جستجوی استاد راهنمای دانشگاهی

Yading Yuan, PhD is an Associate Professor of Radiation Oncology (Physics) at Columbia University Irving Medical Center and a member of the Data Science Institute. He holds a PhD in medical physics from the University of Chicago (2010) and completed clinical residency at Harvard Medical Physics Program (2013). His research focuses on AI-driven innovations in radiation oncology, including automated medical image analysis systems, federated learning frameworks for tumor segmentation, and data-driven approaches to personalized cancer treatment. He is certified by the American Board of Radiology and licensed in New York State. Education: PhD in Medical Physics (University of Chicago, 2010); Clinical Residency (Harvard Medical Physics Program, 2013). Research interests include: automated knowledge-based treatment planning, large-scale clinical AI systems, medical image reconstruction algorithms, and panomics integration for precision oncology. His work emphasizes translating data science advancements into clinical practice to improve patient outcomes. Key trends in his publications include federated learning for privacy-preserving medical AI, tumor segmentation in multi-modal imaging (PET/CT, MRI), and AI-driven prediction of treatment outcomes and recurrence risks. Recent work emphasizes decentralized learning architectures and cross-institutional collaboration systems. Scientific Awards: Distinguished Reviewers 2013 (selected by peer review committees) Advising/grants: No specific student names or grant details listed in provided text. His work is supported through institutional and collaborative research initiatives. Labs/teams: Active member of Columbia's Data Science Institute and Radiation Oncology department, contributing to interdisciplinary medical AI research groups.

• Artificial Intelligence in Radiation Oncology
• Medical Imaging Analysis
• Data Science Applications in Healthcare
• +۳ مورد دیگر

Dr. Cheng Ouyang is a Departmental Lecturer at the University of Oxford's Institute of Biomedical Engineering, part of the Department of Engineering Science. Affiliated with St. Peter's College, his research focuses on developing data-efficient, robust machine learning approaches for medical imaging and signal analysis. Key interests include domain generalization, few-/zero-shot learning, uncertainty modeling, and multimodal learning applied to medical data such as ultrasound and MRI. Prior to Oxford, he conducted postdoctoral research in cardiac imaging at Imperial College London, where he also earned his PhD in Computing. His work emphasizes practical medical applications, such as accelerating MRI reconstruction and enhancing ECG classification through multimodal techniques. Recent contributions include the CMRxRecon2024 dataset for cardiac MRI and federated learning approaches for low-dose CT denoising. His methods address challenges in generalizability, stability, and user interaction in clinical AI systems. Awards and recognitions are pending explicit mentions in the text. Dr. Ouyang's research spans foundational machine learning theory and applied biomedical engineering, with a focus on bridging gaps between algorithmic innovation and clinical utility. His lab collaborates across disciplines to advance medical imaging analysis and decision support systems.

• Machine Learning
• Medical Imaging
• Biomedical Engineering
• +۳ مورد دیگر

Benedikt Günther is a research scientist at the Technical University of Munich (TUM) working within the Chair of Biomedical Physics led by Prof. Dr. Franz Pfeiffer. His research focuses on the Munich Compact Light Source (MuCLS), a laboratory-scale inverse Compton X-ray source that provides synchrotron-like radiation for biomedical applications. Günther plays a key role in developing, optimizing, and characterizing this innovative technology, contributing to both its fundamental physics and practical medical applications. His primary research interests center around X-ray physics and imaging techniques, particularly laser enhancement cavities for inverse Compton X-ray sources, X-ray microscopy, dynamic phase-contrast imaging, and X-ray spectroscopy. Günther's work bridges fundamental physics with practical medical applications, developing instrumentation that brings synchrotron-quality imaging to conventional laboratory settings. His research has significant implications for improving medical diagnostics while making advanced imaging techniques more accessible. Analysis of Günther's publication record reveals a consistent focus on advancing compact X-ray source technology and its applications. His work demonstrates expertise in both theoretical modeling and experimental implementation, with publications spanning instrument development, imaging techniques, and specific medical applications. The research shows progression from fundamental source characterization to increasingly sophisticated biomedical applications, particularly in breast imaging, dental diagnostics, and materials science. 2019 Best Poster Award at the combined meeting of the 68th Denver X-ray Conference (DXC) & 25th International Congress on X-ray Optics and Microanalysis (ICXOM) for 'Full-Field Structured Illumination Super-Resolution X-ray Transmission Microscopy' Günther regularly presents his work at major international conferences including the International Particle Accelerator Conference, High-Brightness Sources and Light-driven Interactions Congress, and specialized X-ray imaging meetings. His research is conducted within the Munich Compact Light Source facility, a collaborative project involving physicists, engineers, and medical researchers working to develop laboratory-scale synchrotron technology for widespread biomedical use.

