Dr. Shadi Albarqouni (د. شادي البرقوني) |
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Scholar
https://orcid.org/0000-0003-2157-2211I am currently leading the Medical Image Analysis team at the CAMP Chair!?, and I am coordinating and managing the relevant research activities and projects with our academic and industry partners. I'm highly interested in the area of Human-Machine Collaboration and applications of deep learning in medical imaging.
Hot Stuff
- A new personal webpage can be found here.
- Serving as an Area Chair (AC) at MICCAI 2020 Conference
- Serving as a Reviewer at European Conference on Computer Vision (ECCV), Glasgow, UK 2020
- Shortlisted as Young Investigator Group Leader at HelmholtzAI?
- Received DAAD P.R.I.M.E Fellowship (Acceptance rate: 12%) for spending one year at Computer Vision Lab in ETH Zurich and BioMedIA in Imperial College London.
Short Curriculum Vitae
Experience
| 2020- | Visiting Scientist, Department of Computing, Imperial College London, London, United Kingdom |
| 2019- 2020 | Visiting Scientist, CVL - ETH Zurich, Zurich, Switzerland |
| 2017- | Postdoctoral Research Associate, CAMP - Technische Universität München (TUM), Munich, Germany |
| 2013-2016 | Visiting Scholar, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany |
| 2011-2012 | Lecturer in Electrical and Computer Engineering Departments, The Islamic University of Gaza, Palestine |
| 2007-2012 | Lecturer in Information Technology Department, University College of Applied Science, Palestine |
| 2006-2007 | Teaching Assistant in Electrical Engineering Department, The Islamic University of Gaza, Palestine |
Education
| 2013-2017 | Ph.D. Informatics,Chair for Computer Aided Medical Procedures (CAMP), Technical University Munich, Germany
under the supervision of Prof. Dr. Nassir Navab |
| 2005-2010 | M.Sc. Electrical Engineering, The Islamic University of Gaza, Palestine
Thesis: Re-evaluation and re-design of stand alone PV solar lighting projects: Gaza Strip, Palestine under the supervision of Prof. Dr. Mohammed T. Hussein |
| 2001-2005 | B.Sc. Electrical Engineering, The Islamic University of Gaza, Palestine
Finished within 4 years instead of the regular period of 5 years. |
Scholarship & Awards
- Reviewer Commendation at MICCAI 2018, Granada, Spain
- Best Paper Award at MIAR Conference 2016, Bern, Switzerland
- 3rd rank in MICCAI-AMIDA13 challenge for Automatic Models for Mitosis Detection in Breast Cancer Histology Images
- Ph.D. Fellowship
- Best Master Thesis Award in Faculty of Engineering, Jun. 2010, The Islamic University of Gaza, Palestine.
- Arab Bank Scholarship, Sept. 2001-Sept. 2002, Gaza, Palestine.
Professional Activities
Reviewer
- European Conference on Computer Vision (ECCV), Glasgow, UK 2020
- British Machine Vision Conference (BMVC), Cardiff, UK 2019
- The international conference on Medical Imaging and Computer Aided Intervention (MICCAI), China 2019
- International conference on Medical Imaging with Deep Learning (MIDL), London, UK 2019
- The international conference on Medical Imaging and Computer Aided Intervention (MICCAI) - Acceptance Rate: 30%, Spain 2018
- The International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), 2018
- IEEE International Symposium on Biomedical Imaging (ISBI) - Washington D.C. 2018
- The international conference on Medical Imaging and Computer Aided Intervention (MICCAI) - Acceptance Rate: 30%, Quebec 2017
- The International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), 2017
- IEEE - Transaction on Medical Imaging (TMI) - Impact Factor: 3.76, 2016
- IEEE - Journal of Biomedical and Health Informatics (JBHI) - Impact Factor: 2.093, 2016
- The international conference on Medical Imaging and Computer Aided Intervention (MICCAI) - Acceptance Rate: 30%, Athens 2016
- International Journal on Computer Assisted Radiology and Surgery (IJCARS) - Impact Factor: 1.827, 2015
- Pattern Recognition - Impact Factor: 3.399, 2015-2016
Organizing Committee (OC) / Program Committee (PC) / Area Chair (AC)
- AC at The international conference on Medical Imaging and Computer Aided Intervention (MICCAI), Peru 2020
- OC member at MICCAI Workshop on Domain Adaptation and Representation Transfer (DART) 2019
- OC member at MICCAI Workshop on Computational Pathology (COMPAY) 2019
- OC member at the Joint CVII-STENT MICCAI Workshop in Shenzhen 2019.
