جست‌وجوی استاد و پژوهشگر

Dorte Bratbo Sørensenمشاهده پروفایل

دانشیار

• Laboratory Animal Welfare
• Animal Ethology
• Animal Ethics
• +۳ مورد دیگر

Dorte Bratbo Sørensen is an Associate Professor at the Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen. Her work focuses on laboratory animal welfare, ethology, and the ethical implementation of the 3Rs (Replacement, Reduction, Refinement) in animal research. She actively promotes a Culture of Care within laboratory animal science through evidence-based refinement strategies. Her educational background includes: Cand. med. vet. (DVM equivalent) from the Royal Veterinary and Agricultural University (now University of Copenhagen) in 1993 Dyreadfærdsterapeut (Animal Behavior Therapist) certification from Etologisk Institut in 1993 Ph.D. in Ethology and Animal Welfare from the University of Copenhagen in 2001 Specialized training in clicker instruction, project management, and higher education pedagogy Dr. Sørensen's research integrates ethology and veterinary science to develop: Voluntary procedure participation through positive reinforcement training Animal-centric husbandry protocols that reduce stress Practical frameworks for 3Rs implementation in research institutions Her work demonstrates how improved animal welfare directly enhances scientific validity and reproducibility in preclinical studies. Recent publications (2023-2025) reveal three critical trends: Operationalizing refinement through behavioral training techniques (e.g., clicker training for blood sampling) Developing sophisticated animal models for complex human conditions (e.g., microbiome-anorexia interactions) Advancing ethical governance of emerging technologies like genetically altered animals Her scientific contributions have been recognized with: The Taconic award for the most cited paper in the Scandinavian Journal of Laboratory Animal Science (2007) 3R prisen for outstanding contributions to refinement (2020) As coordinator of Veterinary Biomedicine differentiation since 2008, she mentors students in laboratory animal science while leading major initiatives including the Centre for Applied Laboratory Animal Research (CALAR) and Centre for Laboratory Animal Training (CeLAT). Her grant-funded work bridges academic research with EU regulatory frameworks through committees like the EU Platform for Education and Training in Laboratory Animal Science. She directs CeLAT's training programs and CALAR's research infrastructure while serving on Denmark's Animal Experimentation Board and contributing to international societies including FELASA and ISAE. Her leadership establishes practical pathways for translating ethical principles into daily laboratory practice.

• Computer Vision
• Machine Learning
• Adversarial Robustness
• +۴ مورد دیگر

Jenny Schmalfuss is a Doctoral Researcher at the Institute for Visualization and Interactive Systems (VIS) within the Faculty of Computer Science, Electrical Engineering, and Information Technology at the University of Stuttgart. She is also a scholar of the International Max Planck Research School for Intelligent Systems (IMPRS-IS). Her research focuses on computer vision and machine learning, specifically investigating robustness of deep learning methods against distribution shifts and adversarial attacks. Her primary research interests include computer vision, machine learning, and the intersection of these fields with robustness analysis. She has made significant contributions to understanding weaknesses in vision language models and motion estimation techniques like optical flow. Her work explores how to quantify and improve model robustness through adversarial testing frameworks. Her publication record shows a strong focus on adversarial robustness in motion estimation, with multiple papers at top-tier conferences including CVPR, ICCV, and ECCV. Recent work includes the PARC framework for analyzing vision language models (CVPR 2025), Distracting Downpour for weather-based adversarial attacks (ICCV 2023), and foundational work on adversarial snow attacks (ECCV AROW 2022). Poster Award at ICVSS 2023 Best Paper Award at ECCV AROW Workshop 2022 Best SimTech Bachelor's thesis 2021 (supervised) Jenny actively supervises numerous Master's theses, Bachelor's theses, and research projects annually, focusing primarily on optical flow robustness, adversarial attacks, and motion estimation. She has also completed an internship with NVIDIA's Autonomous Vehicle Perception Research Group in Santa Clara, CA, USA from April to November 2024, and previously worked as a research intern at the National University of Singapore and University of Houston. She teaches regularly in the Computer Vision and Intelligent Systems program, organizing colloquia and supervising seminars on Recent Advances in Computer Vision since 2021. Her teaching portfolio includes coordinating tutorials for Computer Vision and Imaging Science courses.

• Obstetrics and Gynaecology
• Placenta Accreta Spectrum
• AI in Medical Imaging
• +۳ مورد دیگر

Professor Sally Collins is a distinguished academic and clinician at the University of Oxford's Medical Sciences Division, where she serves as Professor of Obstetrics within the Nuffield Department of Women's and Reproductive Health. She also holds a clinical position as Consultant Obstetrician and Lead for Placenta Accreta at Birmingham Women's Hospital, where she directs the placenta accreta service. Her career bridges cutting-edge research in AI-assisted medical imaging with clinical practice in high-risk obstetrics. Professor Collins received her medical degree from the University of Oxford and specialized in Obstetrics and Gynaecology, completing a PhD in Obstetric Ultrasound during her training in the Oxford region. Her doctoral work initiated her research journey in artificial intelligence applications for medical imaging, which has since become a major focus of her career. Professor Collins's research primarily focuses on placenta accreta spectrum (PAS) disorders and the application of artificial intelligence in obstetric ultrasound. Her work spans clinical management guidelines, diagnostic innovation, and technological development for early pregnancy screening. She has pioneered the OxNNet Toolkit, a fully automated method for estimating placental morphology and vascularity from 3D-PD ultrasound images. Her research aims to develop early pregnancy screening tests for fetal growth restriction and pre-eclampsia, while also applying transfer learning techniques to assess volume and vascularity of other organs and tumors. Analysis of Professor Collins's recent publications reveals a strong focus on placenta accreta spectrum disorders, with significant contributions to diagnostic criteria, surgical management, and international guideline development. Her work increasingly integrates artificial intelligence with traditional obstetric ultrasound, creating novel tools for early pregnancy screening and risk assessment. The research shows a clear trajectory toward developing comprehensive screening protocols that combine multiple biomarkers for improved prediction of adverse pregnancy outcomes. Professor Collins has received numerous prestigious awards including: Sir Jules Thorn Award for Translational Research (2021) NIHR AI in Health and Care Awards (Phase 1 2020 & Phase 2 2021) NIH Human Placenta Project funding Andree Gruslin Award (2018) Seelye Fellowship (2016) Professor Collins actively mentors the next generation of obstetric researchers, including DPhil students like Sam Mathewlynn who works on the OxNNet Toolkit development. She leads multiple significant research grants, most notably as Principal Investigator on the Phase 2 NIHR AI in Health and Care award focused on testing the clinical utility of the OxNNet Toolkit. Her research portfolio also includes the NIH Human Placenta Project and various international collaborative studies on placenta accreta spectrum management. Professor Collins leads the Oxford Placenta Accreta Team (OxPAT) and chairs the International Society for Placenta Accreta Spectrum (IS-PAS), representing the UK internationally. Her research team includes collaborators like Yi Yin (Honorary Research Fellow), Mohammadreza Soltaninejad (Computer Scientist), Sam Mathewlynn (DPhil Student), Debbie Hedgecott (Clinical Trial Manager), Katja Shipp (Research Midwife), and Hooman Soleymani Majd (Honorary Senior Clinical Lecturer). She maintains international collaborations with institutions including the University of Cambridge, University of Auckland, University of New South Wales, and Hackensack University Medical Center.