• X-ray Physics
• Synchrotron Radiation
• Medical Imaging
• +۵ مورد دیگر

Dr Emily Hewson is a Cancer Institute NSW Early Career Fellow and member of the Sydney School of Health Sciences at the University of Sydney's Faculty of Medicine and Health. Her research focuses on advancing real-time radiation therapy techniques, particularly in managing intrafraction motion for prostate and other cancers. She leads projects involving multileaf collimator (MLC) tracking, dose optimization, and deep learning integration in radiation oncology. Research interests include adaptive radiotherapy systems, kilovoltage intrafraction monitoring (KIM), and clinical trial implementation (e.g., TROG 15.01 SPARK trial). Her work emphasizes improving treatment accuracy through real-time dose-guided approaches and multitarget tracking for tumors with complex motion patterns. Developed experimental validations for MRI-linac integration and MLC tracking systems Authored a textbook chapter on Adaptive Radiation Therapy (ART) Recipient of Cancer Institute NSW Early Career Fellowship (2023) Recent grants include an AI platform for targeted radiotherapy (2024) and national critical infrastructure funding for lung cancer applications (2023). Her lab collaborates on real-time dose calculation algorithms and clinical trial implementation across multiple institutions.

• Radiation Oncology
• Medical Physics
• Cancer Treatment
• +۳ مورد دیگر

Paul Wilson serves as the Grainger Professor of Nuclear Engineering and Chair of the Department of Nuclear Engineering & Engineering Physics at the University of Wisconsin-Madison. His research develops computational tools for modeling nuclear energy systems with applications in radiation shielding, waste management, non-proliferation, and energy policy. Education: PhD in Nuclear Engineering, University of Wisconsin-Madison (1999) Dr.-Ing in Mechanical Engineering, Technical University of Karlsruhe (1998) MS in Nuclear Engineering, University of Wisconsin-Madison (1995) B.A.Sc. in Engineering Science (Nuclear Power option), University of Toronto (1992) Wilson's research spans computational nuclear engineering with emphasis on Monte Carlo methods, nuclear fuel cycles, and proliferation analysis. His Computational Nuclear Engineering Research Group (CNERG) develops simulation tools for radiation transport, waste transmutation, and fusion systems. Key projects include the Infinity Two fusion pilot plant design and Cyclus nuclear fuel cycle simulator. Recent publications reveal strong focus on fusion energy systems (particularly stellarator-based designs like Infinity Two), machine learning applications in nuclear security, and advanced neutronics modeling. His work bridges computational methods with real-world nuclear challenges including waste management and non-proliferation. Scientific awards: Fellow of the American Nuclear Society (2023) American Nuclear Society Young Member Advancement Award (2019) American Nuclear Society Arthur Holly Compton Award (2018) Grainger Professor of Nuclear Engineering (2016) American Nuclear Society Presidential Citation (1996) Wilson advises graduate students through thesis research courses (N E 790/890/990) and has secured significant funding from the U.S. Department of Energy. His consultancy roles include work with CEA Saclay, Karlsruhe Institute of Technology, and the Blue Ribbon Commission on America’s Nuclear Energy Future. He previously served on the Generation IV Technology Roadmap Committee (2001-2003). He leads the Computational Nuclear Engineering Research Group (CNERG), which develops open-source tools including PyNE and Cyclus. The group's work spans fusion pilot plant design, nuclear security applications, and fuel cycle simulation for next-generation nuclear systems.

