Groups
Women in MICCAI
Mission Statement
The mission of the Women in MICCAI (WiM) Committee is to strengthen and widen the representation of female scientists in the MICCAI community by pursuing policies that encourage more female participation in the field and ensure fair and equitable career promotion for female faculty and students – policies that assist in overcoming implicit gender bias within the community. WiM’s activities include: the coordination with the organizers of the annual MICCAI conferences, the organization of networking events within the community particularly at the MICCAI conference on an annual basis, the development and maintenance of online discussion and promotion platforms (e.g. Twitter Facebook, LinkedIn, Googlegroups), and interfacing and advising the MICCAI board on related matters.
History
The first of a series of informal, hour-long, networking events for female scientists within the community were held at MICCAI 2015 and at ISBI 2016. Several successful workshops for Women at CVPR and Women in Machine Learning were (WiML) were recently held. Based on the discussions and issues raised at those events, a group of faculty members in the community (Tal Arbel, Parvin Mousavi, Ipek Oguz, Gozde Unal) proposed to create a “Women in MICCAI (WiM) Committee”. Dr. Tanveer Syeda-Mahmood, Fellow IBM, joined as an executive member from industry. The WiM committee was approved by the MICCAI board in October 2016. The executives of the committee change over time with founding and previous board members remaining involved as advisors. Membership is open to everyone.
WiM follows the MICCAI Code of Conduct
Photo Gallery
Board Members
- 2025-2027
- 2024-2025
- 2023
- 2022
- 2021
- 2020
- 2019
Lei Li
PresidentNational University of Singapore
Lei Li
Lei Li is an Assistant Professor at the Department of Biomedical Engineering, National University of Singapore (NUS) and PI of Digital Heart Lab (DHlab). Previously, she was a Lecturer at the School of Electronics & Computer Science, University of Southampton.
Read MoreBaoru Huang
SecretaryUniversity of Liverpool
Baoru Huang
I am currently an Assistant Professor in the Department of Computer Science at the University of Liverpool. Prior to this, I worked as a Research Fellow in the Department of Computer Science at University College London, funded by the EU Horizon. I completed my PhD at the Hamlyn Centre, Imperial College London. I also had the privilege of working as a Research Scientist at Reality Labs, Meta (Facebook) before.
Read MoreAmelia Jiménez-Sánchez
Annual Event ExecutiveUniversity of Barcelona
Amelia Jiménez-Sánchez
I am a research data scientist excited to develop fairer AI algorithms for a diverse society.
Read MoreQingjie Meng
Annual Event ExecutiveUniversity of Birmingham
Qingjie Meng
I am an Assistant Professor in the School of Computer Science at University of Birmingham, where I lead the Medical AI Lab. I am an Honorary Research Fellow at Imperial College London. Before joining Birmingham, I was a Research Associate in Biomedical Image Analysis Group (BioMedIA), Department of Computing at Imperial College London, working with Prof. Daniel Rueckert and Prof. Declan O’Regan.
Read MoreCan Zhao
Industrial LiaisonNVIDIA
Can Zhao
Dr. Can Zhao has been a Research Scientist at NVIDIA focusing on deep learning for medical imaging since 2019. She specializes in deep learning based medical image synthesis. Currently she leads the development of MAISI, the 3D Medical Image Generation Foundation Model.
Read MoreInes Prata Machado
Industrial Liaison (mentorship)University of Cambridge
Ines Prata Machado
Machine Learning Engineer and Postdoctoral Research Scientist, University of Cambridge
Read MoreDeeksha Moodasarige Shama
Public Outreach and Membership OfficerJohns Hopkins University
Deeksha Moodasarige Shama
I am a PhD student in the Department of Electrical and Computer Engineering at Johns Hopkins University and a visting researcher at Boston University. I am advised by Prof.Archana Venkataraman. My research interests lie in the intersection of Probabilistic Machine learning, Deep Learning, Signal Processing, and Medical Imaging. It involves high-dimesnional signal analysis with applications to diagnosis and therapeutics for neurological disorders. In particular, I aim to develop interpretable AI models of clinical utility while dealing with the challenges of small dataset and noisy EEG data from Epilepsy and Autism population.
