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Disambiguation of "Halicek, Martin T."

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Deep Learning-Based Framework for In Vivo Identification of Glioblastoma Tumor using Hyperspectral Images of Human Brain.

, , , , , , , , , , , , , , , , and . Sensors, 19 (4): 920 (2019)

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Martin T Schwab

Daniela T P Martin

Martin T W Rosenfeld

T Peters

T Frieberg

 

Other publications of authors with the same name

Tumor margin classification of head and neck cancer using hyperspectral imaging and convolutional neural networks., , , , , , and . Medical Imaging: Image-Guided Procedures, volume 10576 of SPIE Proceedings, page 1057605. SPIE, (2018)Deformable registration of histological cancer margins to gross hyperspectral images using demons., , , , , , , , , and . Medical Imaging: Digital Pathology, volume 10581 of SPIE Proceedings, page 105810N. SPIE, (2018)Hyperspectral Imaging for the Detection of Glioblastoma Tumor Cells in H&E Slides Using Convolutional Neural Networks., , , , , , , and . Sensors, 20 (7): 1911 (2020)Incorporating minimal user input into deep-learning-based image segmentation., , , and . Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 1131313. SPIE, (2020)Augmented reality visualization of hyperspectral imaging classifications for image-guided brain tumor phantom resection., , , and . Medical Imaging: Image-Guided Procedures, volume 11315 of SPIE Proceedings, page 113150U. SPIE, (2020)Multiparametric radiomics for predicting the aggressiveness of papillary thyroid carcinoma using hyperspectral images., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)Detecting aggressive papillary thyroid carcinoma using hyperspectral imaging and radiomic features., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)A semiautomatic approach for prostate segmentation in MR images using local texture classification and statistical shape modeling., , , , , , , and . Medical Imaging: Image-Guided Procedures, volume 10951 of SPIE Proceedings, page 109512I. SPIE, (2019)Detection of squamous cell carcinoma in digitized histological images from the head and neck using convolutional neural networks., , , , , , and . Medical Imaging: Digital Pathology, volume 10956 of SPIE Proceedings, page 109560K. SPIE, (2019)The Birth of a Galaxy - III. Propelling reionisation with the faintest galaxies, , , , , , and . (2014)cite arxiv:1403.6123Comment: 21 pages, 15 figures, 4 tables. Submitted to MNRAS. Comments welcome.