• Computational Nuclear Engineering
• Nuclear Energy Systems
• Radiation Shielding
• +۹ مورد دیگر

Huixiao Chen is an Assistant Professor and Clinical Medical Physicist II in the Department of Therapeutic Radiology at Yale School of Medicine. She holds a primary appointment in Therapeutic Radiology and is actively engaged in clinical and research activities related to radiation oncology physics. Assistant Professor, Department of Therapeutic Radiology, Yale School of Medicine Clinical Medical Physicist II, Therapeutic Radiology Education: Resident, Yale University (2016) Postdoctoral Fellow, Harvard University (2013) Postdoctoral Fellow, Virginia Commonwealth University (2011) PhD, University of Heidelberg, Germany (2010) MS, Zhejiang University, China (1998) BS, Zhejiang University, China (1995) Huixiao Chen's research centers on medical physics in radiation oncology, with a focus on treatment planning optimization, dosimetry, and image-guided radiotherapy. Her work includes the development and evaluation of advanced radiotherapy techniques such as VMAT and SBRT, with applications in spine, lung, and prostate cancers. She has contributed to improving the accuracy of dose calculations using Monte Carlo methods and has explored the impact of patient motion on treatment delivery. Her research also extends to the design of clinical devices to support safe and effective radiotherapy for diverse patient populations. Her recent publications demonstrate a consistent focus on enhancing the precision and efficiency of radiotherapy. Key themes include multicriteria optimization in treatment planning, dosimetric validation of radiochromic films, and the development of supportive devices for image-guided radiotherapy. These works reflect a strong commitment to advancing clinical medical physics through both computational and engineering innovations. Scientific Contributions: Characterization of GafchromicTM EBT4 film for clinical dosimetry Design of a small-footprint couch-top support for heavy patients in IGRT Application of multicriteria optimization in VMAT planning for spine and prostate cancers Comparison of Monte Carlo vs. pencil beam algorithms in lung SBRT Analysis of diaphragm motion effects on spine SBRT Huixiao Chen has collaborated with researchers such as Emily Draeger and Zhe Jay Chen on various projects. While no formal students or grants are listed, her role as a clinical medical physicist and faculty member suggests active mentorship and potential involvement in funded research. She is a key contributor to the medical physics team at Yale, ensuring high standards in treatment planning and delivery.

• Medical Physics
• Radiation Oncology
• Therapeutic Radiology
• +۷ مورد دیگر

Prof. Julia Herzen holds the Associate Professorship of Physics in Biomedical Imaging at the Department of Physics , TUM School of Natural Sciences , Technical University of Munich . Her research focuses on advancing X-ray imaging techniques using synchrotron radiation and laboratory sources, with applications in medical diagnostics and tissue analysis. Position: Associate Professor Department: Physics School: TUM School of Natural Sciences University: Technical University of Munich Contact: julia.herzen@tum.de Her core research interests include: Quantitative multi-modal X-ray imaging (spectral & phase-contrast) 3D virtual histology of human tissue Breast cancer detection improvement Lung disease imaging (emphysema, pneumonia) X-ray phase-contrast tomography Dark-field imaging material decomposition Recent publications demonstrate expertise in dark-field imaging for lung pathology , phase-contrast CT for organoid visualization , and spectral X-ray applications in multi-material differentiation . Her team explores clinical translation of X-ray techniques for non-invasive diagnostics . She supervises PhD students and teaches Biomedical Engineering courses, including: Quantitative X-Ray Imaging (3 VI) Image Processing in Physics (2 VO) Biostatistics (2 VO) Advanced Lab Courses in X-ray Micro-CT

• Biomedical Imaging
• X-ray Computed Tomography
• Phase-Contrast Imaging
• +۶ مورد دیگر

Xiaofeng Liu is an Assistant Professor at Yale University School of Medicine in the Departments of Radiology & Biomedical Imaging and Biomedical Informatics & Data Science. He is also an Associate Member at the Broad Institute of MIT and Harvard. Previously, he held faculty positions at Harvard Medical School and research roles at Massachusetts General Hospital and Beth Israel Deaconess Medical Center. PhD in Mechatronics from University of Chinese Academy of Sciences Dual Bachelor's degrees in Automation (Wang-Daheng Elite Class) and Communication from University of Science and Technology of China His research integrates trustworthy AI, medical imaging, and data science to improve diagnosis, prognosis, and treatment monitoring for neurological disorders, cancer, and cardiovascular diseases. Key focus areas include domain adaptation techniques, diffusion models, and interpretable AI systems. Led special issues in IEEE Transactions on Pattern Analysis and Medical Image Analysis Developed novel frameworks like Ordinal UDA and Memory-Consistent Adaptation Scientific accolades include the Trailblazer R21 Award (NIBIB), OpenAI Research Award, and National Artificial Intelligence Research Resource Pilot Award. He serves as Associate Editor for IEEE Transactions on Neural Networks and Learning Systems and actively contributes to MICCAI and NIH review panels. His lab at Yale (XLiu Lab) investigates neural basis of intelligence to inspire AI development, with applications in brain tumor segmentation, cardiac imaging, and cross-modal medical diagnostics.