- AC at The international conference on Medical Imaging and Computer Aided Intervention (MICCAI), China 2019
- PC member at MICCAI Workshop on LABELS 2018
- PC member at MICCAI Workshop on Breast Image Analysis 2018
- OC member at the Deep A-Z MICCAI Tutorial in Granada 2018
- OC member at the Joint CVII-STENT MICCAI Workshop in Granada 2018
- PC member at DLMIA 2017
- OC member at the Joint CVII-STENT MICCAI Workshop in Quebec 2017
- PC member at LABELS 2016, LABELS 2017
- Publicity Chair at the Joint CVII-STENT MICCAI Workshop in Munich 2015, and Athens 2016
- Lecturer at Deep Learning Workshop 2016, and 2017
Membership
- IEEE Computer Society
- MICCAI: Medical Image Computing and Computer-Assisted Intervention
- BMVA: The British Machine Vision Association
- SPIE: Society of Photo-optical Instrumentation Engineers
- ATA: American Telemedicine Association
- Entrepreneur
Invited Talks
- Keynote Speech about "Towards Deep Federated Learning in Healthcare" at Special Session on AI in Medicine at the International Conference on Artificial Neural Networks (ICANN), Munich, Germany.
- Invited Speaker at ZEISS Innovation Days 2019 in Oberkochen, Germany.
- Invited Speaker at Institute of Computational Biology (ICB), Helmholtz Zentrum, Munich, Germany.
- Invited Speaker at NeoColam Meeting in Munich, Germany.
- Lecturer at Tutorial on Deep Learning for Medical Imaging: From A(dversarials) to Z(-space) during the MICCAI Conference in Granada, Spain.
- Invited Speaker at Computational Pathology Symposium during the European Congress of Pathology in Bilbao, Spain.
Open Positions
PhD Positions
If you are coming with third-party funding, i.e. DAAD, Marie-Curie Fellowship, and interested in our research themes, then please drop me an email with your CV and motivation letter.Internship Offers
- Undergraduate Excellence Awards 2020
- Undergraduate Excellence Awards 2019
- Practical Research Experience Program (PREP) for North American Students -- check out our project
- WISE Internship for Indian Instiutes
- Internship Offers for (Senior Bachelor + Master) Students - University of Alberta (UofA), Edmonton, Canada
- Internship Offer for Bachelor Students - RISE Program
- Internship Offer for Bachelor Students - RISE Program (finished - Claire Kaiser|Unites States).
Ongoing Projects
Majority of the projects, I'm leading, are coming from our industry partners. Currently, active projects include:- Roche Diagnostics, on developing segmentation and stain transfer in histology
- Siemens AG, on developing cell detection and classification for WBC imaging
- Siemens AG, on developing RGB-based pose estimation for camera relocalization
- Siemens Healthineers, on developing image enhancement algorithms for fluoroscopic imaging.
