Wittenberg T - Search Results

1

Artificial Intelligence-Based Polyp Detection in Colonoscopy: Where Have We Been, Where Do We Stand, and Where Are We Headed?

Wittenberg T, Raithel M. Wittenberg T, et al. Visc Med. 2020 Dec;36(6):428-438. doi: 10.1159/000512438. Epub 2020 Nov 12. Visc Med. 2020. PMID: 33447598 Free PMC article. Review.

2

Automated polyp detection in the colorectum: a prospective study (with videos).

Klare P, Sander C, Prinzen M, Haller B, Nowack S, Abdelhafez M, Poszler A, Brown H, Wilhelm D, Schmid RM, von Delius S, Wittenberg T. Klare P, et al. Among authors: wittenberg t. Gastrointest Endosc. 2019 Mar;89(3):576-582.e1. doi: 10.1016/j.gie.2018.09.042. Epub 2018 Oct 17. Gastrointest Endosc. 2019. PMID: 30342029

3

An evaluation and comparison of the performance of state of the art approaches for the detection of spiculated masses in mammograms.

Kage A, Elter M, Wittenberg T. Kage A, et al. Among authors: wittenberg t. Annu Int Conf IEEE Eng Med Biol Soc. 2007;2007:3773-6. doi: 10.1109/IEMBS.2007.4353153. Annu Int Conf IEEE Eng Med Biol Soc. 2007. PMID: 18002819

4

Computer-assisted diagnosis for precancerous lesions in the esophagus.

Münzenmayer C, Kage A, Wittenberg T, Mühldorfer S. Münzenmayer C, et al. Among authors: wittenberg t. Methods Inf Med. 2009;48(4):324-30. doi: 10.3414/ME9230. Epub 2009 Jun 19. Methods Inf Med. 2009. PMID: 19562230

5

Texture-based computer-assisted diagnosis for fiberscopic images.

Munzenmayer C, Winter C, Rupp S, Kage A, Wittenberg T. Munzenmayer C, et al. Among authors: wittenberg t. Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:3735-8. doi: 10.1109/IEMBS.2009.5334879. Annu Int Conf IEEE Eng Med Biol Soc. 2009. PMID: 19965015

6

The prediction of breast cancer biopsy outcomes using two CAD approaches that both emphasize an intelligible decision process.

Elter M, Schulz-Wendtland R, Wittenberg T. Elter M, et al. Among authors: wittenberg t. Med Phys. 2007 Nov;34(11):4164-72. doi: 10.1118/1.2786864. Med Phys. 2007. PMID: 18072480

7

Number of necessary training examples for Neural Networks with different number of trainable parameters.

Götz TI, Göb S, Sawant S, Erick XF, Wittenberg T, Schmidkonz C, Tomé AM, Lang EW, Ramming A. Götz TI, et al. Among authors: wittenberg t. J Pathol Inform. 2022 Jul 6;13:100114. doi: 10.1016/j.jpi.2022.100114. eCollection 2022. J Pathol Inform. 2022. PMID: 36268092 Free PMC article.

8

Panoramic Imaging Assessment of Different Bladder Phantoms - An Evaluation Study.

Hackner R, Suarez-Ibarrola R, Qiu T, Lemke N, Pohlmann PF, Wilhelm K, Fischer P, Miernik A, Wittenberg T. Hackner R, et al. Among authors: wittenberg t. Urology. 2021 Oct;156:e103-e110. doi: 10.1016/j.urology.2021.05.036. Epub 2021 Jun 1. Urology. 2021. PMID: 34087314

9

Segmentation of leukocytes and erythrocytes in blood smear images.

Bergen T, Steckhan D, Wittenberg T, Zerfass T. Bergen T, et al. Among authors: wittenberg t. Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:3075-8. doi: 10.1109/IEMBS.2008.4649853. Annu Int Conf IEEE Eng Med Biol Soc. 2008. PMID: 19163356

10

Using automated texture features to determine the probability for masking of a tumor on mammography, but not ultrasound.

Häberle L, Hack CC, Heusinger K, Wagner F, Jud SM, Uder M, Beckmann MW, Schulz-Wendtland R, Wittenberg T, Fasching PA. Häberle L, et al. Among authors: wittenberg t. Eur J Med Res. 2017 Aug 30;22(1):30. doi: 10.1186/s40001-017-0270-0. Eur J Med Res. 2017. PMID: 28854966 Free PMC article.

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