• Artificial Intelligence
• Deep Learning
• Medical Imaging
• +۵ مورد دیگر

Adriaan Buijs is a Professor in the Engineering Physics Department at McMaster University in Hamilton, Canada. He previously held roles at Atomic Energy of Canada Limited (AECL) from 2001 to 2008, including Senior Scientist and Section Head for neutronic overpower protection in CANDU reactors. Education: Master’s and PhD in Experimental Physics from Utrecht University , with research at Stanford Linear Accelerator Center . Academic History: Fellow and Staff Member at CERN (1986–1994), then Full Professor at Utrecht University (1994–2001). Research Interests : Nuclear Engineering : Specializing in Small Modular Reactors (SMRs) and Canadian Supercritical Water-Cooled Reactors (SCWR) . Reactor Physics : Focused on neutron transport calculations , gamma heating estimation , and safety analysis for reactor systems. Particle Physics : Past contributions include studies on photon-photon collisions , charmonium states , and supersymmetric particles at CERN and LEP. Publications include work on nuclear reactor simulations , fuel cycle assessments , and Monte Carlo methods for reactor kinetics. He has served as Associate Chair and Acting Chair in his department.

• Nuclear Engineering
• Reactor Physics
• Particle Physics
• +۴ مورد دیگر

Brian Kavanagh, MD, MPH is a Professor and Department Chair of Radiation Oncology at the University of Colorado Anschutz Medical Campus School of Medicine. He serves as Department Chair and maintains clinical practice at multiple UCHealth locations including the University of Colorado Cancer Center, Cherry Creek Medical Center, Longs Peak Medical Center, and the Rocky Mountain Gamma Knife Center. His leadership extends to serving as Chair of the American Society for Radiation Oncology since 2017. MD, Tulane University School of Medicine (1988) MPH, Tulane University (1988) BSE, Tulane University (LA) (1984) Internship: Tulane University Program (1989) Residency: Duke University Hospital Program, Radiation Oncology (1993) Dr. Kavanagh's research primarily focuses on stereotactic body radiation therapy (SBRT), functional lung avoidance radiation therapy using 4DCT-ventilation imaging, and treatment of brain metastases from oncogene-driven lung cancers. His work bridges clinical practice, medical physics innovation, and outcomes research, with particular emphasis on optimizing radiation therapy techniques while minimizing toxicity. Recent publications demonstrate his leadership in developing novel approaches to image-guided radiation therapy, including antiscatter grid technology for CBCT imaging and functional avoidance techniques for lung cancer treatment. Analysis of Dr. Kavanagh's recent publications (2019-2024) reveals a strong focus on precision radiation therapy for lung cancer and brain metastases. His research spans technical innovations in medical physics (such as 2D antiscatter grid development), clinical trials evaluating functional avoidance radiation therapy, and studies examining outcomes for patients with oncogene-driven cancers. A significant portion of his work addresses the integration of radiation therapy with targeted therapies for lung cancer with brain metastases, reflecting the evolving treatment paradigms in this field. Top Doctor, 5280 Magazine (2023) Dr. Kavanagh has been instrumental in developing national radiation oncology curriculum frameworks through stakeholder consensus processes. His leadership in the American Society for Radiation Oncology has positioned him to influence practice guidelines and educational standards in the field. His research has been supported through multi-institutional clinical trials and collaborations with major cancer centers across the United States. Dr. Kavanagh leads research efforts in the Rocky Mountain Gamma Knife Center and contributes to the University of Colorado Cancer Center's radiation oncology program. His work with 4DCT-ventilation imaging has established a clinical research program focused on functional avoidance radiation therapy, which aims to preserve lung function while effectively treating tumors.

• Radiation Oncology
• Stereotactic Body Radiation Therapy
• Functional Lung Avoidance Radiation Therapy
• +۷ مورد دیگر

Hunor Kertész is a Research Fellow at the University of Sydney's Image X Institute, affiliated with the Discipline of Medical Imaging Sciences in the School of Health Sciences. His research focuses on advancing medical imaging technologies, particularly in PET (Positron Emission Tomography) and CT (Computed Tomography) systems, with an emphasis on improving image quality, reducing radiation exposure, and developing novel imaging tools. His work spans several key areas: optimizing positron range correction in PET/CT for cardiac and oncology applications, exploring low-dose imaging techniques for pediatric patients, and creating open-source software tools like Dvgardener for medical image processing. He has contributed to the development of anthropomorphic phantoms for clinical simulations and portable CT systems for lung cancer screening. Recent publications highlight advancements in PET/MRI dose reduction for epilepsy patients, high-resolution total-body PET/CT through positron range correction, and the validation of Rubidium-82 myocardial imaging methods. His research often intersects with radiation dosimetry, image reconstruction algorithms, and 3D-printed anatomical models for quality assurance. While not explicitly mentioned, his contributions likely involve collaborations with clinical teams to translate imaging innovations into practical diagnostic solutions.

