Shape-aware Segmentation of the Placenta in BOLD Fetal MRI Time Series

S. Mazdak AbulnagaCSAIL/EECS, Massachusetts Institute of Technology, Cambridge, MA, USA
MGH/HST Martinos Center for Biomedical Imaging, Harvard Medical School, Boston, MA, USA, Neel DeyCSAIL, Massachusetts Institute of Technology, Cambridge, MA, USA, Sean I. YoungMGH/HST Martinos Center for Biomedical Imaging, Harvard Medical School, Boston, MA, USA
CSAIL, Massachusetts Institute of Technology, Cambridge, MA, USA, Eileen PanCSAIL/EECS, Massachusetts Institute of Technology, Cambridge, MA, USA, Katherine I. HobgoodCSAIL, Massachusetts Institute of Technology, Cambridge, MA, USA, Clinton J. WangCSAIL/EECS, Massachusetts Institute of Technology, Cambridge, MA, USA, P. Ellen GrantFetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA, Esra Abaci TurkFetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA, Polina GollandCSAIL/EECS, Massachusetts Institute of Technology, Cambridge, MA, USA

A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising Models

Yunguan FuUniversity College London, UK
InstaDeep, UK, Yiwen LiUniversity of Oxford, UK, Shaheer U. SaeedUniversity College London, UK, Matthew J. ClarksonUniversity College London, UK, Yipeng HuUniversity College London, UK

Multi-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRI

Paula RamirezBiomedical Engineering and Imaging Sciences, King's College London, Alena UusBiomedical Engineering and Imaging Sciences, King's College London, Milou P.M. van PoppelBiomedical Engineering and Imaging Sciences, King's College London, Irina GrigorescuBiomedical Engineering and Imaging Sciences, King's College London, Johannes K. SteinwegBiomedical Engineering and Imaging Sciences, King's College London, David F.A. LloydBiomedical Engineering and Imaging Sciences, King's College London, Kuberan PushparajahBiomedical Engineering and Imaging Sciences, King's College London, Andrew P. KingBiomedical Engineering and Imaging Sciences, King's College London, Maria DeprezBiomedical Engineering and Imaging Sciences, King's College London

Towards Early Prediction of Human iPSC Reprogramming Success

Abhineet SinghDepartment of Computing Science, University of Alberta, Ila JasraAlberta Diabetes Institute, University of Alberta, Omar MouhammedAlberta Diabetes Institute, University of Alberta, Nidheesh DadheechAlberta Diabetes Institute, University of Alberta, Nilanjan RayDepartment of Computing Science, University of Alberta, James ShapiroAlberta Diabetes Institute, University of Alberta

Morphologically-Aware Consensus Computation via Heuristics-based IterATive Optimization (MACCHIatO)

Dimitri HamzaouiUniversité Côte d’Azur, Inria, Epione Team, Sophia Antipolis, France, Sarah MontagneAcademic Department of Radiology, Hôpital Pitié-Salpétrière, Assistance Publique des Hôpitaux de Paris, Paris, France, Raphaële Renard-PennaAcademic Department of Radiology, Hôpital Pitié-Salpétrière, Assistance Publique des Hôpitaux de Paris, Paris, France
GRC 5 Predictive Onco-Urology, Sorbonne University, Paris, France, Nicholas AyacheUniversité Côte d’Azur, Inria, Epione Team, Sophia Antipolis, France, Hervé DelingetteUniversité Côte d’Azur, Inria, Epione Team, Sophia Antipolis, France

Weakly Supervised Intracranial Hemorrhage Segmentation using Head-Wise Gradient-Infused Self-Attention Maps from a Swin Transformer in Categorical Learning

Amirhossein RasoulianDepartment of Computer Science and Software Engineering, Concordia University, Montreal, QC, Canada, Soorena SalariDepartment of Computer Science and Software Engineering, Concordia University, Montreal, QC, Canada, Yiming XiaoDepartment of Computer Science and Software Engineering, Concordia University, Montreal, QC, Canada

Learning Interpretable Microscopic Features of Tumor by Multi-task Adversarial CNNs To Improve Generalization

Mara GrazianiUniversity of Applied Sciences Western Switzerland (HES-SO Valais), 3960, Sierre, Switzerland
University of Geneva (UNIGE), Department of Computer Science (CUI), 1227, Carouge, Switzerland, Sebastian OtáloraUniversity of Applied Sciences Western Switzerland (HES-SO Valais), 3960, Sierre, Switzerland
University of Geneva (UNIGE), Department of Computer Science (CUI), 1227, Carouge, Switzerland, Stéphane Marchand-MailletUniversity of Applied Sciences Western Switzerland (HES-SO Valais), 3960, Sierre, Switzerland, Henning MüllerUniversity of Applied Sciences Western Switzerland (HES-SO Valais), 3960, Sierre, Switzerland
University of Geneva (UNIGE), Department of Computer Science (CUI), 1227, Carouge, Switzerland, Vincent AndrearczykUniversity of Applied Sciences Western Switzerland (HES-SO Valais), 3960, Sierre, Switzerland

