We will post the program when the definite timeslots are available.
We confirm that the workshop is on day one: MICCAI workshops.

                                  ShapeMI 2024 Program (PDF)

8:00 - 9:00 Registration

In-person session (Oral Presentations)

(live presentations in a conference room)

8:30 - 8:40 Opening (10 min)

8:40 - 9:55 Block 1

Time Tile
8:40 - 9:10 Object Correspondence for Shape Statistics via Skeletal Geometry (Keynote)
9:10 - 9:25
Deep Combined Computing of Vascular Images with Tubular Shape-Guided Convolution
9:25 - 9:40
Weakly Supervised Bayesian Shape Modeling from Unsegmented Medical Images
9:40 - 9:55
Fast Medical Shape Reconstruction via Meta-learned Implicit Neural Representations

9:55 - 10:15 Coffee break
10:15 - 10:45 Poster session


10:45 - 12:30 Block 2

Time Tile
10:45 - 11:15 Statistical Shape Analysis of Complex Natural Structures (Keynote)
11:15 - 11:30
Deformable vertebra 3D/2D registration from biplanar X-rays using particle-based shape modelling
11:30 - 11:45
Enhancing Multimodal Image-Based Classification of Alzheimer’s Disease with Surface Information
11:45 - 12:00
MASSM: An End-to-End Deep Learning Framework for Multi-Anatomy Statistical Shape Modeling Directly From Images

12:00 - 12:30 Adjourn / Lunch

Virtual on-demand session (Poster Pitches)

(virtual pitch presentations and live on-site poster session)

PSGMM: Pulmonary Segment Segmentation Based on Gaussian Mixture Model -- Video Pitch / Poster
Implicitly Explicit: Segmenting Vertebrae with Deep Implicit Statistical Shape Models -- Video Pitch / Poster

3D Body Twin: Improving Human Gait Visualizations Using Personalized Avatars -- Video Pitch / Poster

Robust Curve Detection in Volumetric Medical Imaging via Attraction Field -- Video Pitch / Poster

A Critical Comparison Between Template-Based and Architecture-Reused Deep Learning Methods for Generic 3D Landmarking of Anatomical Structures -- Video Pitch / Poster

Adaptive Bi-ventricle Surface Reconstruction from Cardiovascular Imaging -- Video Pitch / Poster

Leveraging Expert Knowledge for Real-time Online Adaptation of Intraoperative Liver Registration -- Video Pitch / Poster

LaMoD: Latent Motion Diffusion Model For Myocardial Strain Generation -- Video Pitch / Poster

Towards Point Cloud-Based Medical Image Registration for Dynamic 4D-CT Imaging -- Video Pitch / Poster

Application of Deep Statistical Shape Modeling for Analysis of Obstructive Sleep Apnea from MRI Data -- Video Pitch / Poster

                                  ShapeMI 2023 Program (PDF)


8:00 - 9:00 Registration

In-person session (Oral Presentation)

(live presentations in a conference room with ZOOM streaming)

9:00 - 9:10 Opening (10 min)

9:10 - 10:30 Block 1 - Deep Learning in Medical Shape Analysis

Time Tile
9:10 - 9:40 Shaping up: Introduction to Shape Analysis (Keynote) Slides
9:40 - 9:55
SADIR: Shape-Aware Diffusion Models for 3D Image Reconstruction
9:55 - 10:10
Anatomy Completor: A Multi-class Completion Framework for 3D Anatomy Reconstruction
10:10 - 10:25
Anatomy-Aware Masking for Inpainting in Medical Imaging

10:30 - 10:45 Coffee break

10:45 - 12:00 Block 2 - Shape Methods

Time Tile
10:45 - 11:15 Deep Neural Networks To Analyze Deformable Shapes From Images (Keynote) Slides
11:15 - 11:30
Particle-Based Shape Modeling for Arbitrary Regions-of-Interest
11:30 - 11:45
Predicting Shape Development: A Riemannian Method
11:45 - 12:00
3D Shape Analysis of Scoliosis

12:00 - 13:00 Adjourn / Lunch

Virtual session (Poster Pitch)

(virtual presentations via ZOOM and live Q&A)

Time Tile                                     
13:00 - 13:05
C3Fusion: Consistent Contrastive Colon Fusion, Towards Deep SLAM in Colonoscopy
13:05 - 13:10
Optimal coronary artery segmentation based on transfer learning and UNet architecture
13:10 - 13:15
Unsupervised Learning of Cortical Surface Registration using Spherical Harmonics
13:15 - 13:20
Unsupervised correspondence with combined geometric learning and imaging for radiotherapy applications
13:20 - 13:25
ADASSM: Adversarial Data Augmentation in Statistical Shape Models From Images
13:25 - 13:30
Body Fat Estimation from Surface Meshes using Graph Neural Networks
13:30 - 13:35
Geometric Learning-Based Transformer Network for Estimation of Segmentation Errors
13:35 - 13:40
On the Localization of Ultrasound Image Slices within Point Distribution Models
13:40 - 13:45
FSJP-Net: Foreground and Shape Joint Perception Network for Glomerulus Detection
13:45 - 13:50
Progressive DeepSSM: Training Methodology for Image-To-Shape Deep Models
13:50 - 13:55
Muscle volume quantification: guiding transformers with anatomical priors
13:55 - 14:00
Geodesic Logistic Analysis of Lumbar Spine Intervertebral Disc Shapes in Supine and Standing Positions
14:00 - 14:05
SlicerSALT: From medical images to quantitative insights of anatomy
14:05 - 14:10
AReg IOS: Automatic Registration on IntraOralScans
14:10 - 14:15
Modeling Longitudinal Optical Coherence Tomography Images for Monitoring and Analysis of Glaucoma Progression
14:15 - 14:20
IcoConv : Explainable brain cortical surface analysis for ASD classification
14:20 - 14:25
DeCA: A Dense Correspondence Analysis Toolkit for Shape Analysis