• Medical Imaging
• Nuclear Medicine
• Radiation Dosimetry
• +۳ مورد دیگر

Dr. Kibret Mequanint is a full Professor at Western University's Department of Chemical and Biochemical Engineering, with cross-appointments in Biomedical Engineering. Holding a PhD from University of Stellenbosch and postdoctoral experience at Technical University of Darmstadt and McMaster University, his research bridges polymer science, materials engineering, and life sciences with applications in Biomaterials , Tissue Engineering , and Regenerative Medicine . His work spans both fundamental and translational research in cell-material interactions , polymer biomaterial design , and therapeutic radiation dosimeters , with technologies transferred to commercial applications. Leading scholar and educator with awards from NSERC, CIHR, and Western University Fellow of: American Institute for Medical and Biological Engineering (AIMBE), Ethiopian Academy of Sciences, International Union of Societies for Biomaterials Science and Engineering, Canadian Academy of Engineering Extensive editorial and panel service for NSERC, CIHR, and international journals His research program has produced over 170 refereed publications, focusing on conductive hydrogels , bioadhesives , and vascular tissue engineering . Recent work on endoscopy-deliverable bioadhesives and snake venom-derived hemostatic gels has attracted global media attention. He has served in leadership roles at the Canadian Biomaterials Society and university governance bodies including Senate and Board of Governors.

• Biomaterials
• Tissue Engineering
• Regenerative Medicine
• +۶ مورد دیگر

Amir Bahadori serves as Professor and Nuclear Engineering Program Director in the Department of Mechanical and Nuclear Engineering at Kansas State University's Carl R. Ice College of Engineering, holding the Hal and Mary Siegele Professorship in Engineering. He directs the Radiological Engineering Analysis Laboratory (REAL) and established the Institute for Radiation Health Studies (IRHS) in 2024, focusing on radiation protection, space radiation environments, and radiation health effects. His educational background includes: Ph.D. in Biomedical Engineering, University of Florida (2012) M.S. in Nuclear Engineering Sciences, University of Florida (2010) B.S. in Mechanical Engineering and Mathematics, Kansas State University (2008) Bahadori's research spans radiation transport modeling, dosimetry, and risk assessment with applications in space exploration, medical physics, and radiation epidemiology. He develops computational frameworks for radiation exposure scenarios and biological response prediction, emphasizing space radiation protection for Artemis missions and chronic exposure studies through the Million Person Study collaboration. Analysis of his recent publications reveals dominant themes in space radiation measurement (Artemis missions), radiation epidemiology (Million Person Study innovations), and advanced detection systems (miniaturized neutron spectrometers). His work increasingly integrates big data approaches for radiation risk assessment and electrostatic shielding concepts for deep-space exploration. His scientific recognition includes: NASA Graduate Student Research Fellowship (2009) Certified Health Physicist designation Big 12 faculty fellowship (2022-2023) NCRP council election (2024) Two USPTO patents Bahadori secures substantial research funding from NASA for space radiation instrumentation, Department of Energy projects via the Kansas City National Security Campus, and collaborative epidemiological studies. He mentors nuclear engineering graduate students while leading interdisciplinary teams developing radiation protection solutions for aerospace and medical applications. His laboratory infrastructure includes the REAL with Beocat high-performance computing resources, radiation detectors, and a 3D printer, plus the IRHS with a Precision X-ray XRad320 irradiator and radon chamber. These facilities support collaborations across K-State colleges and external organizations for radiation health effect studies.

