Search Results - "Kaneko, Tadashi S"

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  1. 1

    ST-V-Net: incorporating shape prior into convolutional neural networks for proximal femur segmentation by Zhao, Chen, Keyak, Joyce H., Tang, Jinshan, Kaneko, Tadashi S., Khosla, Sundeep, Amin, Shreyasee, Atkinson, Elizabeth J., Zhao, Lan-Juan, Serou, Michael J., Zhang, Chaoyang, Shen, Hui, Deng, Hong-Wen, Zhou, Weihua

    Published in Complex & intelligent systems (01-06-2023)
    “…We aim to develop a deep-learning-based method for automatic proximal femur segmentation in quantitative computed tomography (QCT) images. We proposed a…”
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    Journal Article
  2. 2

    The effect of simulated metastatic lytic lesions on proximal femoral strength by Keyak, Joyce H, Kaneko, Tadashi S, Skinner, Harry B, Hoang, Bang H

    Published in Clinical orthopaedics and related research (01-06-2007)
    “…Metastatic lesions in the proximal femur can reduce hip strength and lead to pathologic fracture. However, current methods for identifying patients at risk of…”
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    Journal Article
  3. 3

    Predicting proximal femoral strength using structural engineering models by Keyak, Joyce H, Kaneko, Tadashi S, Tehranzadeh, Jamshid, Skinner, Harry B

    Published in Clinical orthopaedics and related research (01-08-2005)
    “…Hip fracture related to osteoporosis and metastatic disease is a major cause of morbidity and mortality. An accurate and precise method of predicting proximal…”
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    Journal Article
  4. 4

    Mechanical properties, density and quantitative CT scan data of trabecular bone with and without metastases by Kaneko, Tadashi S., Bell, Jason S., Pejcic, Marina R., Tehranzadeh, Jamshid, Keyak, Joyce H.

    Published in Journal of biomechanics (01-04-2004)
    “…Pathologic fracture of the hip due to metastatic lesions in bone is a serious problem. This study examined the effect of metastatic lesions on the material…”
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  5. 5

    Relationships between material properties and CT scan data of cortical bone with and without metastatic lesions by Kaneko, Tadashi S., Pejcic, Marina R., Tehranzadeh, Jamshid, Keyak, Joyce H.

    Published in Medical engineering & physics (01-07-2003)
    “…Breast, prostate, lung, and other cancers can metastasize to bone and lead to pathological fracture. To lay the groundwork for new clinical techniques for…”
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  6. 6

    Lytic lesions in the femoral neck: Importance of location and evaluation of a novel minimally invasive repair technique by Kaneko, Tadashi S., Skinner, Harry B., Keyak, Joyce H.

    Published in Journal of orthopaedic research (01-08-2008)
    “…Proximal femoral metastases can lead to pathologic fracture. The goals of this study were to improve guidelines for assessing pathologic hip fracture risk by…”
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  7. 7

    Predicting the strength of femoral shafts with and without metastatic lesions by Keyak, Joyce H, Kaneko, Tadashi S, Rossi, Stephen A, Pejcic, Marina R, Tehranzadeh, Jamshid, Skinner, Harry B

    Published in Clinical orthopaedics and related research (01-10-2005)
    “…To evaluate a potential tool for assessing the risk of a pathologic fracture of the femoral shaft, we examined whether fracture loads computed by our computed…”
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  8. 8

    Feasibility of a percutaneous technique for repairing proximal femora with simulated metastatic lesions by Kaneko, Tadashi S, Skinner, Harry B, Keyak, Joyce H

    Published in Medical engineering & physics (01-06-2007)
    “…Abstract Fracture of the proximal femur due to metastatic disease is a significant cause of morbidity and mortality among breast cancer patients. Prophylactic…”
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  9. 9
  10. 10

    A Deep Learning-Based Method for Automatic Segmentation of Proximal Femur from Quantitative Computed Tomography Images by Zhao, Chen, Keyak, Joyce H, Tang, Jinshan, Kaneko, Tadashi S, Khosla, Sundeep, Amin, Shreyasee, Atkinson, Elizabeth J, Zhao, Lan-Juan, Serou, Michael J, Zhang, Chaoyang, Shen, Hui, Deng, Hong-Wen, Zhou, Weihua

    Published 09-06-2020
    “…Purpose: Proximal femur image analyses based on quantitative computed tomography (QCT) provide a method to quantify the bone density and evaluate osteoporosis…”
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    Journal Article