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ORCID5th MICAD 2024: Manchester, UK
- Ruidan Su, Alejandro F. Frangi, Yudong Zhang:
Proceedings of 2024 International Conference on Medical Imaging and Computer-Aided Diagnosis, MICAD 2024, Manchester, UK, November 19-21, 2024. Lecture Notes in Electrical Engineering 1372, Springer 2025, ISBN 978-981-96-3862-8
AI Based Disease Detection and Diagnosis
- Srinjan Dutta
, Jibesh Roy, Diptarka Mandal, Dmitrii I. Kaplun, Irina Shpakovskaya, Ram Sarkar:
Oral Cancer Classification Using a Hybrid Attention-Aided Deep Learning Model. 3-12 - Maria Frasca, Ilaria Cutica, Gabriella Pravettoni, Davide La Torre:
Deep Learning Frameworks for Histopathological Image Processing in Colorectal Cancer Diagnostics. 13-21 - Yun Xin Teoh, Mohamed Berrimi, Khin Wee Lai, Siew-Li Goh, Rachid Jennane:
Improving Knee Osteoarthritis Detection Through a Multitask Learning Method from 2D MRI Slices. 22-31 - Jakub Dandár, Michaela Skodová, Zdenek Straka, Daniel Kvak, Marek Biros:
Enhancing Diagnostic Accuracy in Fracture Identification on Musculoskeletal Radiographs Using Deep Learning: A Multi-Reader Retrospective Study. 32-43 - Rohan Banerjee, Sanjoy Kumar Saha, Tapabrata Chakraborti:
RetNet: A Two-Stage Deep Neural Network for Clinically Traceable Retinal Disease Classification. 44-54 - Reihaneh Maarefdoust, Douglas Currie, Bruce MacLeod, Yuqi Song, John Concannon, Samuel Frankel, Xin Zhang:
Attention-Based CNN for Enhanced Detection of Arsenic Exposure. 55-65 - David Dueñas Gaviria, Patrick Kupczyk, Belinda Lee, Peter Gibbs, Hyun Ko, Alexander Semaan, Shadi Albarqouni:
Deep Learning for Lymph Node Metastasis Detection in Pancreatic Ductal Adenocarcinoma. 66-76 - Preya Thaker, Amina Asif:
Knowledge Distillation for Enabling Efficient AI-Based Skin Cancer Detection in Resource-Constrained Environments. 77-84 - Sahar Almenwer, Hoda El-Sayed, Md Kamaruzzaman Sarker:
Classification Method in Vision Transformer with Explainability in Medical Images for Lung Neoplasm Detection. 85-99 - Triyas Ghosh, Soham Chakraborty, Dmitrii I. Kaplun, Vyacheslav Gulvanskii, Ram Sarkar:
BFuse-Net: Bonferroni Mean Operator-Aided Fusion of Neural Networks for Medical Image Classification. 100-109 - Chengyu Yang, Chengjun Liu:
Increasing Rosacea Awareness Among Population Using Deep Learning and Statistical Approaches. 110-119
Medical Image Segmentation and Reconstruction
- Mudassar Ali, Tong Wu, Maryam Mansoor, Haoji Hu:
Synth-to-Segment: MRI Brain Tumor Segmentation with Diffusion Transformers and Attention U-Net. 123-132 - Hateef Alshewaier, Yipeng Qin, Xianfang Sun:
(ExMod) Model for Medical Image Segmentation Using Scribble Annotations. 133-143 - Tianxiang Chen, Zeyu Chang, Fangyijie Wang, Ziyang Wang, Zi Ye:
LV-Mamba: Integrating Denoising Mechanism with Mamba for Improved Segmentation of the Pediatric Echocardiographic Left Ventricle. 144-153 - Jiamin Hu, Xuwei Xu, Zhenmin Zou:
LoRA-MedSAM: Efficient Medical Image Segmentation. 154-164 - Laura Valeria Perez-Herrera, Miriam Gutiérrez-Fernández-Calvillo, Iker Perez de Albeniz, Irene Joga, Andoni Beristain Iraola:
Dependency-Related Skin Lesion Bed and Periwound Segmentation Trained on Partially Annotated Clinical Images. 165-174 - Saad Wazir, Daeyoung Kim:
Rethinking the Nested U-Net Approach: Enhancing Biomarker Segmentation with Attention Mechanisms and Multiscale Feature Fusion. 175-186 - Paula Atim, Shereen Fouad, Sinling Tiffany Yu, Antonio Fratini, Arvind Rajasekaran, Pankaj Nagori, John Morlese, Bahadar Bhatia:
