Zobrazeno 1 - 10
of 337
pro vyhledávání: '"Mark A. Helvie"'
Autor:
Heang‐Ping Chan, Mark A. Helvie, Mingjie Gao, Lubomir Hadjiiski, Chuan Zhou, Kim Garver, Katherine A. Klein, Carol McLaughlin, Rebecca Oudsema, W. Tania Rahman, Marilyn A. Roubidoux
Publikováno v:
Medical Physics.
Autor:
Mingjie Gao, Mark A. Helvie, Ravi K. Samala, Lubomir M. Hadjiyski, Jeffrey A. Fessler, Heang-Ping Chan
Publikováno v:
Medical Imaging 2023: Physics of Medical Imaging.
Autor:
Celine M. Vachon, John L. Hopper, V. Shane Pankratz, Peter A. Fasching, Douglas F. Easton, Alison M. Dunning, Paul Pharoah, Jacques Simard, Joe Dennis, Kyriaki Michailidou, Qin Wang, Manjeet K. Bolla, Inger Torhild Gram, Anne-Lise Borresen-Dale, Vessela N. Kristensen, Grethe I. Grenaker Alnaes, Giske Ursin, Julia A. Knight, Irene L. Andrulis, Carmel Apicella, Melissa C. Southey, Kavitha Krishnan, Laura Baglietto, Graham G. Giles, Christopher Haiman, Gertraud Maskarinec, Christy Woolcott, Laurence N. Kolonel, Loic Le Marchand, Mark A. Helvie, Heang-Ping Chan, Kaanan P. Shah, Julie A. Douglas, Matthias W. Beckmann, Katharina Heusinger, Sebastian M. Jud, Nicholas J. Wareham, Paula Smith, Kay-Tee Khaw, Robert N. Luben, Ruth M.L. Warren, Jean Leyland, Judith Brown, Fergus J. Couch, Kristen Purrington, Janet E. Olson, Julie Cunningham, Matt Jensen, Per Hall, Kamila Czene, Louise Eriksson, Jingmei Li, Aditi Hazra, Peter Kraft, Sara Lindstrom, Rulla M. Tamimi, Christopher Scott, Isabel dos Santos Silva, Deborah J. Thompson, Jennifer Stone
Supplementary Table 2. Associations (95% Confidence Interval (CI) in brackets) between all 77 breast cancer susceptibility variants and percent dense area, dense area, and non-dense area
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32738ca2d9e064e925064589ee4f42af
https://doi.org/10.1158/0008-5472.22406055.v1
https://doi.org/10.1158/0008-5472.22406055.v1
Autor:
Celine M. Vachon, John L. Hopper, V. Shane Pankratz, Peter A. Fasching, Douglas F. Easton, Alison M. Dunning, Paul Pharoah, Jacques Simard, Joe Dennis, Kyriaki Michailidou, Qin Wang, Manjeet K. Bolla, Inger Torhild Gram, Anne-Lise Borresen-Dale, Vessela N. Kristensen, Grethe I. Grenaker Alnaes, Giske Ursin, Julia A. Knight, Irene L. Andrulis, Carmel Apicella, Melissa C. Southey, Kavitha Krishnan, Laura Baglietto, Graham G. Giles, Christopher Haiman, Gertraud Maskarinec, Christy Woolcott, Laurence N. Kolonel, Loic Le Marchand, Mark A. Helvie, Heang-Ping Chan, Kaanan P. Shah, Julie A. Douglas, Matthias W. Beckmann, Katharina Heusinger, Sebastian M. Jud, Nicholas J. Wareham, Paula Smith, Kay-Tee Khaw, Robert N. Luben, Ruth M.L. Warren, Jean Leyland, Judith Brown, Fergus J. Couch, Kristen Purrington, Janet E. Olson, Julie Cunningham, Matt Jensen, Per Hall, Kamila Czene, Louise Eriksson, Jingmei Li, Aditi Hazra, Peter Kraft, Sara Lindstrom, Rulla M. Tamimi, Christopher Scott, Isabel dos Santos Silva, Deborah J. Thompson, Jennifer Stone
Supplementary Table 3. Associations (95% Confidence Interval (CI) in brackets) between breast cancer susceptibility variants and the mammographic measures with adjustment for case-control status
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c16b410ad3c10e1e98ab475b08a8df3
