155 papers with code • 1 benchmarks • 1 datasets

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Most implemented papers

Disentangled Representation Learning in Cardiac Image Analysis

agis85/anatomy_modality_decomposition 22 Mar 2019

We can venture further and consider that a medical image naturally factors into some spatial factors depicting anatomy and factors that denote the imaging characteristics.

Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning

JLiangLab/TransVW 21 Feb 2021

This paper introduces a new concept called "transferable visual words" (TransVW), aiming to achieve annotation efficiency for deep learning in medical image analysis.

Acute and sub-acute stroke lesion segmentation from multimodal MRI

NIC-VICOROB/SUNet-architecture 31 Oct 2018

Acute stroke lesion segmentation tasks are of great clinical interest as they can help doctors make better informed treatment decisions.

End-to-End Variational Networks for Accelerated MRI Reconstruction

facebookresearch/fastMRI 14 Apr 2020

The slow acquisition speed of magnetic resonance imaging (MRI) has led to the development of two complementary methods: acquiring multiple views of the anatomy simultaneously (parallel imaging) and acquiring fewer samples than necessary for traditional signal processing methods (compressed sensing).

KiU-Net: Towards Accurate Segmentation of Biomedical Images using Over-complete Representations

jeya-maria-jose/KiU-Net-pytorch 8 Jun 2020

Due to its excellent performance, U-Net is the most widely used backbone architecture for biomedical image segmentation in the recent years.

Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction

nki-ai/direct CVPR 2022

Magnetic Resonance Imaging can produce detailed images of the anatomy and physiology of the human body that can assist doctors in diagnosing and treating pathologies such as tumours.

Post-acquisition image based compensation for thickness variation in microscopy section series

saalfeldlab/em-thickness-estimation 25 Nov 2014

Serial section Microscopy is an established method for volumetric anatomy reconstruction.

A Hebbian/Anti-Hebbian Network Derived from Online Non-Negative Matrix Factorization Can Cluster and Discover Sparse Features

miyosuda/snmf 2 Mar 2015

Despite our extensive knowledge of biophysical properties of neurons, there is no commonly accepted algorithmic theory of neuronal function.

Image-Based Correction of Continuous and Discontinuous Non-Planar Axial Distortion in Serial Section Microscopy

saalfeldlab/em-thickness-estimation 3 Nov 2015

In serial section microscopy, the axial dimension of the volume is sampled by physically removing thin sections from the embedded specimen and subsequently imaging either the block-face or the section series.

SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound

baumgach/SonoNet-weights 16 Dec 2016

In this paper, we propose a novel method based on convolutional neural networks which can automatically detect 13 fetal standard views in freehand 2D ultrasound data as well as provide a localisation of the fetal structures via a bounding box.