Read MoreNourhan Bayasi
Public Outreach and Membership OfficerBC Cancer & University of British Columbia
Nourhan Bayasi
Hi, I’m Nour! I’m currently a postdoctoral research fellow at BC Cancer Research Institute, working in the Quantitative Radiomolecular Imaging and Therapy Lab (Qurit) (pronounced Cure-It!), supervised by Prof. Arman Rahmim, to advance AI-driven radiomolecular imaging and therapy for better cancer care. I hold a PhD in Electrical and Computer Engineering from the University of British Columbia (UBC), where I was part of the Biomedical Signal and Image Computing Lab (BiSICL) under Prof. Rafeef Garbi. My PhD research was supported by the prestigious NSERC Vanier Canada Graduate Scholarship and it focused on improving AI for medical imaging, especially lifelong learning, domain generalization, fairness and bias mitigation. I also collaborated with Prof. Ghassan Hamarneh at SFU’s Medical Image Analysis Lab (MIAL).
Read MorePeirong Liu
WiM Honorary Elections OfficerJohns Hopkins University
Peirong Liu
My name is Peirong Liu (刘沛榕), since 2025 Fall, I have been an Assistant Professor of Electrical and Computer Engineering (ECE) at the Johns Hopkins University, affiliated with the Data Science and AI Institute. I received my PhD in Computer Science from UNC-Chapel Hill in 2023, where I was beyond fortunate to be advised by Dr. Marc Niethammer. During my PhD, I spent two summers as a research intern at Meta AI in New York City. After graduation, I completed my postdoc training at Harvard Medical School & Massachusetts General Hospital. I was recognized as a Rising Star in EECS by MIT, and a Rising Star in Data Science by UCSD, UChicago and Stanford.
Read MoreFetemeh Zabihollay
Code of Conduct OfficerUniversity of Toronto
Tanya Leah Akumu
Community Engagement OfficerUniversity of Barcelona
Tanya Leah Akumu
I am an AI researcher and engineer currently pursuing my PhD in Computer Science at the University of Barcelona, where I specialize in AI for medical imaging with a focus on ultrasound technology. My research, funded by a European Research Council grant, aims to develop AI solutions that improve quality healthcare access in low-resource settings.
Read MoreWeina Jin
Webinar OfficerSimon Fraser University
Weina Jin
Hi! I am Weina, a PhD student at Dr. Hamarneh’s Medical Image Analysis Lab, Computing Science, Simon Fraser University. My research is on developing end-user-centered interpretable AI (artificial intelligence), and how to use it to augment doctors’ clinical decision making based on medical image tasks. I’m especially interested in using explanations for better learning, for both AI (enable AI to learn better by forcing explicit representation) and doctors (learn from those explicit representations to accumulate experience from big clinical data).
Read MoreXuan Yang
Award OfficerNational University of Singapore
Xuan Yang
Xuan Yang is a PhD student at National University of Singapore (NUS), supervised by Dr. Lei Li. Her research focuses on 3D+T cardiac digital twin technology and medical image analysis, integrating dynamic temporal modeling with 3D cardiac structures for clinical simulation and AI-driven diagnostic applications.
Read MoreRuogu Fang
PresidentUniversity of Florida
Ruogu Fang
An AI researcher in medicine and healthcare, Dr. Ruogu Fang is a tenured Associate Professor and Pruitt Family Endowed Faculty Fellow in the J. Crayton Pruitt Family Department of Biomedical Engineering at the University of Florida.
Read MoreLei Li
SecretaryNational University of Singapore
Lei Li
Lei Li is an Assistant Professor at the Department of Biomedical Engineering, National University of Singapore (NUS) and PI of Digital Heart Lab (DHlab). Previously, she was a Lecturer at the School of Electronics & Computer Science, University of Southampton.
Read MoreCan Zhao
Industrial LiaisonNVIDIA
Can Zhao
Dr. Can Zhao has been a Research Scientist at NVIDIA focusing on deep learning for medical imaging since 2019. She specializes in deep learning based medical image synthesis. Currently she leads the development of MAISI, the 3D Medical Image Generation Foundation Model.
