High mutation burden of circulating cell‐free DNA in early‐stage breast cancer patients is associated with a poor relapse‐free survival

A Multi-View Deep Evidential Learning Approach for Mammogram Density Classification

Serum angiopoietin-2 and soluble VEGFR-2 levels predict malignancy of ovarian neoplasm and poor prognosis in epithelial ovarian cancer

High Cell-Free DNA Integrity Is Associated with Poor Breast Cancer Survival

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