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Medicine

D-Index
108
Citations
43143
World Ranking
6000
National Ranking
3208

Overview

Bradford J. Wood is affiliated with the National Institutes of Health in the United States. Their research contributions span the field of Medicine, with a particular focus on subfields such as Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Computer Vision and Pattern Recognition, and Oncology.

Their recent academic publications reflect an emphasis on diagnostic and treatment methodologies, especially in the context of prostate cancer and COVID-19. Significant recent papers include:

  • "MRI-Targeted, Systematic, and Combined Biopsy for Prostate Cancer Diagnosis" (2020) published in New England Journal of Medicine
  • "Federated learning for predicting clinical outcomes in patients with COVID-19" (2021) published in Nature Medicine
  • "Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets" (2020) published in Nature Communications
  • "Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation" (2020) published in IEEE Transactions on Medical Imaging
  • "Single-cell atlas of tumor cell evolution in response to therapy in hepatocellular carcinoma and intrahepatic cholangiocarcinoma" (2021) published in Journal of Hepatology

The key areas of research topics associated with Bradford J. Wood include:

  • Prostate Cancer Diagnosis and Treatment
  • Prostate Cancer Treatment and Research
  • Radiomics and Machine Learning in Medical Imaging
  • Hepatocellular Carcinoma Treatment and Prognosis
  • Urologic and reproductive health conditions
  • MRI in cancer diagnosis
  • Advanced X-ray and CT Imaging

Bradford J. Wood has frequently collaborated with several researchers, among whom the most common co-authors are:

  • Barış Türkbey
  • Peter A. Pinto
  • Peter L. Choyke
  • Maria J. Merino
  • Stephanie A. Harmon

Their work has been published extensively in several scientific journals. The primary publication venues where Bradford J. Wood has contributed the most are:

  • The Journal of Urology
  • Journal of Vascular and Interventional Radiology
  • Journal of Clinical Oncology
  • Academic Radiology
  • CardioVascular and Interventional Radiology

This profile reflects Bradford J. Wood's multidisciplinary focus that integrates clinical medicine with advanced imaging techniques and computational methods, particularly addressing challenges in cancer diagnosis, treatment, and the analysis of respiratory diseases such as COVID-19.

Best Publications

  • Comparison of MR/Ultrasound Fusion–Guided Biopsy With Ultrasound-Guided Biopsy for the Diagnosis of Prostate Cancer

    M. Minhaj Siddiqui;M. Minhaj Siddiqui;Soroush Rais-Bahrami;Soroush Rais-Bahrami;Baris Turkbey;Arvin K. George

  • Image-guided Tumor Ablation: Standardization of Terminology and Reporting Criteria—A 10-Year Update

    Muneeb Ahmed;Luigi Solbiati;Christopher L. Brace;David J. Breen

  • Tremelimumab in combination with ablation in patients with advanced hepatocellular carcinoma.

    Austin G. Duffy;Susanna V. Ulahannan;Oxana Makorova-Rusher;Osama Rahma

  • MRI-Targeted, Systematic, and Combined Biopsy for Prostate Cancer Diagnosis

    Michael Ahdoot;Andrew R Wilbur;Sarah E Reese;Amir H Lebastchi

  • Federated learning for predicting clinical outcomes in patients with COVID-19.

    Ittai Dayan;Holger R. Roth;Aoxiao Zhong;Ahmed Harouni

  • Magnetic Resonance Imaging/Ultrasound Fusion Guided Prostate Biopsy Improves Cancer Detection Following Transrectal Ultrasound Biopsy and Correlates With Multiparametric Magnetic Resonance Imaging

    Peter A. Pinto;Paul H. Chung;Ardeshir R. Rastinehad;Angelo A. Baccala

  • Tumor Cell Biodiversity Drives Microenvironmental Reprogramming in Liver Cancer

    Lichun Ma;Maria O. Hernandez;Yongmei Zhao;Monika Mehta

  • Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets.

    Stephanie A. Harmon;Thomas H. Sanford;Sheng Xu;Evrim B. Turkbey

  • Magnetic Resonance Imaging/Ultrasound-Fusion Biopsy Significantly Upgrades Prostate Cancer Versus Systematic 12-core Transrectal Ultrasound Biopsy

    M. Minhaj Siddiqui;Soroush Rais-Bahrami;Hong Truong;Lambros Stamatakis

  • Pulsed-high intensity focused ultrasound and low temperature-sensitive liposomes for enhanced targeted drug delivery and antitumor effect.

    Sergio Dromi;Victor Frenkel;Alfred Luk;Bryan Traughber

  • Image-guided tumor ablation: proposal for standardization of terms and reporting criteria

    S. Nahum Goldberg;J. William Charboneau;Gerald D. Dodd;Damian E. Dupuy

  • Image-guided tumor ablation: standardization of terminology and reporting criteria.

    S. Nahum Goldberg;Clement J. Grassi;John F. Cardella;J. William Charboneau

  • Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation

    Ling Zhang;Xiaosong Wang;Dong Yang;Thomas Sanford

  • Image-guided tumor ablation: standardization of terminology and reporting criteria--a 10-year update.

    Muneeb Ahmed;Luigi Solbiati;Christopher L. Brace;David J. Breen

  • Is apparent diffusion coefficient associated with clinical risk scores for prostate cancers that are visible on 3-T MR images?

    Baris Turkbey;Vijay P. Shah;Yuxi Pang;Marcelino Bernardo

  • PERCUTANEOUS RADIO FREQUENCY ABLATION OF SMALL RENAL TUMORS: INITIAL RESULTS

    Christian P. Pavlovich;McCLELLAN M. Walther;Peter L. Choyke;Stephen E. Pautler

  • Radio-frequency ablation of renal cell carcinoma: early clinical experience.

    D A Gervais;F J McGovern;B J Wood;S N Goldberg

  • Prostate Cancer: Interobserver Agreement and Accuracy with the Revised Prostate Imaging Reporting and Data System at Multiparametric MR Imaging.

    Berrend G. Muller;Joanna H. Shih;Sandeep Sankineni;Jamie Marko;Jamie Marko

  • Real-time MRI-TRUS fusion for guidance of targeted prostate biopsies.

    Sheng Xu;Jochen Kruecker;Baris Turkbey;Neil Glossop

  • Radiofrequency Thermal Ablation of Abdominal Tumors: Lessons Learned from Complications

    Hyunchul Rhim;Gerald D. Dodd;Kedar N. Chintapalli;Bradford J. Wood

Frequent Co-Authors

Baris Turkbey
Baris Turkbey National Institutes of Health
Peter L. Choyke
Peter L. Choyke National Institutes of Health
Peter A. Pinto
Peter A. Pinto National Institutes of Health
Maria J. Merino
Maria J. Merino National Institutes of Health
Pingkun Yan
Pingkun Yan Rensselaer Polytechnic Institute
W. Marston Linehan
W. Marston Linehan National Institutes of Health
Tim F. Greten
Tim F. Greten National Institutes of Health
David L. Woods
David L. Woods University of California, Davis
David E. Kleiner
David E. Kleiner National Institutes of Health
Seth M. Steinberg
Seth M. Steinberg National Institutes of Health

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