Semi-supervised Learning using Denoising Autoencoders for Brain Lesion
Detection and Segmentation

Semi-supervised Learning using Denoising Autoencoders for Brain Lesion Detection and Segmentation

26 November 2016

Subramaniam Thirunavukkarasu

Ganapathy Krishnamurthi

Papers citing "Semi-supervised Learning using Denoising Autoencoders for Brain Lesion Detection and Segmentation"

14 / 14 papers shown

Title
From Data to Insights: A Comprehensive Survey on Advanced Applications in Thyroid Cancer Research Xinyu Zhang Vincent C. S. Lee Feng Liu 19 3 0 08 Jan 2024
The role of noise in denoising models for anomaly detection in medical images Antanas Kascenas Pedro Sanchez Patrick Schrempf Chaoyang Wang William Clackett ... K. Goatman Alexander Weir N. Pugeault Sotirios A. Tsaftaris Alison Q. OÑeil DiffM MedIm 19 30 0 19 Jan 2023
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification Junfei Xiao Yutong Bai Alan Yuille Zongwei Zhou MedIm ViT 39 59 0 23 Oct 2022
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning Ze-kun Li Wei Zhao F. Shi Lei Qi Xingzhi Xie ... Yang Gao Shangjie Wu Jun Liu Yinghuan Shi Dinggang Shen 44 57 0 07 Feb 2021
Transfer Learning in Magnetic Resonance Brain Imaging: a Systematic Review Juan Miguel Valverde Vandad Imani A. Abdollahzadeh Riccardo De Feo M. Prakash Robert Ciszek Jussi Tohka OOD 20 93 0 02 Feb 2021
Models Genesis Zongwei Zhou V. Sodha Jiaxuan Pang Michael B. Gotway Jianming Liang MedIm 29 28 0 09 Apr 2020
Deep Learning in Multi-organ Segmentation Y. Lei Yabo Fu Tonghe Wang Richard L. J. Qiu W. Curran Tian-xing Liu Xiaofeng Yang SSeg 39 32 0 28 Jan 2020
Lesion Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale Jinzheng Cai Adam P. Harrison Youjing Zheng Ke Yan Yuankai Huo Jing Xiao Lin Yang Le Lu MedIm 27 25 0 21 Jan 2020
Artificial Intelligence in Glioma Imaging: Challenges and Advances Weina Jin M. Fatehi Kumar Abhishek Mayur Mallya B. Toyota Ghassan Hamarneh 33 42 0 28 Nov 2019
Scribble-based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation Zhanghexuan Ji Yan Shen Chunwei Ma Mingchen Gao 27 64 0 05 Nov 2019
FastSurfer -- A fast and accurate deep learning based neuroimaging pipeline Leonie Henschel Sailesh Conjeti Santiago Estrada K. Diers Bruce Fischl M. Reuter MedIm 30 386 0 09 Oct 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation Nima Tajbakhsh Laura Jeyaseelan Q. Li J. Chiang Zhihao Wu Xiaowei Ding 38 752 0 27 Aug 2019
Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data Nima Tajbakhsh Yufei Hu Junli Cao Xingjian Yan Yi Xiao Yong Lu Jianming Liang Demetri Terzopoulos Xiaowei Ding 25 77 0 25 Jan 2019
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis Veronika Cheplygina Marleen de Bruijne J. Pluim 23 745 0 17 Apr 2018