- Zeiss, on developing ML methods for microaneurysm detection in fundus imaging
- R&S, on developing unsupervised ML methods for anomaly detection
Teaching
- Hauptseminar Federated Learning in Healthcare (2020WiSe)
- Hauptseminar Deep Learning for Medical Applications (2019WiSe)
- Praktikum Machine Learning in Medical Imaging (2019WiSe)
- Hauptseminar Deep Learning for Medical Applications (2019SoSe)
- Praktikum Machine Learning in Medical Imaging (2019SoSe)
- Hauptseminar Deep Learning for Medical Applications (2018WiSe)
- Praktikum Machine Learning in Medical Imaging (2018WiSe)
- Hauptseminar Deep Learning for Medical Applications (2018SoSe)
- Praktikum Machine Learning in Medical Imaging (2018SoSe)
- Hauptseminar Deep Learning for Medical Applications (2017WiSe)
- Praktikum Machine Learning in Medical Imaging (2017WiSe)
- Hauptseminar Deep Learning for Medical Applications (2017SoSe)
- Hauptseminar Deep Learning for Medical Applications (2016WiSe)
- Praktikum Machine Learning in Medical Imaging (2016WiSe)
- Praktikum Machine Learning In Medical Imaging (2016SoSe)
- Hauptseminar Navigation Concepts in Interventional Imaging (2016SoSe)
- Praktikum Machine Learning In Medical Imaging (2015WiSe)
- Praktikum Project Management and Software Development for Medical Applications (2015WiSe)
- Praktikum Project Management and Software Development for Medical Applications (2015SoSe)
- Praktikum Machine Learning in Medical Imaging (2015SoSe)
- Praktikum Project Management and Software Development for Medical Applications (2014WiSe)
- Praktikum Project Management and Software Development for Medical Applications (2014SoSe)
Student Projects
Feel free to contact me to any of the following projects. open: drop by and ask!. For open master thesis, please follow the page here.- Former Students: Christoph Baur, Mai Bui, Agnieszka Tomczak
| Available |
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| Project | Uncertainty Aware Methods for Camera Pose Estimation in Images and 3-Dimensional Data (Dr. Shadi Albarqouni, Dr. Tolga Birdal, Prof. Dr. Nassir Navab, Prof. Dr. Leonidas Guibas) |
List of Publications
The publication page is not maintained anymore, for recent research papers, please visit my Google Scholar| 2020 | |
| , A. Kazi, S. Albarqouni, , P. Biberthaler, N. Navab, , D. Mateus
Precise proximal femur fracture classification for interactive training and surgical planning Int. J. Comput. Assist. Radiol. Surg. 2020, 15(5), pp.847-857. (bib) |
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| R.D. Soberanis-Mukul, N. Navab, S. Albarqouni
An Uncertainty-Driven GCN Refinement Strategy for Organ Segmentation MIDL 2020 Special Issue at the Journal of Machine Learning for Biomedical Imaging (MELBA), 2020 (bib) |
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| A. Sadafi, A. Makhro, A. Bogdanova, N. Navab, T. Peng, S. Albarqouni, C. Marr
Attention based Multiple Instance Learning for Classification of Blood Cell Disorders International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Lima, Peru, 2020 (bib) |
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| A. Tran , J. Weiss, S. Albarqouni, S. Faghihroohi, N. Navab
Retinal Layer Segmentation Reformulated as OCT Language Processing Medical Image Computing and Computer Assisted Interventions (MICCAI) Lima, Peru, October 2020 (bib) |
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| C. Baur, R. Graf, B. Wiestler, S. Albarqouni, N. Navab
SteGANomaly: Inhibiting CycleGAN? Steganography for Unsupervised Anomaly Detection in Brain MRI Accepted to the Proceedings of the 23rd International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Lima, Peru, October 2020 (bib) |
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| C. Baur, B. Wiestler, S. Albarqouni, N. Navab
Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI Accepted to the Proceedings of the 23rd International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Lima, Peru, October 2020 A pre-print version is available online at arXiv. (bib) |
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M. Bui, T. Birdal, H. Deng, S. Albarqouni, L. Guibas, S. Ilic, N. Navab
6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference Proceedings of European Conference on Computer Vision, 2020, Glasgow (bib) |
| R.D. Soberanis-Mukul, N. Navab, S. Albarqouni
Uncertainty-based graph convolutional networks for organ segmentation refinement Medical Imaging with Deep Learning (MIDL), 2020 (bib) |
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| S. Ali, F. Zhou, B. Braden, A. Bailey, S. Yang, G. Cheng, P. Zhang, X. Li, M. Kayser, R.D. Soberanis-Mukul, S. Albarqouni, et al.
