Parisa Shamsesfandabadi | Radiation oncology | Best Researcher Award

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Dr. Parisa Shamsesfandabadi | Radiation oncology | Best Researcher Award

Dr. Parisa Shamsesfandabadi šŸ‡ŗšŸ‡ø is a passionate radiation oncologist with a dynamic academic and clinical background, currently serving as Chief Resident at Allegheny Health Network in Pittsburgh, PA šŸ’¼. She combines a global medical foundation from Iran with extensive U.S. clinical training šŸ‡®šŸ‡·āž”ļøšŸ‡ŗšŸ‡ø. Driven by innovation and compassion, Parisa has earned national recognition with multiple prestigious awards šŸ…. Her dedication extends beyond clinical excellence to impactful research, global health, and mentorship šŸŒšŸ“š. With hands-on experiences at leading institutions like Duke, UNC, and VA Medical Center, her expertise spans brain, breast, liver, and prostate cancer research šŸ§ šŸ’Ŗ. Parisaā€™s unique blend of research, service, and leadership reflects her lifelong commitment to patient care, academic excellence, and transformative cancer therapy šŸŒŸ. In addition to her clinical role, she actively contributes as an editorial assistant, social ambassador, and peer-reviewer to renowned medical journals and organizations šŸ“–šŸ¤. She’s a true rising star in oncology šŸš€.

Profile

Education šŸŽ“

šŸ“ Chief Resident, Radiation Oncology ā€“ Allegheny Health Network, PA (2024ā€“Present) šŸ‘©ā€āš•ļø
šŸ“ Residency, Radiation Oncology ā€“ Allegheny Health Network, PA (2019ā€“2024) šŸ’‰
šŸ“ Internship (PGY-1), Transitional Year ā€“ Southern Hills Hospital, Las Vegas, NV (2019ā€“2020) šŸ„
šŸ“ M.D. ā€“ Kashan University of Medical Sciences, Iran (2007ā€“2014) šŸŽ“šŸ‡®šŸ‡·
šŸ“ High School ā€“ Tehran Farzanegan School, NODET (2000ā€“2007) šŸ§ šŸ«
Parisa’s academic journey reflects brilliance from the start, attending Iranā€™s elite NODET school šŸŒŸ. She pursued medicine at KaUMS, consistently ranking top in medical Olympiads šŸ„‡. Her U.S. medical training includes internship and residency in highly reputed institutions, leading to her current leadership as Chief Resident šŸ§‘ā€āš•ļø. Her academic record is peppered with awards, research, and international training, preparing her for a successful future as a physician-scientist and leader in cancer care šŸ§¬šŸ©ŗ.

Experience šŸ‘Øā€šŸ«

šŸ“ Chief Resident, Radiation Oncology ā€“ AHN (2024ā€“Present)
šŸ“ Research Associate ā€“ VA Medical Center, Durham, NC šŸ§Ŗ
šŸ“ Visiting Scholar ā€“ Duke, UNC, CCC Las Vegas šŸ«
šŸ“ Research Visitor ā€“ RAI Lab, Duke University (Glioma Imaging) šŸ§ 
šŸ“ Research Associate ā€“ KaUMS, Iran (Probiotics Study) šŸ§ƒ
šŸ“ Medical Assistant ā€“ Advanced Pain Management, NV šŸ’Š
šŸ“ Volunteer ā€“ Rural Clinics, Pediatrics & Geriatrics Programs šŸ§’šŸ‘µ
šŸ“ Editorial Assistant ā€“ eContour šŸ“˜
šŸ“ Communications Intern ā€“ RTOG Foundation šŸ’¬
Dr. Parisa brings a rich portfolio of clinical and research experience across top U.S. and international institutions šŸŒ. From clinical research on prostate and brain cancers to hands-on patient care and administrative duties, she is known for her leadership, empathy, and academic dedication šŸ„šŸ§ šŸ“Š.

Awards & Recognitions šŸ…

šŸŽ– 2024 RTOG Communications Intern
šŸ’° 2023 $25K Grant ā€“ MRLinac Sarcoma (Benedum Foundation)
šŸ§³ 2023 Travel Grants ā€“ ARS, ACRO, ACR
šŸ„‡ 2022 Resident Best Abstract ā€“ ABS
šŸŽ– 2022 Editorial/Fellow Roles ā€“ eContour, The Mednet, NRG
šŸŒŸ 2022 RePRT Peer Reviewer ā€“ Red Journal
šŸ† 2022 Travel Award ā€“ eContour Vulvar Cancer Guidelines
šŸ‘©ā€šŸŽ“ Olympiad Champion ā€“ 4x Gold in Iran Medical Olympiads
šŸ§  UNESCO Youth Award ā€“ Earthquake Awareness Project
šŸ… Sharif University Medal ā€“ Math & Graphs Competition
šŸ§Ŗ Ranked 1st in Nationwide Chemistry Lab Exam
šŸ“• Published Short Book ā€“ ā€œWorld of Animalsā€
šŸ“š Parisaā€™s excellence is recognized through national and international grants, editorial roles, peer-review selections, and top medical student honors šŸ…. From early academic brilliance to clinical and research impact, her accolades reflect a rare blend of intellect, service, and innovation šŸŒāœØ.

