Errol Colak

Orcid: 0000-0002-3771-7975

According to our database1, Errol Colak authored at least 21 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
The RSNA Abdominal Traumatic Injury CT (RATIC) Dataset.
CoRR, 2024

Organ Proximity Analysis: A Novel Approach to Spleen Localization for Accurate Injury Grading in Abdominal CT Scans.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn).
CoRR, 2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting.
CoRR, 2023

BenchMD: A Benchmark for Modality-Agnostic Learning on Medical Images and Sensors.
CoRR, 2023

Federated Learning on Heterogenous Data using Chest CT.
CoRR, 2023

2021
Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CT.
npj Digit. Medicine, 2021

Do as AI say: susceptibility in deployment of clinical decision-aids.
npj Digit. Medicine, 2021

NanoBatch DPSGD: Exploring Differentially Private learning on ImageNet with low batch sizes on the IPU.
CoRR, 2021

The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification.
CoRR, 2021

A Real-World Demonstration of Machine Learning Generalizability: Intracranial Hemorrhage Detection on Head CT.
CoRR, 2021

Deep Sequential Learning For Cervical Spine Fracture Detection On Computed Tomography Imaging.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2019
Synthesizing Chest X-Ray Pathology for Training Deep Convolutional Neural Networks.
IEEE Trans. Medical Imaging, 2019

Privacy Preserving Deep Learning with Distributed Encoders.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

2018
Recent Advances in Recurrent Neural Networks.
CoRR, 2018

Generalization of Deep Neural Networks for Chest Pathology Classification in X-Rays Using Generative Adversarial Networks.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Cylindrical Transform: 3D Semantic Segmentation of Kidneys with Limited Annotated Images.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Unsupervised Semantic Segmentation of Kidneys Using Radial Transform Sampling on Limited Images.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017
Interpretation of Mammogram and Chest Radiograph Reports using Deep Neural Networks - Preliminary Results.
CoRR, 2017

A Convolutional Neural Network for Search Term Detection-A Draft.
CoRR, 2017

A convolutional neural network for search term detection.
Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017


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