Read MoreNicha Dvornek
Honorary Elections OfficerYale University
Feng Yang
Annual Event ExecutiveFood and Drug Administration
Feng Yang
Dr. Feng Yang has obtained her doctor degree in INSA Lyon, France on Medical Image Processing and Analysis. She had been an Associate Professor in Computer Science in Beijing Jiaotong University, and then as a visiting scientist at the National Library of Medicine of National Institute of Health (NIH) on biomedical image processing and analysis based on artificial intelligence (deep learning algorithm development).
Read MoreNadieh Khalili
Annual Event ExecutiveRadboud University
Nadieh Khalili
Nadieh Khalili has been appointed as a researcher in Talent Track 1 at Radboud University Medical Center. Her research focuses on multimodal medical data analysis as part of the Sectorplan Data-Driven Innovation, bridging imaging to genomics.
Read MoreDanli Shi
Award OfficerHong Kong Polytechnic University
Danli Shi
Dr Shi is an ophthalmologist with a keen interest in artificial intelligence. She undertook her medical training at Shanghai Jiao Tong University School of Medicine (BS and MS degrees) and obtained a doctorate at Sun Yat-sen University in 2022. She has a strong research interest in artificial intelligence algorithm development and its translation into clinical practice.
Read MoreWeina Jin
Public Outreach and Membership OfficerSimon Fraser University
Weina Jin
Hi! I am Weina, a PhD student at Dr. Hamarneh’s Medical Image Analysis Lab, Computing Science, Simon Fraser University. My research is on developing end-user-centered interpretable AI (artificial intelligence), and how to use it to augment doctors’ clinical decision making based on medical image tasks. I’m especially interested in using explanations for better learning, for both AI (enable AI to learn better by forcing explicit representation) and doctors (learn from those explicit representations to accumulate experience from big clinical data).
Read MoreAzade Farshad
Public Outreach and Membership OfficerTechnical University of Munich
Azade Farshad
Scene graphs Generative Models Unsupervised Learning Self-Supervised Learning Meta-learning Multi-modal learning
Read MoreBella Specktor
Community Engagement OfficerUniversity of Haifa
Bella Specktor
I am an Assistant Professor (Lecturer) in the Department of Medical Imaging Sciences at the University of Haifa, where I opened my Healthcare Computer Vision (hVision) lab. I earned my PhD from the School of Computer Science and Engineering at the Hebrew University of Jerusalem, followed by postdoctoral research in collaboration with the Martinos Center for Biomedical Engineering at Harvard Medical School. Before my PhD studies, I worked as a scientist at Philips, specializing in the Medical Imaging domain.
Read MoreFetemeh Zabihollay
Code of Conduct OfficerUniversity of Toronto
Ines Prata Machado
Industrial Liaison (mentorship)University of Cambridge
Ines Prata Machado
Machine Learning Engineer and Postdoctoral Research Scientist, University of Cambridge
Read MoreSejung Yang
WiM Local OfficerYonsei University
Ruogu Fang
PresidentUniversity of Florida
Ruogu Fang
An AI researcher in medicine and healthcare, Dr. Ruogu Fang is a tenured Associate Professor and Pruitt Family Endowed Faculty Fellow in the J. Crayton Pruitt Family Department of Biomedical Engineering at the University of Florida.
Read MoreLei Li
SecretaryNational University of Singapore
Lei Li
Lei Li is an Assistant Professor at the Department of Biomedical Engineering, National University of Singapore (NUS) and PI of Digital Heart Lab (DHlab). Previously, she was a Lecturer at the School of Electronics & Computer Science, University of Southampton.
Read MoreFeng Yang
Annual Event ExecutiveFood and Drug Administration
Feng Yang
Dr. Feng Yang has obtained her doctor degree in INSA Lyon, France on Medical Image Processing and Analysis. She had been an Associate Professor in Computer Science in Beijing Jiaotong University, and then as a visiting scientist at the National Library of Medicine of National Institute of Health (NIH) on biomedical image processing and analysis based on artificial intelligence (deep learning algorithm development).
