Search Results - "GIGER, Maryellen L"

Artificial intelligence in the interpretation of breast cancer on MRI by Sheth, Deepa, Giger, Maryellen L.

“…Advances in both imaging and computers have led to the rise in the potential use of artificial intelligence (AI) in various tasks in breast imaging, going…”
Get full text

A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets by Antropova, Natalia, Huynh, Benjamin Q., Giger, Maryellen L.

“…Background Deep learning methods for radiomics/computer‐aided diagnosis (CADx) are often prohibited by small datasets, long computation time, and the need for…”
Get full text

A deep learning methodology for improved breast cancer diagnosis using multiparametric MRI by Hu, Qiyuan, Whitney, Heather M., Giger, Maryellen L.

“…Multiparametric magnetic resonance imaging (mpMRI) has been shown to improve radiologists’ performance in the clinical diagnosis of breast cancer. This machine…”
Get full text

Deep learning in medical imaging and radiation therapy by Sahiner, Berkman, Pezeshk, Aria, Hadjiiski, Lubomir M., Wang, Xiaosong, Drukker, Karen, Cha, Kenny H., Summers, Ronald M., Giger, Maryellen L.

“…The goals of this review paper on deep learning (DL) in medical imaging and radiation therapy are to (a) summarize what has been achieved to date; (b) identify…”
Get full text

Digital mammographic tumor classification using transfer learning from deep convolutional neural networks by Huynh, Benjamin Q, Li, Hui, Giger, Maryellen L

“…Convolutional neural networks (CNNs) show potential for computer-aided diagnosis (CADx) by learning features directly from the image data instead of using…”
Get full text

Artificial intelligence in cancer imaging: Clinical challenges and applications by Bi, Wenya Linda, Hosny, Ahmed, Schabath, Matthew B., Giger, Maryellen L., Birkbak, Nicolai J., Mehrtash, Alireza, Allison, Tavis, Arnaout, Omar, Abbosh, Christopher, Dunn, Ian F., Mak, Raymond H., Tamimi, Rulla M., Tempany, Clare M., Swanton, Charles, Hoffmann, Udo, Schwartz, Lawrence H., Gillies, Robert J., Huang, Raymond Y., Aerts, Hugo J. W. L.

“…Judgement, as one of the core tenets of medicine, relies upon the integration of multilayered data with nuanced decision making. Cancer offers a unique context…”
Get full text

MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays by Li, Hui, Zhu, Yitan, Burnside, Elizabeth S, Drukker, Karen, Hoadley, Katherine A, Fan, Cheng, Conzen, Suzanne D, Whitman, Gary J, Sutton, Elizabeth J, Net, Jose M, Ganott, Marie, Huang, Erich, Morris, Elizabeth A, Perou, Charles M, Ji, Yuan, Giger, Maryellen L

“…Purpose To investigate relationships between computer-extracted breast magnetic resonance (MR) imaging phenotypes with multigene assays of MammaPrint, Oncotype…”
Get full text

Artificial Intelligence: reshaping the practice of radiological sciences in the 21st century by El Naqa, Issam, Haider, Masoom A, Giger, Maryellen L, Ten Haken, Randall K

“…Advances in computing hardware and software platforms have led to the recent resurgence in artificial intelligence (AI) touching almost every aspect of our…”
Get full text

Deciphering Genomic Underpinnings of Quantitative MRI-based Radiomic Phenotypes of Invasive Breast Carcinoma by Zhu, Yitan, Li, Hui, Guo, Wentian, Drukker, Karen, Lan, Li, Giger, Maryellen L., Ji, Yuan

“…Magnetic Resonance Imaging (MRI) has been routinely used for the diagnosis and treatment of breast cancer. However, the relationship between the MRI tumor…”
Get full text

Breast image analysis for risk assessment, detection, diagnosis, and treatment of cancer by Giger, Maryellen L, Karssemeijer, Nico, Schnabel, Julia A

“…The role of breast image analysis in radiologists' interpretation tasks in cancer risk assessment, detection, diagnosis, and treatment continues to expand…”
Get full text