An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy Scientific Reports, 2020 (bib) |
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| Y. Yeganeh, A. Farshad, N. Navab, S. Albarqouni
Inverse Distance Aggregation for Federated Learning with Non-IID Data MICCAI Workshops proceedings with Springer (LNCS) (bib) |
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| 2019 | |
| M. Bui, C. Baur, N. Navab, S. Ilic, S. Albarqouni
Adversarial Networks for Camera Pose Regression and Refinement Proceedings of the International Conference on Computer Vision Workshops, 27 October - 2 November, 2019, Seoul (bib) |
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M. H. Sarhan, S. Albarqouni, N. Navab, A. Eslami
Multi-scale Microaneurysms Segmentation Using Embedding Triplet Loss 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, China, 2019 (bib) |
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A. Lahiani, N. Navab, S. Albarqouni, E. Klainman
Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Transfer 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, China, 2019 (bib) |
| A. Khakzar, S. Albarqouni, N. Navab
Learning Interpretable Features via Adversarially Robust Optimization 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, China, 2019 (pre-print version is available online at arXiv) (bib) |
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| A. Kazi, S. Shekarforoush, S. Krishna, H. Burwinkel, G. Vivar, B. Wiestler, K. Kortüm, A. Ahmadi, S. Albarqouni, N. Navab
Graph convolution based attention model for personalized disease prediction 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, China, 2019 (bib) |
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| S. Hariharan, N. Strobel, C. Kaethner, M. Kowarschik, S. Albarqouni, R. Fahrig, N. Navab
Learning-based X-ray Image Denoising utilizing Model-based Image Simulations 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, China, 2019 (bib) |
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| H. Burwinkel, A. Kazi, G. Vivar, S. Albarqouni, G. Zahnd, N. Navab, A. Ahmadi
Adaptive image-feature learning for disease classification using inductive graph networks International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Shenzhen, China, 2019 (pre-print version is available online at arXiv) (bib) |
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A. Ayyad, N. Navab, M. Elhoseiny, S. Albarqouni
Semi-Supervised Few-Shot Learning with Local and Global Consistency Submitted to the 36th International Conference on Machine Learning. A pre-print version is available online at arXiv. (bib) |
| C. Baur, S. Albarqouni, N. Navab
Fusing Unsupervised and Supervised Deep Learning for White Matter Lesion Segmentation Proceedings of the 2nd International Conference on Medical Imaging with Deep Learning (MIDL), will be held from July 8th to 10th, 2019 in London, United Kingdom. (bib) |
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| A. Kazi, S. Shekarforoush, S. Krishna, H. Burwinkel, G. Vivar, K. Kortüm, A. Ahmadi, S. Albarqouni, N. Navab
InceptionGCN : Receptive Field Aware Graph Convolutional Network for Disease Prediction (Oral) Proceedings of International Conference on Information Processing in Medical Imaging (IPMI), Hong Kong, 2019 (bib) |
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| A. Kazi, S. Krishna, S. Shekarforoush, K. Kortüm, S. Albarqouni, N. Navab
Self-Attention Equipped Graph Convolutions for Disease Prediction (Oral) Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), Venice, Italy A pre-print version is available online at arXiv. (bib) |
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M. T. Shaban, C. Baur, N. Navab, S. Albarqouni
StainGAN: Stain Style Transfer for Digital Histological Images Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI), Venice, Italy A pre-print version is available online at arXiv. (bib) |
| A. Jiménez-Sánchez, A. Kazi, S. Albarqouni, C. Kirchhoff, , , D. Mateus, C. Kirchhoff
Towards an Interactive and Interpretable CAD System to Support Proximal Femur Fracture Classification (pre-print version is available online at arXiv) (bib) |
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| 2018 | |
| A. Kazi, A. Jiménez-Sánchez, S. Albarqouni, C. Kirchhoff, , P. Biberthaler, D. Mateus, N. Navab
