Scientific Program

Aims and Scope

Submissions are invited in all areas of biomedical image registration. Topics of interest include, but are not limited to:
 

Novel registration methodology: Learning-based methods, combinations of learning and non-learning techniques and conventional approaches. 2D/3D/4D, spatiotemporal/dynamic, pairwise / groupwise, slice-to-volume, projective, single/multi-modal, intra/inter-subject, model-based, patch-based, multi-channel, tracking. 

Machine learning and deep learning techniques for registration: unsupervised / supervised / reinforcement learning, convolutional / recurrent / transformer networks, cost correlation, neural networks for feature extraction and matching, correspondence weighting and prediction, attention modeling, deformation learning, deep encoder-decoder networks

Optimisation and mathematical aspects of image registration: continuous/discrete optimization, real-time, similarity measures, diffeomorphisms, LDDMM, stationary velocity, inverse consistency, multi-scale, graphical models

Biomedical applications of registration: computer-assisted interventions, image-guided therapy, treatment planning/delivery, diagnosis/prognosis, atlas-based segmentation, label fusion, histopathology correlation, serial studies, pathology detection and localization, morphometry, biomechanics, image retrieval/restoration/fusion, imaging biomarkers for precision medicine, radiomics & radiogenomics, early proofs of concept

Validation of registration: quantitative and qualitative methods, benchmarking, comparison studies, phantom studies, correlation to outcome, validation protocols and performance metrics, uncertainty estimation

Motion modelling, simulations and motion reconstruction

Tentative Programme

 

Workshop on Biomedical Image Registration 2022

Sunday 10th July (Klinikum rechts d. Isar)   Monday 11th July (TUM Campus Garching)   Tuesday 12th July (TUM Campus Garching)  
    10:00 - 10:15 Opening Prof. Dr. Julia Schnabel 09:15 - 10:00 Keynote Dr. Wolfgang Wein
    10:15 - 11:00 S1 Short Orals Chairs: Dr. Veronika Zimmer (TUM) / Dr. Matthew Toews (ÉTS) 10:00 - 10:45 S3 Short Orals Chairs: Prof. Žiga Špiclin
(Ljubljana) / Tony Mok (CUHK)
    11:00 - 11:15 break 10:45 - 11:00 break
    11:15 - 12:15 L1 Orals: Topology / Atlases Chairs: Dr. Veronika Zimmer (TUM) / Dr. Stefan Heldmann (MEVIS) 11:00 - 12:00 L4 Orals: Optimisation Chairs: Prof. Žiga Špiclin
(Ljubljana) / Tony Mok (CUHK)
    12:15 - 13:00 Keynote Prof. Dr. Josien Pluim 12:00 - 12:45 Keynote Prof. Dr. Maria Vakalopoulou
    13:00 - 14:00 break 12:15 - 13:00 break
14:00 - 15:30 Tutorial: Medical Image Registration Dr. Veronika Zimmer 14:00 - 14:30 S2 Short Orals Chairs: Prof. Stefan Klein (Erasmus), Prof. Xiahai Zhang (Fudan) 13:00 - 14:00 L5 Orals: Metrics / Losses Chairs: Alessa Hering (Radboud) / Prof. Adrian Dalca (Harvard/MIT)
  14:30 - 15:30 L2 Orals: Uncertainty Chairs: Prof. Stefan Klein (Erasmus), Prof. Pew-Thian Yap (UNC) 14:00 - 14:15 Awards Prof. Dr. Daniel Rueckert
15:30 - 16:00 break 15:30 - 15:45 break 14:15 - 15:15 Poster
16:00 - 18:00 Learn2Reg Challenge Prof. Mattias Heinrich 15:45 - 16:45 L3 Orals: Architectures Chairs: Dr. Raphael Prevost (ImFusion), Prof. Kilian Pohl (Stanford)
  16:45 - 17:45 Poster
 
    19:00 - Conference Dinner: Paulaner Nockherberg

 

 

L1 Orals: Atlases / Topology Julia Andresen: Unsupervised Non-Correspondence Detection in Medical Images Using an Image Registration Convolutional Neural Network
Mon 11:15-12:15 Anton François: Weighted Metamorphosis for registration of images with different topology
Ubaldo Ramon Julvez: LDDMM meets GANs: Generative Adversarial Networks for diffeomorphic registration
Wietske Bastiaansen: Towards a 4D Spatio-Temporal Atlas of the Embryonic and Fetal Brain using a Deep Learning approach for Groupwise Image Registration

 

L2 Orals: Uncertainty Christian Weihsbach: DeepSTAPLE: Learning to predict multimodal registration quality for unsupervised domain adaptation
Mon 14:30-15:30 Alphin J Thottupattu: A method for image registration via broken geodesics
Andreas Smolders: Deformable Image Registration uncertainty quantification using deep learning for dose accumulation in adaptive proton therapy
Frithjof Kruggel: Distinct structural patterns of the human brain: A caveat for registration

 