Research Interests šŸ”¬

šŸ§  Radiogenomics ā€“ Brain Cancer Imaging (Duke, UNC)
šŸ§¬ MR-Linac SBRT ā€“ Liver, Pancreatic, Prostate, and Breast Cancers
šŸ’Ŗ Strength Training Impact ā€“ Radiotherapy in Breast Cancer
šŸ§² Adaptive Radiation Therapy ā€“ CBCT, MRI-based Comparisons
šŸ” Treatment Planning ā€“ Monte Carlo vs Cone Algorithm
šŸ§« Biomarker Evaluation ā€“ Breast Cancer (KaUMS & Leiden University)
šŸ§ƒ Probiotics vs Regular Yogurt in Pediatric Diarrhea
šŸ–„ Editorial & Peer Review Roles ā€“ Red Journal, The Mednet, eContour
Dr. Shamsesfandabadiā€™s research bridges advanced imaging, functional planning, and personalized therapy in oncology šŸ§ . Her projects focus on enhancing precision radiation therapy using radiogenomics, AI-driven adaptive planning, and improving survivorship through integrative approaches šŸ’»šŸ’”. Sheā€™s driven to optimize outcomes in patients with complex cancers like gliomas, HCC, and pancreatic malignancies, while actively contributing to guidelines and clinical trials šŸ§ŖšŸ’„. A rising voice in the next-gen of physician-scientists šŸŒŸ.

PublicationsĀ 
  • -Kirichenko, A., Uemura, T., Hasan, S., Lian, Y., Abel, S., Renz, P.,
    Shamsesfandabadi, P., Carpenter, J., Thai, N., ā€œStereotactic Body Radiotherapy
    (SBRT) for Hepatocellular Carcinoma (HCC) with Single Photon Emission
    Computed Tomography (SPECT) Functional Treatment Planning in Patients with
    Advanced Hepatic Cirrhosis.ā€ Advances in Radiation Oncology (Accepted,
    July 2023).
  • Goss, M., Champ, C., Trombetta, M, Shamsesfandabadi, P., DeMartino, V.,
    Wegner, R., Beriwal, S., Eisen, V. ā€œThe Comparison of Collapsed Cone and
    Monte Carlo Algorithms in Tangential Breast Planning.ā€ Journal of Radiotherapy
    in Practice. (April 2023).
  • Mazurowski, M.A., Clark, K., Czarnek, N. M., Shamsesfandabadi, P., et al.
    ā€œRadiogenomics of lower-grade glioma: algorithmically assessed tumor shape
    is associated with tumor genomic subtypes in a multi-institutional study with
    The Cancer Genome Atlas data.ā€ Journal of Neuro-Oncology. 2017, May;
    133(1): 27-35. Cited in PubMed; PMID: 28470431.
  • Mazurowski, M. A., Clark, K., Czarnek, N. M., Shamsesfandabadi, P., et al.
    (2017, March 21). ā€œRadiogenomic analysis of lower grade glioma: a pilot multiinstitutional study shows an association between quantitative image features
    and tumor genomics.ā€ SPIE, The international society for optics and photonics.
  • – Sharif, A., Kheirkhah, D., Shamsesfandabadi, P., et al. ā€œComparison of Regular
    and Probiotic Yogurts in Treatment of Acute Watery Diarrhea in Children.ā€
    Journal of Probiotics and Health. 2016, Feb; 5(1): 164.

Manijeh Beigi | Medical Physics | Best Researcher Award

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Dr. Manijeh Beigi | Medical Physics | Best Researcher Award

Dr. Manijeh Beigi is an Assistant Professor in the Radiation Oncology Department at Iran University of Medical Sciences. She specializes in dosimetry, radiotherapy treatment planning, and quality audits, with a focus on using machine learning for radiomics and dosiomics analysis. Dr. Beigi earned her Ph.D. in Medical Physics from Tehran University of Medical Sciences in 2018, where she researched the application of Diffusion Tensor Imaging (DTI) in radiotherapy planning. With over a decade of experience in radiotherapy physics, she has worked in multiple hospitals, including Imam Hosein, Haft-e-Tir, and Pardis Niloo Cancer Center. She is actively involved in research on predicting radiotherapy toxicity and advanced MR imaging applications. Dr. Beigi has mentored numerous students, contributed to high-impact journals, and presented at international conferences. Her research aims to enhance radiotherapy precision and patient safety through cutting-edge imaging and AI-driven models. šŸŽ“šŸ”¬

Profile

Education šŸŽ“

Dr. Manijeh Beigi holds a Ph.D. in Medical Physics (2018) from Tehran University of Medical Sciences, where she developed automated clinical target volume determination for glioma treatment using multiparametric MRI. She completed her M.Sc. in Medical Physics (2010) at Tarbiat Modares University, focusing on radiotherapy dosimetry and quality audits in Varian linear accelerators. Her coursework covered key topics such as radiotherapy physics, radiobiology, MRI, CT, and PET physics, statistical methods, and treatment planning. Throughout her academic journey, she has specialized in advanced imaging techniques, radiomics, and AI-based predictive modeling for radiotherapy applications. Dr. Beigi’s education has provided her with strong expertise in medical physics, treatment planning optimization, and quality assurance, positioning her as a leader in radiation oncology research and innovation. šŸ“š