https://doi.org/10.1158/0008-5472.22406052
https://doi.org/10.1158/0008-5472.22406052
Autor:
Celine M. Vachon, John L. Hopper, V. Shane Pankratz, Peter A. Fasching, Douglas F. Easton, Alison M. Dunning, Paul Pharoah, Jacques Simard, Joe Dennis, Kyriaki Michailidou, Qin Wang, Manjeet K. Bolla, Inger Torhild Gram, Anne-Lise Borresen-Dale, Vessela N. Kristensen, Grethe I. Grenaker Alnaes, Giske Ursin, Julia A. Knight, Irene L. Andrulis, Carmel Apicella, Melissa C. Southey, Kavitha Krishnan, Laura Baglietto, Graham G. Giles, Christopher Haiman, Gertraud Maskarinec, Christy Woolcott, Laurence N. Kolonel, Loic Le Marchand, Mark A. Helvie, Heang-Ping Chan, Kaanan P. Shah, Julie A. Douglas, Matthias W. Beckmann, Katharina Heusinger, Sebastian M. Jud, Nicholas J. Wareham, Paula Smith, Kay-Tee Khaw, Robert N. Luben, Ruth M.L. Warren, Jean Leyland, Judith Brown, Fergus J. Couch, Kristen Purrington, Janet E. Olson, Julie Cunningham, Matt Jensen, Per Hall, Kamila Czene, Louise Eriksson, Jingmei Li, Aditi Hazra, Peter Kraft, Sara Lindstrom, Rulla M. Tamimi, Christopher Scott, Isabel dos Santos Silva, Deborah J. Thompson, Jennifer Stone
Supplementary Table 1. Mean (95% Confidence Interval (CI)) mammographic density measurements by covariate distribution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46d4dbf541464361a87f5e80b63408f7
https://doi.org/10.1158/0008-5472.22406058
https://doi.org/10.1158/0008-5472.22406058
Autor:
Alyssa G. Rieber, Gary J. Whitman, Mark A. Helvie, A David, Lewis E. Foxhall, Kenneth R. Hess
Publikováno v:
Acad Radiol
Rationale and Objectives Mobile mammography units provide preventive health care to patients facing barriers to annual screening. This study reviews the outcomes of a mobile mammography service during a recent 5-year period. Materials and Methods Thi
Publikováno v:
Med Phys
PURPOSE Transfer learning is commonly used in deep learning for medical imaging to alleviate the problem of limited available data. In this work, we studied the risk of feature leakage and its dependence on sample size when using pretrained deep conv
Publikováno v:
Radiology. 299:143-149
Background National Center for Health Statistics (NCHS) data for U.S. women have shown a steady decline in breast cancer mortality rates since 1989. Purpose To analyze U.S. breast cancer mortality rates by age decade in women aged 20-79 years and in
Autor:
Colleen H. Neal, Mark A. Helvie
Publikováno v:
Radiologic Clinics of North America. 59:19-27
Since its widespread introduction 30 years ago, screening mammography has contributed to substantial reduction in breast cancer-associated mortality, ranging from 15% to 50% in observational trials. It is currently the best examination available for
Autor:
Akshat C. Pujara, Annette I. Joe, Mitra Noroozian, Colleen H. Neal, Tianwen Ma, Heang Ping Chan, Katherine E. Maturen, Stephanie K. Patterson, Mark A. Helvie
Publikováno v:
Radiology. 297:534-542
Background Digital breast tomosynthesis (DBT) helps reduce recall rates and improve cancer detection compared with two-dimensional (2D) mammography but has a longer interpretation time. Purpose To evaluate the effect of DBT slab thickness and overlap