Search Results - "Abramson, Richard"

SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth by Huo, Yuankai, Xu, Zhoubing, Moon, Hyeonsoo, Bao, Shunxing, Assad, Albert, Moyo, Tamara K., Savona, Michael R., Abramson, Richard G., Landman, Bennett A.

“…A key limitation of deep convolutional neural network (DCNN)-based image segmentation methods is the lack of generalizability. Manually traced training images…”
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On Quality Metrics and Quantitative Imaging by Abramson, Richard G

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Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT by Xu, Zhoubing, Lee, Christopher P., Heinrich, Mattias P., Modat, Marc, Rueckert, Daniel, Ourselin, Sebastien, Abramson, Richard G., Landman, Bennett A.

“…Objective: This work evaluates current 3-D image registration tools on clinically acquired abdominal computed tomography (CT) scans. Methods: Thirteen…”
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Quantitative multimodality imaging in cancer research and therapy by Yankeelov, Thomas E., Abramson, Richard G., Quarles, C. Chad

“…Recent advances in multimodality imaging in cancer have involved the integration of multiple quantitative, functional measurements that provide a…”
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Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks by Huo, Yuankai, Xu, Zhoubing, Bao, Shunxing, Bermudez, Camilo, Moon, Hyeonsoo, Parvathaneni, Prasanna, Moyo, Tamara K., Savona, Michael R., Assad, Albert, Abramson, Richard G., Landman, Bennett A.

“…The findings of splenomegaly, abnormal enlargement of the spleen, is a non-invasive clinical biomarker for liver and spleen diseases. Automated segmentation…”
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Creating Value through Incremental Innovation: Managing Culture, Structure, and Process by Rubin, Geoffrey D, Abramson, Richard G

“…While the looming threat of large-scale disruptive innovation consumes disproportionate attention, incremental innovation remains an important tool for…”
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TBCRC 032 IB/II Multicenter Study: Molecular Insights to AR Antagonist and PI3K Inhibitor Efficacy in Patients with AR + Metastatic Triple-Negative Breast Cancer by Lehmann, Brian D, Abramson, Vandana G, Sanders, Melinda E, Mayer, Erica L, Haddad, Tufia C, Nanda, Rita, Van Poznak, Catherine, Storniolo, Anna Maria, Nangia, Julie R, Gonzalez-Ericsson, Paula I, Sanchez, Violeta, Johnson, Kimberly N, Abramson, Richard G, Chen, Sheau-Chiann, Shyr, Yu, Arteaga, Carlos L, Wolff, Antonio C, Pietenpol, Jennifer A

“…Preclinical data demonstrating androgen receptor (AR)-positive (AR ) triple-negative breast cancer (TNBC) cells are sensitive to AR antagonists, and PI3K…”
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High-resolution 3D abdominal segmentation with random patch network fusion by Tang, Yucheng, Gao, Riqiang, Lee, Ho Hin, Han, Shizhong, Chen, Yunqiang, Gao, Dashan, Nath, Vishwesh, Bermudez, Camilo, Savona, Michael R., Abramson, Richard G., Bao, Shunxing, Lyu, Ilwoo, Huo, Yuankai, Landman, Bennett A.

“…•Patch-based method plus random shifting could boost high resolution 3D segmentation performance.•Random patch enables prediction of original space…”
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Multiparametric Magnetic Resonance Imaging for Predicting Pathological Response After the First Cycle of Neoadjuvant Chemotherapy in Breast Cancer by Li, Xia, Abramson, Richard G, Arlinghaus, Lori R, Kang, Hakmook, Chakravarthy, Anuradha Bapsi, Abramson, Vandana G, Farley, Jaime, Mayer, Ingrid A, Kelley, Mark C, Meszoely, Ingrid M, Means-Powell, Julie, Grau, Ana M, Sanders, Melinda, Yankeelov, Thomas E

“…OBJECTIVESThe purpose of this study was to determine whether multiparametric magnetic resonance imaging (MRI) using dynamic contrast-enhanced MRI (DCE-MRI) and…”
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UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation by Yu, Xin, Yang, Qi, Zhou, Yinchi, Cai, Leon Y, Gao, Riqiang, Lee, Ho Hin, Li, Thomas, Bao, Shunxing, Xu, Zhoubing, Lasko, Thomas A, Abramson, Richard G, Zhang, Zizhao, Huo, Yuankai, Landman, Bennett A, Tang, Yucheng

“…Transformer-based models, capable of learning better global dependencies, have recently demonstrated exceptional representation learning capabilities in…”
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Efficient multi-atlas abdominal segmentation on clinically acquired CT with SIMPLE context learning by Xu, Zhoubing, Burke, Ryan P., Lee, Christopher P., Baucom, Rebeccah B., Poulose, Benjamin K., Abramson, Richard G., Landman, Bennett A.

