Martin T. Halicek
According to our database1,
Martin T. Halicek
authored at least 23 papers
between 2017 and 2022.
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Bibliography
2022
Detecting aggressive papillary thyroid carcinoma using hyperspectral imaging and radiomic features.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
2021
Pixel-level tumor margin assessment of surgical specimen with hyperspectral imaging and deep learning classification.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
Multiparametric radiomics for predicting the aggressiveness of papillary thyroid carcinoma using hyperspectral images.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
2020
Hyperspectral Imaging for the Detection of Glioblastoma Tumor Cells in H&E Slides Using Convolutional Neural Networks.
Sensors, 2020
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Augmented reality visualization of hyperspectral imaging classifications for image-guided brain tumor phantom resection.
Proceedings of the Medical Imaging 2020: Image-Guided Procedures, 2020
Hyperspectral imaging and deep learning for the detection of breast cancer cells in digitized histological images.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Using a 22-layer U-Net to perform segmentation of squamous cell carcinoma on digitized head and neck histological images.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Hyperspectral microscopic imaging for automatic detection of head and neck squamous cell carcinoma using histologic image and machine learning.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Conditional generative adversarial network for synthesizing hyperspectral images of breast cancer cells from digitized histology.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Fully automated segmentation of the right ventricle in patients with repaired Tetralogy of Fallot using U-Net.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020
In vivo cancer detection in animal model using hyperspectral image classification with wavelet feature extraction.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020
2019
Deep Learning-Based Framework for <i>In Vivo</i> Identification of Glioblastoma Tumor using Hyperspectral Images of Human Brain.
Sensors, 2019
A semiautomatic approach for prostate segmentation in MR images using local texture classification and statistical shape modeling.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
Cancer detection using hyperspectral imaging and evaluation of the superficial tumor margin variance with depth.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
Surgical aid visualization system for glioblastoma tumor identification based on deep learning and in-vivo hyperspectral images of human patients.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
Detection of squamous cell carcinoma in digitized histological images from the head and neck using convolutional neural networks.
Proceedings of the Medical Imaging 2019: Digital Pathology, 2019
2018
A semiautomatic algorithm for three-dimensional segmentation of the prostate on CT images using shape and local texture characteristics.
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018
Tumor margin classification of head and neck cancer using hyperspectral imaging and convolutional neural networks.
Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018
Deformable registration of histological cancer margins to gross hyperspectral images using demons.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018
Convolutional neural networks for the detection of diseased hearts using CT images and left atrium patches.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018
2017
Label-free hyperspectral imaging and quantification methods for surgical margin assessment of tissue specimens of cancer patients.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017