Explainable Deep Learning Framework for Ground Glass Opacity (GGO) Segmentation from Chest CT Scans. 187-197 - Shuai Wang, Jixian Lin, Jinhua Yu, Guoqing Wu:
Multi-statistical Features-Based 4D Spatiotemporal Level Set Model for CTP Image Segmentation. 198-209 - Hao Wu, Youzhi Xu, Xu Wang, Yulong Liu:
Deep Learning Based Segmentation of Magnetic Resonance Cardiac Images. 210-218 - Mathieu Labrunie, Daniel Pizarro, Christophe Tilmant, Adrien Bartoli:
Generic Liver Modelling with Application to Mini-invasive Surgery Guidance. 219-229 - Md Akizur Rahman, Sonit Singh, Sankaran Iyer, Alan Blair, Tae Jun Kim, Praveen Ravindran, Arcot Sowmya:
Sigmoid Colon Localisation for Acute Diverticulitis Disease Using Sigloc 3D Convolution Neural Network. 230-245 - Melina Tziomaka, Athanasios Kallipolitis, Stelios Andreadis, Anastasia Matonaki, Thanos G. Stavropoulos, Ilias Maglogiannis:
Vitiligo Skin Segmentation: An Image-Based Unsupervised Learning Approach. 246-255
AI in Personalized and Functional Imaging
- Léo Mottay, Hugo Hamon, Pierre Decazes, Sébastien Hapdey, Su Ruan:
Neural Ordinary Differential Equations for Dynamic Dual-Tracer PET Image Separation in Silico. 259-267 - Changhyun Kim, Antonio Candito, Arrigo Cattabriga, Dow-Mu Koh, Richard Lee, Matthew D. Blackledge:
Synthesising Whole-Body Diffusion-Weighted Maximum Intensity Projection Images Using Diffusion Model. 268-275 - Hanna Jönsson, Alexander Korenyushkin, Jasper J. L. van Geel, Bertha Eisses, Elisabeth G. E. de Vries, Carolina P. Schröder, Håkan Ahlström, Joel Kullberg:
Automated Whole-Body PET/CT Lesion Tracking for Lesion-Wise Response Evaluation in Metastatic Breast Cancer. 276-287 - Shervin Mehryar:
Patch-Level Up-Sampling for Multi-instance Learning in H&E Tissue Micro-Array Based Recurrence Prediction. 288-298 - Paola Martínez-Arias, Alexander Platas, Elena Zotova, Montse Cuadros, Iván Macía, Karen López-Linares:
Text-Conditioned Abdominal CT Slice Generation Using Stable Diffusion. 299-308 - Nor A. A. Mohd Nawawi, Elza Othman, Fairuz Mohd Nasir, Kamarul Amin Abdullah, Aini Ismafairus Abd Hamid, Wan M. A. Wan Mohd Yunus, Ahmad Nazlim Yusoff, Mazlyfarina Mohamad, Hamzaini Abdul Hamid, Nor S. Abdul Wahab, Mohammad F. I. L. Abdullah, Mohd N. Baharudin, Vincent Giampietro:
Subjective Craving and Brain Response to Drug-Related Cues in Former Drug Addicts: An fMRI Study. 309-318 - Daniel Anojan Atputharuban, Christoph Theopold, Aonghus Lawlor:
Reconstructing Children's Faces from Cropped Lip and Nose Images: A Large Mask Inpainting Approach for Privacy-Conscious Cleft Data. 319-331 - Yesheng Zhou, Fan Zhang, Yueping Kong, Chong Xing:
Fine-Grained Classification of Bone Marrow Cells Based on Dynamic Masking. 332-344 - Landoline Bonnin, Wissal Ramchi, Pascal Bourdon, Carole Guillevin, Rémy Guillevin, Clement Giraud, Christine Fernandez-Maloigne:
MR Spectroscopy Spectrum Fitting Using a Physically Informed Neural Network. 345-354
AI-Driven Clinical Decision Support and Workflow Optimization
- Jakub Dandár, Jirí Gerold, Jan Krístek, Zdenek Straka, Daniel Kvak, Marek Biros, Robert Hrubý:
Evaluating the Performance of Deep Learning Model and Junior Radiologists in Reading Major Pathologies on Chest X-Rays: A Population-Based, Multi-reader Study. 357-372 - Anvar Kurmukov, Valeria Chernina, Regina Gareeva, Maria Dugova, Ekaterina Petrash, Olga Aleshina, Maxim Pisov, Boris Shirokikh, Valentin Samokhin, Vladislav Proskurov, Stanislav Shimovolos, Maria Basova, Mikhail Goncharov, Eugenia Soboleva, Maria Donskova, Farukh Yaushev, Alexey Shevtsov, Alexey Zakharov, Talgat Saparov, Victor Gombolevskiy, Mikhail Belyaev:
