Sketchpose: Learning to Segment Cells with Partial Annotations

Clément CazorlaInstitut de Recherche en Informatique de Toulouse (IRIT), Institut de Mathématiques de Toulouse (IMT), Centre de Biologie Intégrative (CBI), Laboratoire de Biologie Moléculaire, Cellulaire et du Développement (MCD), Université de Toulouse, CNRS, Université Toulouse III – Paul Sabatier, Toulouse, France
Imactiv-3D, Centre Pierre Potier, 1 place Pierre Potier, 31100 Toulouse, France, Nathanaël MunierInstitut de Recherche en Informatique de Toulouse (IRIT), Institut de Mathématiques de Toulouse (IMT), Centre de Biologie Intégrative (CBI), Laboratoire de Biologie Moléculaire, Cellulaire et du Développement (MCD), Université de Toulouse, CNRS, Université Toulouse III – Paul Sabatier, Toulouse, France, Renaud MorinImactiv-3D, Centre Pierre Potier, 1 place Pierre Potier, 31100 Toulouse, France, Pierre WeissInstitut de Recherche en Informatique de Toulouse (IRIT), Institut de Mathématiques de Toulouse (IMT), Centre de Biologie Intégrative (CBI), Laboratoire de Biologie Moléculaire, Cellulaire et du Développement (MCD), Université de Toulouse, CNRS, Université Toulouse III – Paul Sabatier, Toulouse, France

A Neural Conditional Random Field Model Using Deep Features and Learnable Functions for End-to-End MRI Prostate Zonal Segmentation

Alex Ling Yu HungComputer Science Department, UCLA, Los Angeles, CA, USA
Department of Radiological Sciences, UCLA, Los Angeles, CA, USA, Kai ZhaoDepartment of Radiological Sciences, UCLA, Los Angeles, CA, USA, Kaifeng PangElectrical Engineering Department, UCLA, Los Angeles, CA, USA
Department of Radiological Sciences, UCLA, Los Angeles, CA, USA, Haoxin ZhengComputer Science Department, UCLA, Los Angeles, CA, USA
Department of Radiological Sciences, UCLA, Los Angeles, CA, USA, Xiaoxi DuBioengineering Department, UCLA, Los Angeles, CA, USA, Qi MiaoDepartment of Radiological Sciences, UCLA, Los Angeles, CA, USA, Demetri TerzopoulosComputer Science Department, UCLA, Los Angeles, CA, USA
VoxelCloud, Inc., Los Angeles, CA, USA, Kyunghyun SungDepartment of Radiological Sciences, UCLA, Los Angeles, CA, USA

Robust deformable image registration using synthetic data and transfer learning

Iris D. KolenbranderIMAG/e Group, Department of Biomedical Engineering, Eindhoven University of Technology, The Netherlands
Eindhoven Artificial Intelligence Systems Institute, Eindhoven University of Technology, The Netherlands, Matteo MasperoComputational Imaging Group for MR Diagnostics & Therapy, University Medical Center Utrecht, The Netherlands
Department of Radiotherapy,University Medical Center Utrecht, The Netherlands, Josien P.W. PluimIMAG/e Group, Department of Biomedical Engineering, Eindhoven University of Technology, The Netherlands

Synthetic Data for Robust Stroke Segmentation

Liam ChalcroftWellcome Centre for Human Neuroimaging, University College London, Ioannis PappasUniversity of Southern Californa, Cathy J. PriceWellcome Centre for Human Neuroimaging, University College London, John AshburnerWellcome Centre for Human Neuroimaging, University College London