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MIDL 2024

118 papers

Pretraining Vision-Language Model for Difference Visual Question Answering in Longitudinal Chest X-rays

Yeongjae Cho, TaeHee Kim, Heejun Shin, Sungzoon Cho, Dongmyung Shin

MFIF-Net: A Multi-Focal Image Fusion Network for Implantation Outcome Prediction of Blastocyst

Yi Cheng, Tingting Chen, Yaojun Hu, Xiangqian Meng, Zuozhu Liu

Learned morphological features guide cell type assignment of deconvolved spatial transcriptomics

Eduard Chelebian, Christophe Avenel, Julio Leon, Chung-Chau Hon, Carolina Wählby

Evaluating ChatGPT’s Performance in Generating and Assessing Dutch Radiology Report Impressions

Luc Builtjes, Monique Brink, Souraya Belkhir, Bram van Ginneken, Alessa Hering

Video-CT MAE: Self-supervised Video-CT Domain Adaptation for Vertebral Fracture Diagnosis

Lukas Buess, Marijn F. Stollenga, David Schinz, Benedikt Wiestler, Jan Kirschke

Network conditioning for synergistic learning on partial annotations

Benjamin Billot, Neel Dey, Esra Abaci Turk, Ellen Grant, Polina Golland

Combining Reconstruction-based Unsupervised Anomaly Detection with Supervised Segmentation for Brain MRIs

Finn Behrendt, Debayan Bhattacharya, Lennart Maack, Julia Kruger, Roland Opfer

HoVer-NeXt: A Fast Nuclei Segmentation and Classification Pipeline for Next Generation Histopathology

Elias Baumann, Bastian Dislich, Josef Lorenz Rumberger, Iris D. Nagtegaal, María Rodríguez Martínez

FluidRegNet: Longitudinal registration of retinal OCT images with new pathological fluids

Julia Andresen, Jan Ehrhardt, Claus von der Burchard, Ayse Tatli, Johann Roider

Interpretable Uncertainty-Aware Deep Regression with Cohort Saliency Analysis for Three-Slice CT Imaging Studies

Nouman Ahmad, Johan Öfverstedt, Sambit Tarai, Göran Bergström, Håkan Ahlström

Preface for International Conference on Medical Imaging with Deep Learning 2024

Ninon Burgos, Caroline Petitjean, Maria Vakalopoulou, Stergios Christodoulidis, Pierrick Coupe