Specific in situ inflammatory states associate with progression to renal failure in lupus nephritis by Abraham, Rebecca, Durkee, Madeleine S, Ai, Junting, Veselits, Margaret, Casella, Gabriel, Asano, Yuta, Chang, Anthony, Ko, Kichul, Oshinsky, Charles, Peninger, Emily, Giger, Maryellen L, Clark, Marcus R

“…BACKGROUNDIn human lupus nephritis (LN), tubulointerstitial inflammation (TII) on biopsy predicts progression to end-stage renal disease (ESRD). However, only…”
Get full text

Cancerous Breast Lesions on Dynamic Contrast-enhanced MR Images: Computerized Characterization for Image-based Prognostic Markers by BHOOSHAN, Neha, GIGER, Maryellen L, JANSEN, Sanaz A, HUI LI, LI LAN, NEWSTEAD, Gillian M

“…Purpose: To assess the performance of computer-extracted dynamic contrast material–enhanced (DCE) magnetic resonance (MR) imaging kinetic and morphologic…”
Get full text

Validation of quantitative analysis of multiparametric prostate MR images for prostate cancer detection and aggressiveness assessment: a cross-imager study by Peng, Yahui, Jiang, Yulei, Antic, Tatjana, Giger, Maryellen L, Eggener, Scott E, Oto, Aytekin

“…To validate three previously identified quantitative image features across multiparametric magnetic resonance (MR) images acquired with imagers made by two…”
Get full text

Machine Learning in Medical Imaging by Giger, Maryellen L.

“…Advances in both imaging and computers have synergistically led to a rapid rise in the potential use of artificial intelligence in various radiological imaging…”
Get full text

Volumetric texture analysis of breast lesions on contrast-enhanced magnetic resonance images by Chen, Weijie, Giger, Maryellen L., Li, Hui, Bick, Ulrich, Newstead, Gillian M.

“…Automated image analysis aims to extract relevant information from contrast‐enhanced magnetic resonance images (CE‐MRI) of the breast and improve the accuracy…”
Get full text

PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images by Armato, 3rd, Samuel G, Huisman, Henkjan, Drukker, Karen, Hadjiiski, Lubomir, Kirby, Justin S, Petrick, Nicholas, Redmond, George, Giger, Maryellen L, Cha, Kenny, Mamonov, Artem, Kalpathy-Cramer, Jayashree, Farahani, Keyvan

“…Grand challenges stimulate advances within the medical imaging research community; within a competitive yet friendly environment, they allow for a direct…”
Get full text

Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set by Li, Hui, Zhu, Yitan, Burnside, Elizabeth S, Huang, Erich, Drukker, Karen, Hoadley, Katherine A, Fan, Cheng, Conzen, Suzanne D, Zuley, Margarita, Net, Jose M, Sutton, Elizabeth, Whitman, Gary J, Morris, Elizabeth, Perou, Charles M, Ji, Yuan, Giger, Maryellen L

“…Using quantitative radiomics, we demonstrate that computer-extracted magnetic resonance (MR) image-based tumor phenotypes can be predictive of the molecular…”
Get full text

Independent validation of machine learning in diagnosing breast Cancer on magnetic resonance imaging within a single institution by Ji, Yu, Li, Hui, Edwards, Alexandra V, Papaioannou, John, Ma, Wenjuan, Liu, Peifang, Giger, Maryellen L

“…As artificial intelligence methods for the diagnosis of disease advance, we aimed to evaluate machine learning in the predictive task of distinguishing between…”
Get full text

Most-enhancing tumor volume by MRI radiomics predicts recurrence-free survival "early on" in neoadjuvant treatment of breast cancer by Drukker, Karen, Li, Hui, Antropova, Natalia, Edwards, Alexandra, Papaioannou, John, Giger, Maryellen L

“…The hypothesis of this study was that MRI-based radiomics has the ability to predict recurrence-free survival "early on" in breast cancer neoadjuvant…”
Get full text

Evaluation of emphysema on thoracic low-dose CTs through attention-based multiple instance deep learning by Fuhrman, Jordan, Yip, Rowena, Zhu, Yeqing, Jirapatnakul, Artit C., Li, Feng, Henschke, Claudia I., Yankelevitz, David F., Giger, Maryellen L.

“…In addition to lung cancer, other thoracic abnormalities, such as emphysema, can be visualized within low-dose CT scans that were initially obtained in cancer…”
Get full text