Mixed 2D and 3D convolutional network with multi-scale context for lesion segmentation in breast DCE-MRI

Unified model for interpreting multi-view echocardiographic sequences without temporal information

(2020) Ming Li et al.   APPLIED SOFT COMPUTING

Cross-modality deep feature learning for brain tumor segmentation

(2020) Dingwen Zhang et al.   PATTERN RECOGNITION

Breast cancer detection from biopsy images using nucleus guided transfer learning and belief based fusion

(2020) Kalpana George et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Multi-View Spatial Aggregation Framework for Joint Localization and Segmentation of Organs at Risk in Head and Neck CT Images

(2020) Shujun Liang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

3D automatic levels propagation approach to breast MRI tumor segmentation

(2020) Fatah Bouchebbah et al.   EXPERT SYSTEMS WITH APPLICATIONS

CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation

(2020) Ran Gu et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Multitask Learning for Estimating Multitype Cardiac Indices in MRI and CT Based on Adversarial Reverse Mapping

(2020) Chengjin Yu et al.   IEEE Transactions on Neural Networks and Learning Systems

Automatic Breast and Fibroglandular Tissue Segmentation in Breast MRI Using Deep Learning by a Fully-Convolutional Residual Neural Network U-Net

(2019) Yang Zhang et al.   ACADEMIC RADIOLOGY

Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges

(2019) Mohammad Hesam Hesamian et al.   JOURNAL OF DIGITAL IMAGING

Preliminary results of computer-aided diagnosis for magnetic resonance imaging of solid breast lesions

(2019) Qiujie Yu et al.   BREAST CANCER RESEARCH AND TREATMENT

Crossbar-Net: A Novel Convolutional Neural Network for Kidney Tumor Segmentation in CT Images

(2019) Qian Yu et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Deep Q Learning Driven CT Pancreas Segmentation With Geometry-Aware U-Net

(2019) Yunze Man et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Imaging phenotypes of breast cancer heterogeneity in pre-operative breast Dynamic Contrast Enhanced Magnetic Resonance Imaging (DCE-MRI) scans predict 10-year recurrence

(2019) Rhea Chitalia et al.   CLINICAL CANCER RESEARCH

Joint Prostate Cancer Detection and Gleason Score Prediction in mp-MRI via FocalNet

(2019) Ruiming Cao et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Multi-planar 3D breast segmentation in MRI via deep convolutional neural networks

(2019) Gabriele Piantadosi et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Rapid review: radiomics and breast cancer

(2018) Francesca Valdora et al.   BREAST CANCER RESEARCH AND TREATMENT

H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

(2018) Xiaomeng Li et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Hierarchical Convolutional Neural Networks for Segmentation of Breast Tumors in MRI with Application to Radiogenomics

(2018)   IEEE TRANSACTIONS ON MEDICAL IMAGING

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Using deep learning to segment breast and fibroglandular tissue in MRI volumes

(2017) Mehmet Ufuk Dalmış et al.   MEDICAL PHYSICS

Automatic Segmentation of MR Brain Images With a Convolutional Neural Network

(2016) Pim Moeskops et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Level Set Segmentation of Breast Masses in Contrast-Enhanced Dedicated Breast CT and Evaluation of Stopping Criteria

(2013) Hsien-Chi Kuo et al.   JOURNAL OF DIGITAL IMAGING