Lääperi AL - Search Results

1

The significance of latissimus dorsi flap innervation in delayed breast reconstruction: a prospective randomized study-magnetic resonance imaging and histologic findings.

Kääriäinen M, Giordano S, Kauhanen S, Lääperi AL, Mattila P, Helminen M, Kalimo H, Kuokkanen H. Kääriäinen M, et al. Among authors: laaperi al. Plast Reconstr Surg. 2011 Dec;128(6):637e-645e. doi: 10.1097/PRS.0b013e318230c544. Plast Reconstr Surg. 2011. PMID: 22094764 Clinical Trial.

2

Characterization of breast cancer types by texture analysis of magnetic resonance images.

Holli K, Lääperi AL, Harrison L, Luukkaala T, Toivonen T, Ryymin P, Dastidar P, Soimakallio S, Eskola H. Holli K, et al. Among authors: laaperi al. Acad Radiol. 2010 Feb;17(2):135-41. doi: 10.1016/j.acra.2009.08.012. Epub 2009 Nov 27. Acad Radiol. 2010. PMID: 19945302

3

Clinical evaluation of a fully-automated parenchymal analysis software for breast cancer risk assessment: A pilot study in a Finnish sample.

Pertuz S, Sassi A, Holli-Helenius K, Kämäräinen J, Rinta-Kiikka I, Lääperi AL, Arponen O. Pertuz S, et al. Among authors: laaperi al. Eur J Radiol. 2019 Dec;121:108710. doi: 10.1016/j.ejrad.2019.108710. Epub 2019 Oct 17. Eur J Radiol. 2019. PMID: 31689665

4

A Comparison of Regions of Interest in Parenchymal Analysis for Breast Cancer Risk Assessment.

Africano G, Arponen O, Sassi A, Karivaara-Makela M, Holli-Helenius K, Rinta-Kiikka I, Laaperi AL, Pertuz S. Africano G, et al. Among authors: laaperi al. Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:1136-1139. doi: 10.1109/EMBC44109.2020.9176200. Annu Int Conf IEEE Eng Med Biol Soc. 2020. PMID: 33018187

5

Do Mammographic Systems Affect the Performance of Computerized Parenchymal Analysis?

Pertuz S, Sassi A, Arponen O, Holli-Helenius K, Laaperi AL, Rinta-Kiikka I. Pertuz S, et al. Among authors: laaperi al. Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:4863-4866. doi: 10.1109/EMBC.2019.8856948. Annu Int Conf IEEE Eng Med Biol Soc. 2019. PMID: 31946950

6

A New Benchmark and Method for the Evaluation of Chest Wall Detection in Digital Mammography.

Africano G, Arponen O, Sassi A, Rinta-Kiikka I, Laaperi AL, Pertuz S. Africano G, et al. Among authors: laaperi al. Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:1132-1135. doi: 10.1109/EMBC44109.2020.9175960. Annu Int Conf IEEE Eng Med Biol Soc. 2020. PMID: 33018186

7

Morphological Area Gradient: System-independent Dense Tissue Segmentation in Mammography Images.

Torres GF, Sassi A, Arponen O, Holli-Helenius K, Laaperi AL, Rinta-Kiikka I, Kamarainen J, Pertuz S. Torres GF, et al. Among authors: laaperi al. Annu Int Conf IEEE Eng Med Biol Soc. 2019 Jul;2019:4855-4858. doi: 10.1109/EMBC.2019.8857320. Annu Int Conf IEEE Eng Med Biol Soc. 2019. PMID: 31946948

8

A dynamic infrared imaging-based diagnostic process for breast cancer.

Joro R, Lääperi AL, Dastidar P, Järvenpää R, Kuukasjärvi T, Toivonen T, Saaristo R, Soimakallio S. Joro R, et al. Among authors: laaperi al. Acta Radiol. 2009 Oct;50(8):860-9. doi: 10.1080/02841850903095377. Acta Radiol. 2009. PMID: 19636984

9

Dynamic infrared imaging in identification of breast cancer tissue with combined image processing and frequency analysis.

Joro R, Lääperi AL, Soimakallio S, Järvenpää R, Kuukasjärvi T, Toivonen T, Saaristo R, Dastidar P. Joro R, et al. Among authors: laaperi al. J Med Eng Technol. 2008 Jul-Aug;32(4):325-35. doi: 10.1080/03091900701541240. J Med Eng Technol. 2008. PMID: 18666012

10

Imaging of breast cancer with mid- and long-wave infrared camera.

Joro R, Lääperi AL, Dastidar P, Soimakallio S, Kuukasjärvi T, Toivonen T, Saaristo R, Järvenpää R. Joro R, et al. Among authors: laaperi al. J Med Eng Technol. 2008 May-Jun;32(3):189-97. doi: 10.1080/03091900701234358. J Med Eng Technol. 2008. PMID: 18432466

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