Weakly-Supervised Localization and Classificationof Proximal Femur Fractures (pre-print version is available online at arXiv) (bib) |
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| M. Degel, N. Navab, S. Albarqouni
Domain and Geometry Agnostic CNNs for Left Atrium Segmentation in 3D Ultrasound Proceedings of 21st International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Granada, Spain, September 2018 A pre-print version is available online at arXiv. (bib) |
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| A. Sanchez, S. Albarqouni, D. Mateus
Capsule Networks against Medical Imaging Data Challenges Proceedings of MICCAI Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis, Granada, Spain, September 2018 A pre-print version is available online at arXiv. (bib) |
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| D. Stoyanov, R. Taylor, S. Balocco, R. Sznitman, A. Martel, L. Maier-Hein, L. Duong, G. Zahnd, S. Demirci, S. Albarqouni, J. Lee, S. Moriconi, V. Cheplygina, D. Mateus, E. Trucco, E. Granger, P. Jannin
Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis MICCAI 2018 Workshops (bib) |
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M. Bui, S. Albarqouni, S. Ilic, N. Navab
Scene Coordinate and Correspondence Learning for Image-Based Localization Proceedings of the British Machine Vision Conference, 3-6 September, 2018, Newcastle (Oral presentation) (bib) |
| C. Baur, B. Wiestler, S. Albarqouni, N. Navab
Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images Accepted to the Proceedings of the Brain Lesion Workshop at the 21th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Granada, Spain, September 2018 A pre-print version is available online at arXiv. (bib) |
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| C. Baur, S. Albarqouni, N. Navab
Generating Highly Realistic Images of Skin Lesions with GANs Accepted to the Proceedings of the ISIC Skin Image Analysis Workshop at the 21th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Granada, Spain, September 2018 A longer pre-print version is available at arXiv. (bib) |
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M. Molina-Romero, PA. Gómez, S. Albarqouni, JI. Sperl, MI. Menzel, B. Menze
Deep learning with synthetic data for free water elimination in diffusion MRI Proceedings of the International Society of Magnetic Resonance in Medicine (ISMRM), Paris, France, June 2018 (bib) |
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M. Bui, S. Zakharov, S. Albarqouni, S. Ilic, N. Navab
When Regression meets Manifold Learning for Object Recognition and Pose Estimation Proceedings of IEEE International Conference on Robotics and Automation (ICRA), 21-25 May, 2018, Brisbane, Australia (bib) |
| K. Breininger, S. Albarqouni, T. Kurzendorfer, M. Pfister, M. Kowarschik, A. Maier
Intraoperative Stent Segmentation in X-ray Fluoroscopy for Endovascular Aortic Repair International Journal of Computer Assisted Radiology and Surgery (IJCARS) (bib) |
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| C. Baur, S. Albarqouni, N. Navab
MelanoGANs: High Resolution Skin Lesion Synthesis with GANs Submitted to the 1st International conference on Medical Imaging with Deep Learning (MIDL), Amsterdam, Netherlands, July 2018 A pre-print version is available online at arXiv. (bib) |
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| S. Hariharan, N. Strobel, C. Kaethner, M. Kowarschik, S. Demirci, S. Albarqouni, R. Fahrig, N. Navab
A photon recycling approach to denoising of ultra-low dose X-ray sequences International Journal of Computer Assisted Radiology and Surgery / 9th International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), Berlin, Germany, June 2018. (bib) |
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| 2017 | |
| B. Wiestler, C. Baur, P. Eichinger, , T. Zhang, V. Biberacher, C. Zimmer, , J. Kirschke, S. Albarqouni
Fully Automated Multiple Sclerosis lesion detection on multi-channel subtraction images through an integrated Computer Vision- Machine Learning pipeline Clinical Neuroradiolgy (2017) 27:S1-S118 (bib) |
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| A. Kazi, S. Albarqouni, A. Sanchez, C. Kirchhoff, P. Biberthaler, N. Navab, D. Mateus