The Impact of Deep Learning Aid on the Workload and Interpretation Accuracy of Radiologists on Chest Computed Tomography. 373-382 - Xuli Wang, Melvyn L. Smith, Nancy Zook, Myra Conway, Wenhao Zhang:
Precision Single-Camera Eye Tracking Towards Cognitive Health Assessment. 383-395 - Sarah Schaab, Claus-Jürgen Bauer, Valentin Schäfer, Shadi Albarqouni:
Artery-Fusion Deep Learning for Enhanced Ultrasound Diagnosis of Giant Cell Arteritis. 396-406 - Nicharee Srikijkasemwat, Soumya Snigdha Kundu, Fuping Wu, Bartlomiej W. Papiez:
KneeXNeT: An Ensemble-Based Approach for Knee Radiographic Evaluation. 407-416 - Ruixuan Lyu, Makoto Hasegawa:
Tear Meniscus Measurement for Dry Eye Detection Using Smartphone and Deep Learning. 417-423 - Subrata Sarkar, Debjit Dhar, Rajib Sarkar, Sanjoy Kumar Saha, Tapabrata Chakraborti:
A Lightweight Feature Fusion and Machine Learning Method for Effective Home Monitoring and Early Detection of Sleep Apnea. 424-435
Methodological Advances and Explainability in AI Models
- Mehran Azimbagirad, Pardeep Vasudev, Adam Szmul, John McCabe, Shahab Aslani, Niccolò McConnell, Brintha Selvarajah, Amyn Bhamani, Daniel C. Alexander, Joseph Jacob:
Spectral Transition Evaluation and Heatmap Extraction for Deep Learning Classifiers. 439-450 - Anna Breger, Clemens Karner, Ian Selby, Janek Gröhl, Sören Dittmer, Edward Lilley, Judith Babar, Jake Beckford, Thomas R. Else, Timothy J. Sadler, Shahab Shahipasand, Arthikkaa Thavakumar, Michael Roberts, Carola-Bibiane Schönlieb:
A Study on the Adequacy of Common IQA Measures for Medical Images. 451-462 - Or Shwartzman, Harel Gazit, Gal Ben-Aryeh, Ilan Shalef, Tammy Riklin Raviv:
The Worrisome Impact of an Inter-rater Bias on Neural Network Training. 463-473 - Wei Zhao, Margerie Huet-Dastarac, Sylvain Deffet, Edmond Sterpin, Ana M. Barragan-Montero, Sébastien Jodogne, John A. Lee:
PARROT - A Versatile Platform for AI-Driven Image Segmentation and Dose Prediction. 474-483 - Ramin Ranjbarzadeh, Shokofeh Anari, Martin Crane, Malika Bendechache:
A Hybrid UNet and Vision Transformer Architecture with Multi-scale Fusion for Brain Tumor Segmentation. 484-492 - Fnu Neha, Arvind K. Bansal:
An Enhanced Deep Learning Model for the Finer Subclassification of T1a Small Renal Masses. 493-504 - Parsa Sinichi, Miguel O. Bernabeu, Malihe Javidi:
Comparison of Classical and Deep Learning-Based Feature Representations for Age-Related Macular Degeneration. 505-514
Computational Approaches to Medical Image Synthesis and Analysis
- Haitao Zhou, Mazen Mel, Paul Springer, Alexander Gatto:
Cross-Net: Joint In-Line Holographic Image Reconstruction and Refocusing. 517-527 - Yannuo Wen, John J. Healy, Kathleen M. Curran:
Partition-Based Medical Data Synthesis via Latent Diffusion. 528-536 - Pavel Zid, Michal Haindl, Vojtech Havlícek:
Czech Anti-Covid Rules Evaluation. 537-546 - Shokooh Khandan, Fumie Costen:
Complex-Valued Convolutional Neural Network Classification of Hand Gestures from Radar Images. 547-557 - Kangning Zhang, Jianbo Jiao, J. Alison Noble:
Out-of-Clinical-Distribution Detection with a Softmax-Conditioned Variational Autoencoder Regulariser: Application to Fetal Ultrasound. 558-568 - Hinrich Rahlfs, Markus Hüllebrand, