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: fastai

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

fastai simplifies training fast and accurate neural nets using modern best practices
135 versions
Latest release: about 1 year ago
50 dependent packages
378,931 downloads last month

Papers Mentioning fastai 18

Sensitivity analysis for interpretation of machine learning based segmentation models in cardiac MRI
Cited by: 14
Author(s): Markus J. Ankenbrand, Liliia Shainberg, Michael Hock, David Lohr, Laura M. Schreiber
Software Mentions: 18
Published: almost 4 years ago

10.1371/journal.pone.0254062

PHOTONAI—A Python API for rapid machine learning model development
Cited by: 8
Author(s): Ramona Leenings, Nils R. Winter, Lucas Plagwitz, Vincent Holstein, Jan Ernsting, Kelvin Sarink, L. Fisch, Jakob Steenweg, Leon Kleine-Vennekate, Julian Gebker, Daniel Emden, Dominik Grotegerd, Nils Opel, Benjamin Risse, Xiaoyi Jiang, Udo Dannlowski, Tim Hahn
Software Mentions: 15
Published: over 3 years ago

10.3389/frai.2020.559617

An Interpretable Predictive Model of Vaccine Utilization for Tanzania
Cited by: 1
Author(s): R. Hariharan, Johnna Sundberg, Giacomo Gallino, Ashley Schmidt, Drew Arenth, Suvrit Sra, Benjamin Fels
Software Mentions: 5
Published: about 4 years ago

10.1186/s12859-020-3425-x

OffsampleAI: artificial intelligence approach to recognize off-sample mass spectrometry images
Cited by: 26
Author(s): Katja Ovchinnikova, Vitaly Kovalev, Lachlan Stuart, Theodore Alexandrov
Software Mentions: 5
Published: over 4 years ago

10.1038/s41598-020-60932-4

An empirical comparison of neural networks and machine learning algorithms for EEG gait decoding
Cited by: 44
Author(s): Sho Nakagome, Trieu Phat Luu, Yongtian He, Akshay Sujatha Ravindran, José L. Contreras-Vidal
Software Mentions: 5
Published: almost 5 years ago

10.3390/s21144837

Optimally-Weighted Image-Pose Approach (OWIPA) for Distracted Driver Detection and Classification
Cited by: 10
Author(s): Hong Vin Koay, Joon Huang Chuah, Chee-Onn Chow, Yang-Lang Chang, Bhuvendhraa Rudrusamy
Software Mentions: 4
Published: over 3 years ago

10.3389/fmed.2020.00177

Effects of Label Noise on Deep Learning-Based Skin Cancer Classification
Cited by: 31
Author(s): Achim Hekler, Jakob Nikolas Kather, Eva Krieghoff-Henning, Jochen Utikal, Friedegund Meier, Frank Friedrich Gellrich, Julius Upmeier zu Belzen, Lars E. French, Justin Gabriel Schlager, Kamran Ghoreschi, Tabea Wilhelm, Heinz Kutzner, Carola Berking, Markus V. Heppt, Sebastian Haferkamp, Wiebke Sondermann, Dirk Schadendorf, Bastian Schilling, Benjamin Izar, Roman C. Maron, Max Schmitt, Stefan Fröhling, Daniel B. Lipka, Titus J. Brinker
Software Mentions: 4
Published: over 4 years ago

10.1242/bio.052936

A fully automated deep learning pipeline for high-throughput colony segmentation and classification
Cited by: 4
Author(s): Sarah H. Carl, Lea Duempelmann, Yukiko Shimada, Marc Bühler
Software Mentions: 4
Published: over 4 years ago

10.7554/eLife.63596

A rapid whisker-based decision underlying skilled locomotion in mice
Cited by: 14
Author(s): Richard Warren, Qianyun Zhang, Judah R Hoffman, Edward Y Li, Y. Kate Hong, Randy M. Bruno, Nathaniel B. Sawtell
Software Mentions: 3
Published: almost 4 years ago

10.1098/rsif.2021.0140

A massively multi-scale approach to characterizing tissue architecture by synchrotron micro-CT applied to the human placenta
Cited by: 16
Author(s): Win Min Tun, Gowsihan Poologasundarampillai, Helen Bischof, Gareth Nye, Oliver N. King, Mark Basham, Yasuaki Tokudome, Rohan M. Lewis, Edward Johnstone, Paul Brownbill, Michele C. Darrow, Igor L. Chernyavsky
Software Mentions: 2
Published: over 3 years ago

10.1155/2019/3059170

Automated Ventricular System Segmentation in Paediatric Patients Treated for Hydrocephalus Using Deep Learning Methods
Cited by: 13
Author(s): Michał Klimont, Mateusz Flieger, Jacek Rzeszutek, Joanna Stachera, Aleksandra Zakrzewska, Katarzyna Jończyk‐Potoczna
Software Mentions: 2
Published: over 5 years ago

10.1155/2021/6262194

Edge AI-Based Automated Detection and Classification of Road Anomalies in VANET Using Deep Learning
Cited by: 44
Author(s): Rozi Bibi, Yousaf Saeed, Asim Zeb, Taher M. Ghazal, Taj Rahman, Raed A. Said, Sagheer Abbas, Munir Ahmad, Muhammad Adnan Khan
Software Mentions: 2
Published: about 3 years ago

10.3390/diagnostics11091676

Convolutional Neural Networks for Classifying Laterality of Vestibular Schwannomas on Single MRI Slices—A Feasibility Study
Cited by: 1
Author(s): Philipp Sager, Lukas Näf, Erwin Vu, Tim Fischer, Paul Martin Putora, Felix Ehret, Christoph Fürweger, Christina Schröder, R. E. Forster, Daniel R. Zwahlen, Alexander Muacevic, Paul Windisch
Software Mentions: 2
Published: over 3 years ago

10.1038/s41598-020-75546-z

TzanckNet: a convolutional neural network to identify cells in the cytology of erosive-vesiculobullous diseases
Cited by: 9
Author(s): Mehmet Alican Noyan, Murat Durdu, Ali Haydar Eskiocak
Software Mentions: 2
Published: about 4 years ago

10.3390/s21082582

Performance Evaluation of Machine Learning Frameworks for Aphasia Assessment
Cited by: 11
Author(s): S.A. Mahmoud, Akshay Kumar, Youcun Li, Yiting Tang, Qiang Fang
Software Mentions: 2
Published: over 3 years ago

10.1155/2020/6648574

IoMT-Based Automated Detection and Classification of Leukemia Using Deep Learning
Cited by: 60
Author(s): Nighat Bibi, Misba Sikandar, Ikram Ud Din, Ahmad Almogren, Sikandar Ali
Software Mentions: 2
Published: about 4 years ago

10.3390/jpm11060522

Automatic Hip Detection in Anteroposterior Pelvic Radiographs—A Labelless Practical Framework
Cited by: 7
Author(s): Fengyu Liu, Chih-Chi Chen, Chi‐Tung Cheng, Cheng-Ta Wu, Chih-Po Hsu, Chih-Yuan Fu, Shann-Ching Chen, Chien‐Hung Liao, Mel S. Lee
Software Mentions: 2
Published: over 3 years ago

10.1002/aps3.11352

Generating segmentation masks of herbarium specimens and a data set for training segmentation models using deep learning
Cited by: 24
Author(s): Alexander E. White, Rebecca B. Dikow, Makinnon Baugh, Abigail Jenkins, Paul B. Frandsen
Software Mentions: 2
Published: over 4 years ago