Please note this programme may be subject to change
Themes
- Image interpretation
- Radiomics, Predictive models and Quantitative imaging
- Image classification
- Biomarker detection
Day 1 - Wednesday 19th July 2023
12:00 – 17:30 Registration with Lunch from 12:00 until 13:00
13:00 – 13:15 Official Welcome - Gordon Waiter
13:15 – 14:15 Keynote Lecture 1 - Tim Cootes
Applications of Medical Image Analysis in Musculoskeletal Disease
14:15 – 15:00 Poster Talks 1 | Session Chair - Tryphon Lambrou
Time | Title | Presenting Author |
14:15 |
Weakly supervised pre-training for brain tumour segmentation using principal axis measurements of tumour burden |
Joshua E Mckone |
14:30 |
Enhancing Generalization of CNN Models for Breast Lesion Classification from Ultrasound Images |
Tahir Hassan |
14:45 |
Medical Image Anonymisation |
Guneet Kaur |
15:00 – 15:45 Coffee/Tea
15:45 – 17:00 Oral Session 1 | Session Chair - Maria Valdes Hernandez
Time | Title | Presenting Author |
15:45 |
Segmentation of White Matter Hyperintensities and Ischaemic Stroke Lesions in Structural MRI |
Jesse Phitidis |
16:00 |
A Deep Learning Based Approach to Semantic Segmentation of Lung Tumour Areas in Gross Pathology Images |
Matthew Gil |
16:15 |
Iterative Refinement Algorithm for Liver Segmentation Ground-Truth Generation using Fine-Tuning Weak Labels for CT and Structural MRI |
Merna Bibars |
16:30 |
M-VAAL: Multimodal Variational Adversarial Active Learning for Downstream Medical Image Analysis Tasks |
Bidur Khanal |
16:45 |
BliMSR: Blind degradation modelling for generating high-resolution medical images |
Tapabrata Chakraborty |
18:30 – 20:00 Civic Hosted Welcome Reception at the Aberdeen Town House, Broad St, Aberdeen AB10 1AQ
Day 2 - Thursday 20th July 2023
08:30 – 17:30 Registration
09:00 – 10:00 Keynote Lecture 2 - Greg Slabaugh
Multimodal AI for Integrative Precision Healthcare
10:00 – 10:45 Poster Talks 2 | Session Chair - Binod Bhattarai
Time | Title | Presenting Author |
10:00 |
Cubic Bézier curve approximation for the accurate estimation of perivascular spaces morphometrics in brain MRI |
Roberto Duarte Coello |
10:15 |
Stain-Invariant Representation for Tissue Classification in Histology Images |
Manahil Raza |
10:30 |
Variation in Mammography Imaging Equipment Impacts Artificial Intelligence Performance in Breast Cancer Screening |
Clarisse de Vries |
10:45 – 11:15 Coffee/Tea and Posters
11:15 – 12:30 Oral Session 2 | Session Chair - Anca Sandu-Giuraniuc
Time | Title | Presenting Author |
11:15 | Efficient Semantic Segmentation of Nuclei in Histopathology Images Using Segformer |
Mostafa Ahmed (Recording) |
11:30 |
Cross-Modality Deep Transfer Learning: Application to Liver Segmentation in CT and MRI |
Peter Emad Salah (Recording) |
11:45 |
Can SegFormer be a True Competitor to U-Net for Medical Image Segmentation? |
Hasany Syed Nouman |
12:00 | Harnessing the Potential of Deep Learning for Total Shoulder Implant Classification: A Comparative Study |
Aakriti Mishra (Recording) |
12:15 |
Deep Facial Phenotyping with Mixup Augmentation |
Jonathan Campbell |
12:30 – 13:30 Lunch and Posters
13:30 – 15:15 Oral Session 3 | Session Chair - Gordon Waiter
Time | Title | Presenting Author |
13:30 |
Atrial Fibrillation Prediction in Population with Ischemic Heart Disease using Machine Learning with Radiomics and ECG Markers |
Esmeralda Ruiz Pujadas |
13:45 |
Context Matters: Cross-domain Cell Detection in Histopathology Images via Contextual Regularization |
Ziqi Wen (Recording) |
14:00 |
TON-ViT: A Neuro-Symbolic AI based on Task Oriented Network with a Vision Transformer |
Yupeng Zhuo |
14:15 |
A new similarity metric for deformable registration of MALDI-MS and MRI images |
Florent Grélard |
14:30 |
Decoding Individual and Shared Experiences of Media Perception using CNN architectures |
Riddhi Johri |
14:45 |
Revolutionizing Cancer Diagnosis through Hybrid Self-supervised Deep Learning: EfficientNet with Denoising Autoencoder for Semantic Segmentation of Histopathological Images |
Mostafa Ahmed (Recording) |
15:00 |
Baseline Models for Action Recognition of Unscripted Casualty Care Dataset |
Yupeng Zhuo |
15:15 – 15:45 Coffee/Tea and Posters
15:45 – 16:45 Keynote Lecture 3 - Michael Kampffmeyer
Learning from limited labeled data for few-shot medical image segmentation (and beyond)
19:00 for 19:30 until 22:00 Conference Dinner at the Sandman Signature Aberdeen Hotel & Spa, St. Andrew Street, Aberdeen, AB25 1AD
Day 3 - Friday 21st July 2023
08:30 – 12:30 Registration
09:00 – 10:00 Keynote Lecture 4 - Lesley Anderson
Artificial Intelligence use in Digital Diagnostics – findings from the iCAIRD (Industrial Centre for Artificial Intelligence Research in Digital Diagnostics) Consortium
10:00 – 10:30 Coffee/Tea and Posters
10:30 – 11:45 Oral Session 4 | Session Chair - Clarisse De Vries
Time | Title | Presenting Author |
10:30 |
Web-based AI System for Medical Image Segmentation |
Taowen Liu |
10:15 | A new approach for identifying skin diseases from dermatological RGB images using source separation |
Mustapha Zokay (Recording) |
10:30 |
Pseudo-SPR map Generation from MRI using U-Net Architecture for Ion Beam Therapy Application |
Ama Katseena Yawson |
10:45 |
Generalised 3D Medical Image Registration with Learned Shape Encodings |
Christoph Großbröhmer |
11:00 |
Retinal Image Screening with Topological Machine Learning |
Baris Coskunuzer (Recording) |
11:15 | Neural Network Pruning for Real-time Polyp Segmentation |
Binod Bhattarai |
11:30 |
A Novel Approach to Breast Cancer Segmentation using U-Net Model with Attention Mechanisms and FedProx Algorithm |
Mustafa Abou Khatwa (Recording) |
11:45 | Super Images - A New 2D Perspective on 3D Medical Imaging Analysis |
Mohammad Yaqub |
12:00 – 12:30 Close and Prizes - Gordon Waiter
Packed lunches will be available to grab & go
12:30 Onwards - Optional Walking Tour (pre-booking required)
The coach departs from Suttie Centre drop off point from 12:45 or when everyone on the tour is on the bus; please head to the help desk promptly after closing speeches and after picking up your packed lunch, the helpers will guide you to the coach location.