Safora Johansen | radiographers | Best Paper Award

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Assist Prof Dr.Safora Johansen | radiographers | Best Paper Award

Associate professor and researcher at radiographers, Oslo Metropolitan University, Norway

Safora Johansen is an accomplished professional with a diverse background in health sciences and radiation physics. With a Ph.D. from the University of Oslo and extensive experience in academia and research, Safora has made significant contributions to her field. She currently holds positions as an Associate Professor at Oslo Metropolitan University and the Singapore Institute of Technology, where she continues to advance education and research. Safora has also been involved in various research projects and collaborations, receiving grants and fellowships for her work. Her expertise and dedication to her field are evident in her academic achievements and contributions to the advancement of health sciences and radiation physics.

Professional Profiles

Education:

Safora Johansen has a diverse educational background with a focus on health sciences and radiation physics. She completed her Bachelor’s degree in radiography at OsloMet in 1995, followed by a specialization in radiation therapy at the same institution in 1996. Safora furthered her education by pursuing a Medical image processing program at the University of Bergen (UIB) in 2001-2002, where she later obtained a Master’s degree in health science in 2005. Continuing her academic journey, Safora completed a Ph.D. in the Medicine faculty at the University of Oslo (UIO) in 2009, with a focus on radiation physics. In 2019, she also completed a course in university pedagogy at OsloMet University, enhancing her teaching skills. Additionally, Safora has pursued education in health and social administration and leadership at Folkeuniversitet, Asker, in 1997-1998. Her academic pursuits reflect a deep commitment to advancing her knowledge and expertise in the field of health sciences and radiation physics.

Teaching:

Safora Johansen has been actively involved in teaching and educational activities, contributing her expertise to various institutions and courses. Since 2013, she has been teaching courses such as radiation physics, statistics, research methodology, scientific article analysis, proposal preparation, and more at OsloMet. Additionally, she has been involved in teaching activities at OsloMet in collaboration with Dalhousie University and Sunnybrook Cancer Centre, focusing on Bachelor’s, Master’s thesis, and professional development courses since 2013. Safora has also been teaching a Master of Science course on the medical use of radiation at OsloMet in collaboration with McMaster University in Canada since 2014. Furthermore, she conducted an ESTRO pre-meeting course in 2018, showcasing her commitment to sharing knowledge and advancing education in the field of radiation physics and health sciences.

Experience:

Safora Johansen has held various academic and research positions, demonstrating her extensive experience and expertise in the field of radiation physics and health sciences. Since 2013, she has served as an Associate Professor at Oslo Metropolitan University (OsloMet), where she contributes to the advancement of education and research. Simultaneously, she holds a position as a Senior Researcher at Oslo University Hospital (OUH), focusing on shared decision-making and collaborative care research. Safora’s academic journey includes a Postdoctoral position at OUH from 2009 to 2011 and a Research Assistant role from 2002 to 2006. Prior to her academic roles, Safora worked as a Radiographer, Radiation Technologist, Lecturer, and Scientific Advisor at OUH, OsloMet, and the Radiographer Society from 1994 to 2002. Her diverse roles reflect her dedication to both research and education in the field of health sciences and radiation physics. Recently, in 2023, Safora joined the Singapore Institute of Technology as an Associate Professor, further expanding her academic reach and impact.

Fellowships and Grants:

Safora Johansen has been the recipient of several fellowships and grants in the last five years, demonstrating her commitment to research and education in the field of health sciences and radiation physics. In 2019, she secured a 50% PhD position at OsloMet for a duration of six years, from 2019 to 2025. Prior to this, Safora also held a 50% PhD position at OsloMet and Oslo University Hospital (OUS) from 2014 to 2018. Safora has also been involved in various research projects funded by external organizations. In 2021, she received a grant of NOK 3,000,000 from The Directorate for Higher Education and Competence (Hk-dir) for a project titled “Sustainable radiography education and collaboration.” Additionally, she received grants from the International Cooperation and Quality Enhancement in Higher Education (DiKU) in 2017 for projects collaborating with Canada and South Africa on establishing and developing professional collaboration in radiography. Furthermore, Safora has been involved in project collaborations with various Canadian universities and healthcare centers, receiving a grant of NOK 300,000 from DiKU in 2019 for this purpose. She has also received funding from Oslo Metropolitan University for a Clinical practice project in 2017.