• Radiation Protection
• Radiation Transport
• Radiation Dosimetry
• +۵ مورد دیگر

Leah Schubert, PhD is an Associate Professor in the Department of Radiation Oncology at the University of Colorado Anschutz Medical Campus School of Medicine. She serves as Director of the Medical Physics Residency Program, leading educational initiatives in medical physics training. Her professional focus centers on improving safety, quality, and educational standards in radiation oncology physics. Dr. Schubert earned her PhD from the University of Wisconsin - Madison in 2009 and completed her undergraduate studies with a BS from the University of California–San Diego in 2003. She is board certified in Therapeutic Medical Physics by the American Board of Radiology (2012). Her research spans medical physics education, radiation safety, quality assurance, and functional imaging applications in radiation therapy. She has pioneered work in physics plan review training, safety checklist implementation, and 4DCT-ventilation imaging for functional avoidance radiation therapy. Her educational research focuses on concept inventories, virtual interviewing for residency matches, and cross-institutional residency training frameworks. Analysis of her recent publications reveals a consistent focus on improving safety culture in radiation oncology through systematic approaches including failure modes and effects analysis, simulated error training, and safety checklist development. Her work increasingly incorporates cross-institutional collaboration and educational innovation in medical physics training. ABR Volunteer Services Award, American Board of Radiology (2023) Board Member at Large, Society of Directors of Academic Medical Physics Programs (2022) AAPM Fellow, American Association of Physicists in Medicine (2022) Excellent Patient Safety Role Model, University of Colorado Hospital (2021) ABR Volunteer Services Award, American Board of Radiology (2020) IAEA Competition Towards a Strong Safety Culture in Radiation Medicine, International Atomic Energy Agency (2019) As Director of the Medical Physics Residency Program, Dr. Schubert oversees comprehensive training for future medical physicists, implementing innovative approaches to curriculum development and assessment. Her leadership extends to national committees including the AAPM Work Group on Periodic Review of Medical Physics Residency Training and various SDAMPP committees. She has secured funding for educational initiatives focused on improving residency training standards and safety culture development. Dr. Schubert collaborates extensively with multi-institutional research teams, particularly in the area of 4DCT-ventilation imaging and its clinical applications for functional avoidance radiation therapy. Her work bridges clinical practice, safety initiatives, and educational innovation in medical physics.

• Medical Physics Education
• Radiation Oncology Safety
• Quality Assurance
• +۶ مورد دیگر

Haoming Qiu, M.D. serves as an Associate Professor in the Department of Radiation Oncology at the University of Rochester School of Medicine and Dentistry. He practices clinically at both Wilmot Cancer Center in Rochester and Sands Cancer Center in Canandaigua, providing radiation oncology services for gastrointestinal, lung, and prostate cancers. Board-certified by the American Board of Radiology, Dr. Qiu specializes in advanced radiotherapy techniques including external beam radiation and radiopharmaceutical therapies. Education: MD, Johns Hopkins University (2011) Residency in Radiation Oncology, University of Rochester Medical Center (2013-2016) Residency in Radiation Oncology, Loyola University Medical Center (2012-2013) Internship in Internal Medicine, Sinai Hospital of Baltimore (2011-2012) Research Focus: Dr. Qiu's work centers on optimizing radiation therapy for gastrointestinal malignancies, prostate cancer, and neuroendocrine tumors. His investigations into theranostics explore novel applications of Lutathera for neuroendocrine tumors, Pluvicto for prostate cancer, and Therasphere for liver cancers. Current research emphasizes combining stereotactic body radiotherapy with immunotherapeutic agents to overcome treatment resistance in pancreatic and rectal cancers. Publication Trends: Recent publications (2023-2025) reveal a strategic shift toward adaptive radiotherapy techniques for pelvic malignancies and immunoradiotherapy combinations. His work demonstrates growing emphasis on modulating tumor immune microenvironments through radiation, particularly in pancreatic and rectal cancers. The integration of mRNA nanotechnology with SBRT represents a cutting-edge frontier in his research portfolio. Scientific Recognition: Roentgen Resident/Fellow Research Award (2015) Excellence in Medical Student Research (2011) Clinical Leadership: Dr. Qiu directs multiple clinical trials at the University of Rochester focusing on radiopharmaceutical applications and adaptive radiotherapy protocols. His patient-centered approach is reflected in consistently high patient satisfaction scores (4.9/5 stars) across communication, empathy, and treatment explanation metrics. Care Coordination: As part of the Wilmot Cancer Center and Sands Cancer Center teams, Dr. Qiu collaborates with multidisciplinary groups including medical oncologists, surgeons, and radiologists to deliver integrated cancer care through Accountable Health Partners network.

• Radiation Oncology
• Gastrointestinal Cancers
• Lung Cancer
• +۵ مورد دیگر