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Breast Cancer Histopathology Image Analysis: A Review

IEEE transactions on biomedical engineering, 2014-05, Vol.61 (5), p.1400-1411

2014

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Mitosis Counting in Breast Cancer: Object-Level Interobserver Agreement and Comparison to an Automatic Method

PloS one, 2016-08, Vol.11 (8), p.e0161286-e0161286

2016

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Automatic nuclei segmentation in H&E stained breast cancer histopathology images

PloS one, 2013-07, Vol.8 (7), p.e70221-e70221

2013

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Evaluation of Optimization Methods for Nonrigid Medical Image Registration Using Mutual Information and B-Splines

IEEE transactions on image processing, 2007-12, Vol.16 (12), p.2879-2890

2007

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Adaptive Stochastic Gradient Descent Optimisation for Image Registration

International journal of computer vision, 2009-03, Vol.81 (3), p.227-239

2009

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Automatic classification of focal liver lesions based on MRI and risk factors

PloS one, 2019-05, Vol.14 (5), p.e0217053-e0217053

2019

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Deep learning-based breast cancer grading and survival analysis on whole-slide histopathology images

Scientific reports, 2022-09, Vol.12 (1), p.15102-15102, Article 15102

2022

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Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis

Medical image analysis, 2019-05, Vol.54, p.280-296

2019

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Advanced Ultrasound and Photoacoustic Imaging in Cardiology

Sensors (Basel, Switzerland), 2021-11, Vol.21 (23), p.7947

2021

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Corneal pachymetry by AS-OCT after Descemet’s membrane endothelial keratoplasty

Scientific reports, 2021-07, Vol.11 (1), p.13976-13976, Article 13976

2021

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Gland segmentation in colon histology images: The glas challenge contest

Medical image analysis, 2017-01, Vol.35, p.489-502

2017

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Roto-translation equivariant convolutional networks: Application to histopathology image analysis

Medical image analysis, 2021-02, Vol.68, p.101849-101849, Article 101849

2021

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Bandwidth Improvement in Ultrasound Image Reconstruction Using Deep Learning Techniques

Healthcare (Basel), 2022-12, Vol.11 (1), p.123

2022

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Real-time decoding of brain responses to visuospatial attention using 7T fMRI

PloS one, 2011-11, Vol.6 (11), p.e27638-e27638

2011

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LVNet: Lightweight Model for Left Ventricle Segmentation for Short Axis Views in Echocardiographic Imaging

IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 2022-06, Vol.69 (6), p.2115-2128

2022

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Deep learning-based grading of ductal carcinoma in situ in breast histopathology images

Laboratory investigation, 2021-04, Vol.101 (4), p.525-533

2021

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Deep learning based correction of RF field induced inhomogeneities for T2w prostate imaging at 7 T

NMR in biomedicine, 2023-12, Vol.36 (12), p.e5019-e5019

2023

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Liver perfusion in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI): comparison of enhancement in Gd-BT-DO3A and Gd-EOB-DTPA in normal liver parenchyma

European radiology, 2014-09, Vol.24 (9), p.2146-2156

2014

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A rigidity penalty term for nonrigid registration

Medical physics (Lancaster), 2007-11, Vol.34 (11), p.4098-4108

2007

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Imaging to predict checkpoint inhibitor outcomes in cancer. A systematic review

European journal of cancer (1990), 2022-11, Vol.175, p.60-76

2022

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Learning Domain-Invariant Representations of Histological Images

Frontiers in medicine, 2019-07, Vol.6, p.162

2019

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Error estimation of deformable image registration of pulmonary CT scans using convolutional neural networks

Journal of medical imaging (Bellingham, Wash.), 2018-04, Vol.5 (2), p.024003-024003

2018

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Reducing distortions in echo‐planar breast imaging at ultrahigh field with high‐resolution off‐resonance maps

Magnetic resonance in medicine, 2019-07, Vol.82 (1), p.425-435

2019

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Deep learning assessment of breast terminal duct lobular unit involution: Towards automated prediction of breast cancer risk

PloS one, 2020-04, Vol.15 (4), p.e0231653-e0231653

2020

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Breast Cancer Histopathology Image Analysis: A Review

Mitosis Counting in Breast Cancer: Object-Level Interobserver Agreement and Comparison to an Automatic Method

Automatic nuclei segmentation in H&E stained breast cancer histopathology images

Evaluation of Optimization Methods for Nonrigid Medical Image Registration Using Mutual Information and B-Splines

Adaptive Stochastic Gradient Descent Optimisation for Image Registration

Automatic classification of focal liver lesions based on MRI and risk factors

Deep learning-based breast cancer grading and survival analysis on whole-slide histopathology images

Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis

Advanced Ultrasound and Photoacoustic Imaging in Cardiology

Corneal pachymetry by AS-OCT after Descemet’s membrane endothelial keratoplasty

Gland segmentation in colon histology images: The glas challenge contest

Roto-translation equivariant convolutional networks: Application to histopathology image analysis

Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge

Bandwidth Improvement in Ultrasound Image Reconstruction Using Deep Learning Techniques

Real-time decoding of brain responses to visuospatial attention using 7T fMRI

LVNet: Lightweight Model for Left Ventricle Segmentation for Short Axis Views in Echocardiographic Imaging

Deep learning-based grading of ductal carcinoma in situ in breast histopathology images

Deep learning based correction of RF field induced inhomogeneities for T2w prostate imaging at 7 T

Liver perfusion in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI): comparison of enhancement in Gd-BT-DO3A and Gd-EOB-DTPA in normal liver parenchyma

A rigidity penalty term for nonrigid registration

Imaging to predict checkpoint inhibitor outcomes in cancer. A systematic review

Learning Domain-Invariant Representations of Histological Images

Error estimation of deformable image registration of pulmonary CT scans using convolutional neural networks

Reducing distortions in echo‐planar breast imaging at ultrahigh field with high‐resolution off‐resonance maps

Deep learning assessment of breast terminal duct lobular unit involution: Towards automated prediction of breast cancer risk

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