Bayesian Optimization of Sampling Densities in MRI

Alban GossardInstitut de Mathématiques de Toulouse (IMT); UMR5219; Université de Toulouse; CNRS, France
Université Paul Sabatier, F-31062 Toulouse Cedex 9, France, Frédéric de GournayInstitut de Mathématiques de Toulouse (IMT); UMR5219; Université de Toulouse; CNRS, France
INSA de Toulouse; F-31077 Toulouse, France, Pierre WeissInstitut de Mathématiques de Toulouse (IMT); UMR5219; Université de Toulouse; CNRS, France
Université de Toulouse, CNRS
Centre de Biologie Intégrative (CBI), Laboratoire MCD, F-31062 Toulouse Cedex, France

Pathology Synthesis of 3D-Consistent Cardiac MR Images using 2D VAEs and GANs

Sina AmirrajabDepartment of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands, Yasmina Al KhalilDepartment of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands, Cristian LorenzPhilips Research Laboratories, Hamburg, Germany, Jürgen WeesePhilips Research Laboratories, Hamburg, Germany, Josien PluimDepartment of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands, Marcel BreeuwerDepartment of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
Philips Healthcare, MR R&D - Clinical Science, Best, The Netherlands

Deep Learning for Ultrasound Speed-of-Sound Reconstruction: Impacts of Training Data Diversity on Stability and Robustness

Farnaz Khun JushTechnology Excellence, Siemens Healthcare GmbH, Erlangen, Germany
Pattern Recognition Lab, Friedrich-Alexander-University, Erlangen, Germany, Markus BieleTechnology Excellence, Siemens Healthcare GmbH, Erlangen, Germany, Peter M. DueppenbeckerTechnology Excellence, Siemens Healthcare GmbH, Erlangen, Germany, Andreas MaierPattern Recognition Lab, Friedrich-Alexander-University, Erlangen, Germany

Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient

Effect of latent space distribution on the segmentation of images with multiple annotations

Ishaan BhatImage Sciences Institute, University Medical Center Utrecht, The Netherlands, Josien P.W. PluimDepartment of Biomedical Engineering, Eindhoven University of Technology, The Netherlands, Max A. ViergeverImage Sciences Institute, University Medical Center Utrecht, The Netherlands, Hugo J. KuijfImage Sciences Institute, University Medical Center Utrecht, The Netherlands

Multi-Scale Feature Fusion using Parallel-Attention Block for COVID-19 Chest X-ray Diagnosis

Xiao QiDepartment of Electrical and Computer Engineering, Rutgers Univeristy, New Brunswick, NJ, USA, David J. ForanRutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA, John L. NosherDepartment of Radiology, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA, Ilker HacihalilogluDepartment of Radiology, The University of British Columbia, BC, Canada
Department of Medicine, The University of British Columbia, BC, Canada

Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection

Ashay PatelKing’s College London, Petru-Danial TudiosuKing’s College London, Walter H.L. PinayaKing’s College London, Gary CookKing’s College London, Vicky GohKing’s College London, Sebastien OurselinKing’s College London, M. Jorge CardosoKing’s College London

Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey

Jérôme RonyLIVIA, Dept. of Systems Engineering, École de technologie supérieure, Montreal, Canada, Soufiane BelharbiLIVIA, Dept. of Systems Engineering, École de technologie supérieure, Montreal, Canada, Jose DolzLIVIA, Dept. of Software and IT Engineering, École de technologie supérieure, Montreal, Canada, Ismail Ben AyedLIVIA, Dept. of Systems Engineering, École de technologie supérieure, Montreal, Canada, Luke McCaffreyGoodman Cancer Research Centre, Dept. of Oncology, McGill University, Montreal, Canada, Eric GrangerLIVIA, Dept. of Systems Engineering, École de technologie supérieure, Montreal, Canada

Focused Decoding Enables 3D Anatomical Detection by Transformers

Bastian WittmannDepartment of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland, Fernando NavarroDepartment of Informatics, Technical University of Munich, Munich, Germany, Suprosanna ShitDepartment of Informatics, Technical University of Munich, Munich, Germany, Bjoern MenzeDepartment of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland

Automated Cardiac Resting Phase Detection Targeted on the Right Coronary Artery