Experience šŸ‘Øā€šŸ«

Dr. Manijeh Beigi has been an Assistant Professor at Iran University of Medical Sciences since 2020, where she focuses on radiotherapy physics, treatment planning, and quality assurance. Previously, she worked as a Radiotherapy Physicist at Imam Hosein Hospital (2010-2016), Haft-e-Tir Hospital (2016-Present), and Pardis Niloo Cancer Center (2019-2021), specializing in 3D conformal radiotherapy, IMRT planning, machine QA, and dosimetry. She was also a Research Assistant (2012-2018) at Tehran University of Medical Sciences, collaborating on quantitative MRI and spectroscopy research. Dr. Beigi has significant experience in mentoring students, managing research projects, and implementing AI-driven radiotherapy solutions. Her work integrates imaging and machine learning to optimize treatment efficacy and minimize patient toxicity. šŸ’¼šŸ”¬

Research Interests šŸ”¬

Dr. Manijeh Beigi’s research centers on dosimetry, radiotherapy quality audits, and the application of machine learning in radiomics and dosiomics. She explores AI-driven models to predict radiotherapy toxicity and optimize treatment planning. Her work integrates advanced MRI techniques, such as Diffusion Tensor Imaging (DTI), to enhance clinical target volume delineation for gliomas and other cancers. She investigates imaging biomarkers to assess radiation-induced damage and improve treatment precision. Additionally, Dr. Beigi is actively involved in multi-disciplinary research collaborations, utilizing deep learning for medical image analysis. Her contributions aim to advance radiation oncology by improving accuracy, reducing side effects, and personalizing treatment plans. šŸ§¬šŸ“”

Dr. Manijeh Beigi has received several accolades for her contributions to medical physics and radiotherapy research. She has been recognized for her work in AI-driven radiomics and dosiomics at international conferences, including ESTRO and AAPM. Her research on glioma segmentation using DTI and radiotherapy toxicity prediction has been published in top-tier journals. She has also been awarded grants for her studies on advanced MRI applications in radiotherapy planning. Additionally, Dr. Beigi has played a key role in multi-institutional research collaborations, earning recognition for her leadership in medical imaging and quality assurance. šŸ†šŸŽ–ļø

Publications šŸ“š

Pedram Fadavi | Radiation oncology | Best Researcher Award

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Dr. Pedram Fadavi | Radiation oncology | Best Researcher Award

Dr. Pedram Fadavi, M.D., is a distinguished radiation oncologist and associate professor at Iran University of Medical Sciences (IUMS). Born in Tehran, Iran (1974), he specializes in cancer treatment, radiotherapy, and oncological research. With over two decades of experience, he has contributed extensively to academia and clinical practice. His expertise spans breast, head, neck, and gynecologic cancers. He has published influential research in radiomics, chemotherapy delays, and treatment-induced complications. A dedicated educator, he mentors medical students and residents while advancing oncology research. šŸ“ššŸ’”

Profile

Education šŸŽ“

Dr. Fadavi earned his M.D. (2000) and board certification in Radiation Oncology (2006) from Shahid Beheshti University, Tehran. He completed a seven-year medical program (1993-2000) and specialized in radiation oncology during his residency (2002-2006). He holds an Iran Medical Council license (No. 76602) and actively contributes to medical education and research at IUMS. His training provided a strong foundation in oncologic treatments and innovative radiotherapy techniques. šŸ”¬šŸ“–

Experience šŸ‘Øā€šŸ«

Since 2006, Dr. Fadavi has served as a radiation oncologist at Haftome Tir Hospital (IUMS). He became an associate professor in 2008, teaching at IUMS and Tehran University of Medical Sciences (2011-2013). His clinical expertise includes radiotherapy advancements, cancer management, and interdisciplinary oncology research. He has led multiple projects addressing radiation-induced complications and patient outcomes. His leadership in academic and clinical oncology has shaped the future of radiation therapy in Iran. šŸŒšŸ”¬

Research Interests šŸ”¬

Dr. Fadaviā€™s research centers on radiomics, predictive modeling, and improving radiotherapy outcomes. His recent studies explore machine learning applications in radiation toxicity prediction, chemotherapy delays, and novel treatment strategies for breast, cervical, and head-and-neck cancers. He investigates biomarkers for cancer prognosis and response to therapy, with a strong emphasis on precision oncology. His work in computational oncology and artificial intelligence-driven diagnostics is shaping the future of personalized cancer treatment. šŸ’»šŸ§¬Awards & Recognitions šŸ…

Dr. Fadavi has received numerous accolades for his contributions to radiation oncology and medical research. His work on radiomics, treatment toxicity, and innovative oncological therapies has been recognized in national and international forums. His publications in leading journals and collaborations with top researchers underscore his impact on global cancer research. He has also been honored for his excellence in medical education, research innovation, and commitment to improving patient care. šŸ“œšŸ…

Publications šŸ“š