Automatic Classification of Proximal Femur Fractures based on Attention Models Proceedings of MICCAI Workshop on Machine Learning in Medical Imaging (MLMI), Quebec, Canada, September 2017 (bib) |
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| J. Cardoso, T. Arbel, J. Lee, V. Cheplygina, S. Balocco, D. Mateus, G. Zahnd, L. Maier-Hein, S. Demirci, E. Granger, L. Duong, M. A. Carbonneau, S. Albarqouni, G. Carneiro
Intravascular imaging and computer assisted stenting, and large-scale annotation of biomedical data and expert label synthesis MICCAI 2017 Workshops (bib) |
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S. Albarqouni, J. Fotouhi, N. Navab
X-ray In-Depth Decomposition: Revealing The Latent Structures Accepted to Proceedings of the 20th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Quebec, Canada, September 2017 A pre-print version is available online at arXiv. (bib) |
| M. Bui, S. Albarqouni, M. Schrapp, N. Navab, S. Ilic
X-ray PoseNet?: 6 DoF? Pose Estimation for Mobile X-ray Devices Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV), Mar 24, 2017 - Mar 31, 2017, Santa Rosa, USA The first two authors contribute equally to this paper. (bib) |
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C. Baur, S. Albarqouni, N. Navab
Semi-Supervised Learning for Fully Convolutional Networks Accepted to Proceedings of the 20th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Quebec, Canada, September 2017 A pre-print version is available online at arXiv. The first two authors contribute equally to this paper. (bib) |
| 2016 | |
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S. Albarqouni, S. Matl, M. Baust, N. Navab, S. Demirci
Playsourcing: A Novel Concept for Knowledge Creation in Biomedical Research Proceedings of MICCAI Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis, Athens, Greece, October 2016 The first two authors contribute equally to this paper. (bib) |
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C. Baur, S. Albarqouni, S. Demirci, N. Navab, P. Fallavollita
CathNets: Detection and Single-View Depth Prediction of Catheter Electrodes 7th International Conference on Medical Imaging and Augmented Reality (MIAR), 24-26 August, 2016, Bern, Switzerland. (Best Paper Award) (bib) |
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S. Albarqouni, U. Konrad, L. Wang, N. Navab, S. Demirci
Single-View X-Ray Depth Recovery: Towards a Novel Concept for Image-Guided Interventions International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2016, June 2016, Volume 11, Issue 6, pp 873-880. (bib) |
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S. Albarqouni, C. Baur, F. Achilles, V. Belagiannis, S. Demirci, N. Navab
AggNet: Deep Learning from Crowds for Mitosis Detection in Breast Cancer Histology Images IEEE Transactions on Medical Imaging (TMI), Special Issue on Deep Learning, vol. 35, no. 5, pp. 1313 - 1321, 2016. The first two authors contribute equally to this paper. (bib) |
| A. Vahadane, T. Peng, A. Sethi, S. Albarqouni, L. Wang, M. Baust, K. Steiger, A. M. Schlitter, I. Esposito, N. Navab
Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images IEEE Transactions on Medical Imaging (TMI), vol. 35, no. 8, pp. 1962 - 1971, 2016. (bib) |
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| 2015 | |
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S. Albarqouni, M. Baust, S. Conjeti, A. Al-Amoudi, N. Navab
Multi-scale Graph-based Guided Filter for De-noising Cryo-Electron Tomographic Data Proceedings of the British Machine Vision Conference (BMVC), pages 17.1-17.10. BMVA Press, September 2015 (bib) |
| A. Vahadane, T. Peng, S. Albarqouni, M. Baust, K. Steiger, A. M. Schlitter, A. Sethi, I. Esposito, N. Navab
Structure-Preserved Color Normalization for Histological Images International Symposium on Biomedical Imaging (ISBI): From Nano to Macro, New York, USA, April 2015 (bib) |
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| 2014 | |
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S. Albarqouni, T. Lasser, W. Alkhaldi, A. Al-Amoudi, N. Navab
Gradient Projection for Regularized Cryo-Electron Tomographic Reconstruction Proceedings of MICCAI Workshop on Computational Methods for Molecular Imaging, Boston, USA, September 2014. (bib) |