“…Abdominal segmentation on clinically acquired computed tomography (CT) has been a challenging problem given the inter-subject variance of human abdomens and…”
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Repeatability, reproducibility, and accuracy of quantitative mri of the breast in the community radiology setting by Sorace, Anna G., Wu, Chengyue, Barnes, Stephanie L., Jarrett, Angela M., Avery, Sarah, Patt, Debra, Goodgame, Boone, Luci, Jeffery J., Kang, Hakmook, Abramson, Richard G., Yankeelov, Thomas E., Virostko, John

“…Background Quantitative diffusion‐weighted MRI (DW‐MRI) and dynamic contrast‐enhanced MRI (DCE‐MRI) have the potential to impact patient care by providing…”
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Robust Multicontrast MRI Spleen Segmentation for Splenomegaly Using Multi-Atlas Segmentation by Huo, Yuankai, Liu, Jiaqi, Xu, Zhoubing, Harrigan, Robert L., Assad, Albert, Abramson, Richard G., Landman, Bennett A.

“…Objective: Magnetic resonance imaging (MRI) is an essential imaging modality in noninvasive splenomegaly diagnosis. However, it is challenging to achieve…”
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Early assessment of breast cancer response to neoadjuvant chemotherapy by semi-quantitative analysis of high-temporal resolution DCE-MRI: Preliminary results by Abramson, Richard G, Li, Xia, Hoyt, Tamarya Lea, Su, Pei-Fang, Arlinghaus, Lori R, Wilson, Kevin J, Abramson, Vandana G, Chakravarthy, A. Bapsi, Yankeelov, Thomas E

“…Abstract Purpose To evaluate whether semi-quantitative analysis of high temporal resolution dynamic contrast-enhanced MRI (DCE-MRI) acquired early in treatment…”
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DCE-MRI analysis methods for predicting the response of breast cancer to neoadjuvant chemotherapy: Pilot study findings by Li, Xia, Arlinghaus, Lori R., Ayers, Gregory D., Chakravarthy, A. Bapsi, Abramson, Richard G., Abramson, Vandana G., Atuegwu, Nkiruka, Farley, Jaime, Mayer, Ingrid A., Kelley, Mark C., Meszoely, Ingrid M., Means-Powell, Julie, Grau, Ana M., Sanders, Melinda, Bhave, Sandeep R., Yankeelov, Thomas E.

“…Purpose The purpose of this pilot study is to determine (1) if early changes in both semiquantitative and quantitative DCE‐MRI parameters, observed after the…”
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Variability in radiology practice in the United States: a former teleradiologist's perspective by Abramson, Richard G

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Quantitative CT Imaging of Ventral Hernias: Preliminary Validation of an Anatomical Labeling Protocol by Xu, Zhoubing, Asman, Andrew J, Baucom, Rebeccah B, Abramson, Richard G, Poulose, Benjamin K, Landman, Bennett A

“…We described and validated a quantitative anatomical labeling protocol for extracting clinically relevant quantitative parameters for ventral hernias (VH) from…”
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Clinical Utility of Quantitative Imaging by Rosenkrantz, Andrew B., MD, MPA, Mendiratta-Lala, Mishal, MD, Bartholmai, Brian J., MD, Ganeshan, Dhakshinamoorthy, MD, Abramson, Richard G., MD, Burton, Kirsteen R., MBA, MSc, MD, Yu, John-Paul J., MD, PhD, Scalzetti, Ernest M., MD, Yankeelov, Thomas E., PhD, Subramaniam, Rathan M., MD, PhD, MPH, Lenchik, Leon, MD

“…Quantitative imaging (QI) is increasingly applied in modern radiology practice, assisting in the clinical assessment of many patients and providing a source of…”
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Methods and Challenges in Quantitative Imaging Biomarker Development by Abramson, Richard G., MD, Burton, Kirsteen R., MBA, MSc, MD, Yu, John-Paul J., MD, PhD, Scalzetti, Ernest M., MD, Yankeelov, Thomas E., PhD, Rosenkrantz, Andrew B., MD, Mendiratta-Lala, Mishal, MD, Bartholmai, Brian J., MD, Ganeshan, Dhakshinamoorthy, MD, Lenchik, Leon, MD, Subramaniam, Rathan M., MD, PhD, MPH

“…Academic radiology is poised to play an important role in the development and implementation of quantitative imaging (QI) tools. This article, drafted by the…”
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VIDA: a voxel-based dosimetry method for targeted radionuclide therapy using Geant4 by Kost, Susan D, Dewaraja, Yuni K, Abramson, Richard G, Stabin, Michael G

“…We have developed the Voxel-Based Internal Dosimetry Application (VIDA) to provide patient-specific dosimetry in targeted radionuclide therapy performing Monte…”
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