Read MoreNadieh Khalili
Annual Event ExecutiveRadboud University
Nadieh Khalili
Nadieh Khalili has been appointed as a researcher in Talent Track 1 at Radboud University Medical Center. Her research focuses on multimodal medical data analysis as part of the Sectorplan Data-Driven Innovation, bridging imaging to genomics.
Read MoreNoha El-Zehiry
Industrial LiaisonWipro
Weina Jin
Public Outreach and Membership OfficerSimon Fraser University
Weina Jin
Hi! I am Weina, a PhD student at Dr. Hamarneh’s Medical Image Analysis Lab, Computing Science, Simon Fraser University. My research is on developing end-user-centered interpretable AI (artificial intelligence), and how to use it to augment doctors’ clinical decision making based on medical image tasks. I’m especially interested in using explanations for better learning, for both AI (enable AI to learn better by forcing explicit representation) and doctors (learn from those explicit representations to accumulate experience from big clinical data).
Read MoreAzade Farshad
Public Outreach and Membership OfficerTechnical University of Munich
Azade Farshad
Scene graphs Generative Models Unsupervised Learning Self-Supervised Learning Meta-learning Multi-modal learning
Read MoreNicha Dvornek
Honorary Elections OfficerYale University
Alice Othmani
Code of Conduct OfficerUniversité Paris-Est Créteil
Bella Specktor
Community Engagement OfficerUniversity of Haifa
Bella Specktor
I am an Assistant Professor (Lecturer) in the Department of Medical Imaging Sciences at the University of Haifa, where I opened my Healthcare Computer Vision (hVision) lab. I earned my PhD from the School of Computer Science and Engineering at the Hebrew University of Jerusalem, followed by postdoctoral research in collaboration with the Martinos Center for Biomedical Engineering at Harvard Medical School. Before my PhD studies, I worked as a scientist at Philips, specializing in the Medical Imaging domain.
Read MoreXiaoxiao Li
PresidentThe University of British Columbia
Baiying Lei
SecretaryShenzhen University
Baiying Lei
Dr. Lei received her M. Eng degree in electronics science and technology from Zhejiang University, China, and Ph.D. degree from Nanyang Technological University (NTU), Singapore, respectively. Her research interests include medical image analysis, artificial intelligence, and pattern recognition.
Read MoreAyelet Akselrod-Ballin
Annual Event ExecutiveZebra Medical Vision
Rui Liao
Industrial LiaisonSiemens Healthineers
Jessica Rodgers
Public Outreach OfficerUniversity of Manitoba
Lei Li
SecretaryNational University of Singapore
Lei Li
Lei Li is an Assistant Professor at the Department of Biomedical Engineering, National University of Singapore (NUS) and PI of Digital Heart Lab (DHlab). Previously, she was a Lecturer at the School of Electronics & Computer Science, University of Southampton.
Read MoreFrancesca Galassi
Election OfficerUniversity of Rennes, Inria-Irisa
Francesca Galassi
I am an Associate Professor in Computer Science at the University of Rennes (ESIR Engineering School, ENS, ISTIC) and a member of the Empenn research team (Univ Rennes, Inria, CNRS, Inserm, IRISA). My research focuses on learning-based methods for medical image analysis, in particular anomaly detection and segmentation in brain and spinal cord MRI, with applications to multiple sclerosis and stroke.
Read MoreGhada Zamzmi
Code of Conduct OfficerNational Institute of Health (NIH)
Islem Rekik
PresidentIstanbul Technical University
Pallavi Tiwari
Annual Event ExecutiveCase School of Engineering
Pallavi Tiwari
Pallavi Tiwari, PhD is an Associate Professor (tenure) in the Departments of Radiology, Biomedical Engineering, and Medical Physics; and serves as the Co-Director of Imaging and Radiation Science at the Carbone Cancer Center.
Read MoreLinwei Wang
Election OfficerRochester Institute of Technology
Linwei Wang
Department of Computing and Information Sciences Ph.D. Golisano College of Computing and Information Sciences.
