Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and
Future Directions

Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions

15 February 2019

Syed Mohammed Shamsul Islam

Papers citing "Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions"

15 / 15 papers shown

Title
Privacy-preserving datasets by capturing feature distributions with Conditional VAEs Francesco Di Salvo David Tafler Sebastian Doerrich Christian Ledig CML 32 0 0 01 Aug 2024
MISm: A Medical Image Segmentation Metric for Evaluation of weak labeled Data D. Hartmann Verena Schmid Philip Meyer Iñaki Soto Rey Dominik Muller Frank Kramer 30 1 0 24 Oct 2022
Towards a Guideline for Evaluation Metrics in Medical Image Segmentation Dominik Muller Iñaki Soto Rey Frank Kramer 35 277 0 10 Feb 2022
Self-supervised learning methods and applications in medical imaging analysis: A survey Saeed Shurrab R. Duwairi OOD 34 175 0 17 Sep 2021
Resetting the baseline: CT-based COVID-19 diagnosis with Deep Transfer Learning is not as accurate as widely thought F. Altaf Syed Mohammed Shamsul Islam Naveed Akhtar MedIm OOD 13 1 0 12 Aug 2021
Edge-competing Pathological Liver Vessel Segmentation with Limited Labels Zunlei Feng Zhonghua Wang Xinchao Wang Xiuming Zhang Lechao Cheng Jie Lei Yuexuan Wang Mingli Song 22 13 0 01 Aug 2021
Registration of serial sections: An evaluation method based on distortions of the ground truths Oleg Lobachev Takuya Funatomi Alexander Pfaffenroth R. Förster Lars Knudsen ... T. Salaets J. Toelen Simone Gaffling C. Mühlfeld R. Grothausmann 13 2 0 22 Nov 2020
An ENAS Based Approach for Constructing Deep Learning Models for Breast Cancer Recognition from Ultrasound Images Mohammed Ahmed H. Du A. AlZoubi 15 7 0 27 May 2020
IrisNet: Deep Learning for Automatic and Real-time Tongue Contour Tracking in Ultrasound Video Data using Peripheral Vision Mohammad Mozaffari Md. Aminur Rab Ratul Won-Sook Lee 20 2 0 10 Nov 2019
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation D. Jin Ziyue Xu Youbao Tang Adam P. Harrison D. Mollura MedIm 49 185 0 11 Jun 2018
Improving Dermoscopic Image Segmentation with Enhanced Convolutional-Deconvolutional Networks Yading Yuan Y. Lo 134 224 0 28 Sep 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 283 10,613 0 19 Feb 2017
Deep Multi-scale Location-aware 3D Convolutional Neural Networks for Automated Detection of Lacunes of Presumed Vascular Origin Mohsen Ghafoorian N. Karssemeijer Tom Heskes M. Bergkamp Joost Wissink ... K. Keizer F.‐E. Leeuw Bram van Ginneken E. Marchiori B. Platel MedIm 207 123 0 24 Oct 2016
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation Adam Paszke Abhishek Chaurasia Sangpil Kim Eugenio Culurciello SSeg 221 2,056 0 07 Jun 2016
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 183 2,947 0 15 Dec 2014