Ecosyste.ms: Papers

An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.

Projects: pypi: Lasagne

https://packages.ecosyste.ms/registries/pypi.org/packages/Lasagne

A lightweight library to build and train neural networks in Theano
2 versions
Latest release: about 1 year ago
1,988 downloads last month

Papers Mentioning Lasagne 20

NiftyNet: a deep-learning platform for medical imaging
Cited by: 429
Author(s): Eli Gibson, Wenqi Li, Carole H. Sudre, Lucas Fidon, Dzhoshkun I. Shakir, Guotai Wang, Zach Eaton-Rosen, Robert Gray, Tom Doel, Yipeng Hu, T. Whyntie, Parashkev Nachev, Marc Modat, Dean C. Barratt, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren
Software Mentions: 9
Published: over 6 years ago

10.1007/s12559-020-09773-x

Deep Learning in Mining Biological Data
Cited by: 197
Author(s): Mufti Mahmud, M. Shamim Kaiser, TM McGinnity, Amir Hussain
Software Mentions: 7
Published: almost 4 years ago

10.3390/jimaging7020019

Deep Learning for Brain Tumor Segmentation: A Survey of State-of-the-Art
Cited by: 69
Author(s): Tirivangani Magadza, Serestina Viriri
Software Mentions: 5
Published: almost 4 years ago

10.1371/journal.pone.0229502

A background correction method to compensate illumination variation in hyperspectral imaging
Cited by: 6
Author(s): Jonghee Yoon, Alexandru Grigoroiu, Sarah E. Bohndiek
Software Mentions: 5
Published: over 4 years ago

10.3390/s19030521

A Comparison of Machine Learning and Deep Learning Techniques for Activity Recognition using Mobile Devices
Cited by: 37
Author(s): Alejandro Baldominos, Alejandro Cervantes, Yago Sáez, Pedro Isasi
Software Mentions: 5
Published: almost 6 years ago

10.1007/s10278-017-9965-6

Toolkits and Libraries for Deep Learning
Cited by: 110
Author(s): Bradley J. Erickson, Panagiotis Korfiatis, Zeynettin Akkus, Timothy L. Kline, Kenneth A. Philbrick
Software Mentions: 4
Published: over 7 years ago

10.3389/fnins.2020.00192

A Deep Learning Approach for Mild Depression Recognition Based on Functional Connectivity Using Electroencephalography
Cited by: 48
Author(s): Xiaowei Li, Rong La, Ying Wang, Bin Hu, Xuemin Zhang
Software Mentions: 3
Published: over 4 years ago

10.1186/s12874-018-0482-1

DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network
Cited by: 758
Author(s): Jared Katzman, Uri Shaham, Alexander Cloninger, Jonathan Bates, Tingting Jiang, Yuval Kluger
Software Mentions: 3
Published: over 6 years ago

10.1038/s41598-019-43372-7

Deep learning-based survival prediction of oral cancer patients
Cited by: 149
Author(s): Dong Wook Kim, Sanghoon Lee, Sunmo Kwon, Woong Nam, In‐Ho Cha, Hyung Jun Kim
Software Mentions: 3
Published: over 5 years ago

10.1186/s12859-017-1878-3

Predicting enhancers with deep convolutional neural networks
Cited by: 73
Author(s): Min Xu, Wanwen Zeng, Shengquan Chen, Ning Chen, Ting Chen, Rui Jiang
Software Mentions: 3
Published: about 7 years ago

10.3389/fbioe.2020.534592

Alzheimer's Disease Detection Through Whole-Brain 3D-CNN MRI
Cited by: 48
Author(s): Guilherme Folego, Marina Weiler, Raphael Fernandes Casseb, Ramon Pires, Armando Freitas da Rocha
Software Mentions: 2
Published: about 4 years ago

10.7717/peerj.6335

Robust and accurate quantification of biomarkers of immune cells in lung cancer micro-environment using deep convolutional neural networks
Cited by: 19
Author(s): L Aprupe, Geert Litjens, Titus J. Brinker, Jeroen van der Laak, Niels Grabe
Software Mentions: 2
Published: over 5 years ago

10.7717/peerj.10549

Comparison of machine learning approaches for enhancing Alzheimer’s disease classification
Cited by: 3
Author(s): Qi Li, Mary Qu Yang
Software Mentions: 2
Published: over 3 years ago

10.1038/s41598-020-69920-0

Variability and reproducibility in deep learning for medical image segmentation
Cited by: 95
Author(s): Félix Renard, Soulaimane Guedria, Noël De Palma, Nicolas Vuillerme
Software Mentions: 2
Published: over 4 years ago

10.1038/s41598-017-05728-9

Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MR
Cited by: 203
Author(s): Stefano Trebeschi, Joost J.M. van Griethuysen, Doenja M. J. Lambregts, Max J. Lahaye, Chintan Parmar, Frans C. H. Bakers, Niek A. Peters, Regina G. H. Beets‐Tan, Hugo J.W.L. Aerts
Software Mentions: 2
Published: over 7 years ago

10.1038/s41598-017-17876-z

Leveraging uncertainty information from deep neural networks for disease detection
Cited by: 335
Author(s): Christian Leibig, Vaneeda Allken, Murat Seçkin Ayhan, Philipp Berens, Siegfried Wahl
Software Mentions: 2
Published: almost 7 years ago

10.1007/s10142-016-0522-z

Novel SNPs and InDels discovered in two promoter regions of porcine pregnancy-associated glycoprotein 2-like subfamily (pPAG2-Ls) in crossbreed pigs
Cited by: 4
Author(s): Martyna Bieniek-Kobuszewska, Grzegorz Panasiewicz, Aleksandra Lipka, Marta Majewska, Bożena Szafrańska
Software Mentions: 1
Published: about 8 years ago

10.1186/1471-2105-14-333

Similarity maps and hierarchical clustering for annotating FT-IR spectral images
Cited by: 8
Author(s): Qiaoyong Zhong, Yang Chen, Frederik Großerüschkamp, Angela Kallenbach-Thieltges, Peter Serocka, Klaus Gerwert, Axel Mosig
Software Mentions: 1
Published: about 11 years ago

10.1038/s41598-018-27272-w

A deep learning framework to discern and count microscopic nematode eggs
Cited by: 59
Author(s): Adedotun Akintayo, Gregory L. Tylka, Asheesh K. Singh, Baskar Ganapathysubramanian, Soumik Sarkar
Software Mentions: 1
Published: over 6 years ago

10.3390/s21041031

A Generalization Performance Study Using Deep Learning Networks in Embedded Systems
Cited by: 11
Author(s): Joseba Gorospe, Rubén Mulero, Olatz Arbelaitz, Javier Muguerza, Miguel Antón
Software Mentions: 1
Published: almost 4 years ago