Read MoreDuygu Sarikaya
Gazi UniversityOutreach Officer
Thi Hoang Ngan Le
Annual Event ExecutiveUniversity of Arkansas
Islem Rekik
PresidentIstanbul Technical University
Pallavi Tiwari
Annual Event ExecutiveCase School of Engineering
Pallavi Tiwari
Pallavi Tiwari, PhD is an Associate Professor (tenure) in the Departments of Radiology, Biomedical Engineering, and Medical Physics; and serves as the Co-Director of Imaging and Radiation Science at the Carbone Cancer Center.
Read MoreDespina Kontos
MICCAI Board Liaison OfficerUniversity of Pennsylvania
Despina Kontos
Despina Kontos, PhD, is a computer scientist with expertise in artificial intelligence, machine learning, and big data analytics for multi-modality imaging data. She is the chief research information officer for Columbia University Irving Medical Center (CUIMC). She is also the vice chair of artificial intelligence and data science research in the Department of Radiology at CUIMC and director of biomarker imaging at NewYork-Presbyterian Hospital—with additional appointments in the Departments of Biomedical Informatics and Biomedical Engineering.
Read MoreLinwei Wang
Election OfficerRochester Institute of Technology
Linwei Wang
Department of Computing and Information Sciences Ph.D. Golisano College of Computing and Information Sciences.
Read MoreDuygu Sarikaya
Gazi UniversityOutreach Officer
Thi Hoang Ngan Le
Annual Event ExecutiveUniversity of Arkansas
Beatriz Paniagua
AdvisorKitware/University of North Carolina at Chapel Hill (UNC)
Beatriz Paniagua
Beatriz (“Bea”) Paniagua is an Assistant Director of Kitware’s Medical Computing Team, based in Carrboro, North Carolina. She leads large-scale research and development programs at the intersection of artificial intelligence, healthcare, and scientific computing, guiding teams that design, build, and deliver software solutions used by researchers, clinicians, and industry partners worldwide.
Read MoreIslem Rekik
PresidentIstanbul Technical University
Pallavi Tiwari
Annual Event ExecutiveCase School of Engineering
Pallavi Tiwari
Pallavi Tiwari, PhD is an Associate Professor (tenure) in the Departments of Radiology, Biomedical Engineering, and Medical Physics; and serves as the Co-Director of Imaging and Radiation Science at the Carbone Cancer Center.
Read MoreDespina Kontos
MICCAI Board Liaison OfficerUniversity of Pennsylvania
Despina Kontos
Despina Kontos, PhD, is a computer scientist with expertise in artificial intelligence, machine learning, and big data analytics for multi-modality imaging data. She is the chief research information officer for Columbia University Irving Medical Center (CUIMC). She is also the vice chair of artificial intelligence and data science research in the Department of Radiology at CUIMC and director of biomarker imaging at NewYork-Presbyterian Hospital—with additional appointments in the Departments of Biomedical Informatics and Biomedical Engineering.
Read MoreLinwei Wang
Election OfficerRochester Institute of Technology
Linwei Wang
Department of Computing and Information Sciences Ph.D. Golisano College of Computing and Information Sciences.
Read MoreDuygu Sarikaya
Gazi UniversityOutreach Officer
Thi Hoang Ngan Le
Annual Event ExecutiveUniversity of Arkansas
Ipek Oguz
AdvisorVandelbilt University
Ipek Oguz
Ipek Oguz is an Assistant Professor in the Department of Electrical Engineering and Computer Science at Vanderbilt University. She received her Ph.D. in Computer Science at the University of North Carolina at Chapel Hill. Prior to joining Vanderbilt, she worked in the Penn Image Computing and Science Laboratory (PICSL) and Center for Biomedical Image Computing and Analytics (CBICA) at the University of Pennsylvania as well as in the Iowa Institute for Biomedical Imaging (IIBI) at the University of Iowa.
Read MoreParvin Mousavi
AdvisorQueen's University
Parvin Mousavi
My research interests are in Computer-aided diagnosis and interventions. These include: Machine learning techniques for in silico inference and prediction Analysis of ultrasound images and signals for enhancement of cancer detection Image-aided, computer-assisted diagnosis of disease Ultrasound-guided interventions Knowledge discovery from high throughput biological data Quantitative modeling and reverse engineering of gene regulatory networks Analysis, segmentation and classification of fluorescence microscopy images Chromosome and cell imaging.
Read More