L3 Orals: Architectures Samuel Joutard: A multi-organ point cloud registration algorithm for abdominal CT registration
Mon 15:45-16:45 Mattias P Heinrich: Voxelmorph++ Going beyond the cranial vault with keypoint supervision and multi-channel instance optimisation
Junyu Chen: Unsupervised Learning of Diffeomorphic Image Registration via TransMorphn
Sean I. Young, Yaël Balbastre: SuperWarp: Supervised Learning and Warping on U-Net for Invariant Subvoxel-Precise Registration

 

L4 Orals: Optimisation Hanna Siebert: Learn to fuse input features for large-deformation registration with differentiable convex-discrete optimisation
Tue 11:00-12:00 Oezdemir Cetin: Multi-magnification networks for deformable image registration on histopathology images
Till Nicke: Real-time optical flow estimation on vein and artery ultrasound sequences based on knowledge-distillation
Fenja Falta: Learning iterative optimisation for deformable image registration with recurrent convolutional networks

 

L5 Orals: Metrics / Losses Ivor J A Simpson: Motion Correction in low SNR MRI using an approximate Rician log-likelihood
Tue 13:00-14:00 Johan Öfverstedt: Cross-Sim-NGF: FFT-Based Global Rigid Multimodal Alignment of Image Volumes using Normalized Gradient Fields
Justinas Antanavicius, Raghavendra Selvan: Identifying Partial Mouse Brain Microscopy Images from the Allen Reference Atlas using a Contrastively Learned Semantic Space
Xinrui Song: Transformed Grid Distance Loss for Supervised Image Registration

 

S1 Short Orals Jing Zou: Deformable Lung CT Registration by Decomposing the Large Deformation
Mon 10:15-11:00 Alexander Bigalke: A novel Mean Teacher framework for domain adaptive lung registration
Lihao Liu: You Only Look at Patches: A Patch-wise Framework for 3D Unsupervised Medical Image Registration
Zicong Zhou: Recent Developments of an Optimal Control approach to Nonrigid Image Registration

 

S2 Short Orals Batool Abbas: 2D/3D Intermodel Registration of Quantitative Magnetic Resonance Images
Mon 14:00-14:30 Andjela Dimitrijevic: Deep Learning-based Longitudinal Intra-subject Registration of Pediatric Brain MR Images
Neha Goyal: Real-time Alignment for Connectomics

 

S3 Short Orals Philippe Weitz, Leslie Solorzano: ACROBAT - Automatic Registration of Breast Cancer Tissue
Tue 10:00-10:45 Mona Schumacher: Weak Bounding Box Supervision for Image Registration Networks
Annkristin Lange: A deformable image-based registration approach to obtain shape correspondence for statistical shape modeling of finger bones

 

List of Accepted Long Papers

Title

Authors

Affiliation (first author)

LDDMM meets GANs: Generative Adversarial Networks for diffeomorphic registration

Ubaldo Ramon Julvez|Monica Hernandez|Elvira Mayordomo

Universidad de Zaragoza

Cross domain knowledge compression in realtime optical flow prediction on ultrasound sequences

Till Nicke|Laura Graf|Mikko Lauri|Sven Mischkewitz|Simone Frintrop|Mattias P Heinrich

Fraunhofer MEVIS Lübeck

Cross-Sim-NGF: FFT-Based Global Rigid Multimodal Alignment of Image Volumes using Normalized Gradient Fields

Johan Öfverstedt|Joakim Lindblad|Natasa Sladoje

Uppsala University

Multi-magnification networks for deformable image registration on histopathology images

Oezdemir Cetin|Yiran Shu|Nadine Flinner|Paul Ziegler|Peter Wild|Heinz Koeppl

Technische Universität Darmstadt

Deformable Image Registration uncertainty quantification using deep learning for dose accumulation in adaptive proton therapy

Andreas Smolders|Antony lomax|Damien Charles Weber|Francesca Albertini

ETH Zurich

DeepSTAPLE: Learning to predict multimodal registration quality for unsupervised domain adaptation

Christian Weihsbach|Alexander Bigalke|Christian N. Kruse|Hellena Hempe|Mattias P Heinrich

Universität zu Lübeck

A multi-organ point cloud registration algorithm for abdominal CT registration

Samuel Joutard|Thomas Pheiffer|Chloe Audigier|Patrick Wohlfahrt|Reuben Dorent|Sebastien Piat|Markus Juergens|Tom Vercauteren|Marc Modat|Tommaso Mansi

King's College London

A method for image registration via broken geodesics

Alphin J Thottupattu|Jayanthi Sivaswamy|Venkateswaran P. Krishnan

International Institute of Information Technology Hyderabad

Voxelmorph++ Going beyond the cranial vault with keypoint supervision and multi-channel instance optimisation

Mattias P Heinrich|Lasse Hansen

Universität zu Lübeck

Motion Correction in low SNR MRI using an approximate Rician log-likelihood

Ivor J A Simpson|Balazs Orzsik|Iris Asllani|Mara Cercignani

University of Sussex

Weighted Metamorphosis for registration of images with different topology.

Anton François|Matthis Maillard|Catherine Oppenheim|Johan Pallud|Pietro Gori|Joan Alexis Glaunès

University Paris Descartes

Identifying Partial Mouse Brain Microscopy Images from the Allen Reference Atlas using a Contrastively Learned Semantic Space

Justinas Antanavicius|Roberto Leiras|Raghavendra Selvan

University of Copenhagen