CNL-UNet: A novel lightweight deep learning architecture for multimodal biomedical image segmentation with false output suppression

Epileptic Seizure Detection in EEG Signals Using a Unified Temporal-Spectral Squeeze-and-Excitation Network

(2020) Yang Li et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data

(2020) Foivos I. Diakogiannis et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

HeadLocNet: Deep convolutional neural networks for accurate classification and multi-landmark localization of head CTs

(2020) Dongqing Zhang et al.   MEDICAL IMAGE ANALYSIS

DUNet: A deformable network for retinal vessel segmentation

(2019) Qiangguo Jin et al.   KNOWLEDGE-BASED SYSTEMS

Attention gated networks: Learning to leverage salient regions in medical images

(2019) Jo Schlemper et al.   MEDICAL IMAGE ANALYSIS

Association of genomic subtypes of lower-grade gliomas with shape features automatically extracted by a deep learning algorithm

(2019) Mateusz Buda et al.   COMPUTERS IN BIOLOGY AND MEDICINE

DualCheXNet: dual asymmetric feature learning for thoracic disease classification in chest X-rays

(2019) Bingzhi Chen et al.   Biomedical Signal Processing and Control

MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation

(2019) Nabil Ibtehaz et al.   NEURAL NETWORKS

DRUNET: a dilated-residual U-Net deep learning network to segment optic nerve head tissues in optical coherence tomography images

(2018) Sripad Krishna Devalla et al.   Biomedical Optics Express

A large, open source dataset of stroke anatomical brain images and manual lesion segmentations

(2018) Sook-Lei Liew et al.   Scientific Data

The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions

(2018) Philipp Tschandl et al.   Scientific Data

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Radiogenomics of lower-grade glioma: algorithmically-assessed tumor shape is associated with tumor genomic subtypes and patient outcomes in a multi-institutional study with The Cancer Genome Atlas data

(2017) Maciej A. Mazurowski et al.   JOURNAL OF NEURO-ONCOLOGY

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration

(2013) Sema Candemir et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automatic Tuberculosis Screening Using Chest Radiographs

(2013) Stefan Jaeger et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A comparative evaluation of interactive segmentation algorithms

(2009) Kevin McGuinness et al.   PATTERN RECOGNITION