Publications:

The effect of cancer patients’ and their family caregivers’ physical and emotional symptoms on caregiver burden

Authors: S Johansen, M Cvancarova, C Ruland

Journal: Cancer nursing

Volume: 41

Issue: 2

Pages: 91-99

Year: 2018

Citations: 173

A planning comparison of dose patterns in organs at risk and predicted risk for radiation-induced malignancy in the contralateral breast following radiation therapy of primary breast cancer

Authors: S Johansen, L Cozzi, DR Olsen

Journal: Acta Oncologica

Volume: 48

Issue: 4

Pages: 495-503

Year: 2009

Citations: 132

Arm and shoulder morbidity following surgery and radiotherapy for breast cancer

Authors: S Johansen, K Fosså, IL Nesvold, E Malinen, SD Fosså

Journal: Acta oncologica

Volume: 53

Issue: 4

Pages: 521-529

Year: 2014

Citations: 109

Recruitment challenges in clinical research including cancer patients and caregivers

Authors: K Sygna, S Johansen, CM Ruland

Journal: Trials

Volume: 16

Pages: 1-9

Year: 2015

Citations: 89

Long-term cardiac mortality after hypofractionated radiation therapy in breast cancer

Authors: KH Tjessem, S Johansen, E Malinen, KV Reinertsen, T Danielsen, …

Journal: International Journal of Radiation Oncology, Biology, Physics

Volume: 87

Issue: 2

Pages: 337-343

Year: 2013

Citations: 50

Xin Qian | Medical image application

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Mr. Xin Qian : Leading Researcher in Medical image application.

Chongqing University of Science and Technology, China.

Congratulations, Mr. Xin Qian, on winning the esteemed Excellence in Medical image application  Award from ResearchW! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

Profile: Orcid

Education:
  • Jinggangshan University Network Engineering (Bachelor of Engineering)
  • Chongqing University of Science and Technology Safety Engineering (Artificial Intelligence) (Master of Engineering)
Internship Experience
  • 2020-04 ~ 2020-07 Hunan Zhongke Information Technology Research Institute Research assistant
  • 2021-09 ~ 2022-06 Chongqing University of Science and Technology Postgraduate research assistant
  • 2022-09 ~ 2023-09 Graphics, Image and Data Analysis Research Laboratory, Chongqing University of Science and Technology Deep Learning Lead for Horizontal Projects
Personal Achievements
  • At present, he has published 4 journal papers
  • 1 SCI paper in the first district (one student + corresponding author)
  • 3 Chinese papers (1 first author +2 top three)
  • 6 SCI papers in review: among them
  • 1 student + corresponding author is reviewing 2 SCI papers (Region III)
  • 1 SCI paper is reviewing SCI papers as the first author (Region III)
  • 3 SCI papers are participating in the review (Region III)
  • Representative SCI papers (4 papers in total, supervisor: Professor Han Qi, Professor Zhang Ao, Professor Feng Liping, * as corresponding author)
  • And 4 invention patents and 1 software copyright

Publications:

  1.  Qi Han, Xin Qian∗, Hongxiang Xua, Kepeng Wu, Lun Menga, Zicheng Qiu, Tengfei Weng. DM-CNN: Dynamic Multi-scale Convolutional Neural Networks with Uncertainty Quantification for Medical Image Classification [J]. Computers in Biology and Medicine, 2023；(SCI- Accepted， IF：7.7； JCR Q1)
  2.  Xin Qian, Tengfei Weng*, Chen Wu, HongXiang Xu, Yuan Tian, Mingyang Hou,T Zicheng Qiu,. SPCB-Net: A multi-scale skin cancer image identification network using self-interactive attention pyramid and cross-layer bilinear-trilinear pooling [J]. IEEE ACCESS, 2023；(SCI- Under review，IF：3.9； JCR Q1)
  3.  Liping Feng, Xin Qian∗, Ziyi Pei, Tengfei Weng, Qi Han, Zicheng Qiu, Yuan Tian, Guanzhong Liang, Guoyan Meng and Yaojun Hao. A Multi-View Ensemble-Based Weakly Supervised Model for Skin Lesion Images Diagnosis in Dermoscopic Images [J]. Electronics,2023.(SCI- Under review，IF：2.9； JCR Q2)
  4.  Ao Zhang, Xin Qian∗, Chengcheng Xu, Jie Zhang. A Novel Artificial-Intelligence-Based Approach for Automatic Assessment of Retinal Disease Images using Multi-view Deep-Broad Learning Network[J]. IEEE ACCESS, 2023.(SCI- Under review， JCR Q1)

Invention patents :

  1. Medical image classification method based on feature fusion and attention mechanism; Han Qi, Qian Xin, WENG Tengfei, XU Hongxiang et al. (Acceptance and disclosure)
  2. Detection method of UAV high-altitude shooting image based on dynamic convolutional neural network; Tian Yuan, AO Zhenyu, Qian Xin, Fu Wenlong et al. (Acceptance and disclosure)
  3. Small target detection method of tiny lymph node image based on attention mechanism; Han Qi, XU Hongxiang, Qian Xin, PEI Yangjun et al. (Acceptance and disclosure) 4）
  4. Steel defect image segmentation method based on introducing frequency domain deep learning network; Tian Yuan, FU Wenlong, WU Kepeng, Qian Xin et al. (Acceptance and disclosure)

Software copyright:

  1.  Kangaroo shelf shopping software v1.0, Qian Xin. Registration number: 2020SR078073

 

May your efforts cultivate a future where the skies are not only filled with innovation but are also fortified against the challenges that technological progress may bring.

Wishing you continued success in your endeavors to secure the future of Medical image application and computer aided medical diagnosis.

Warm Regards,
Award Manager,
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International Research Awards on Cybersecurity and Cryptography,
cybersecurity@researchw.com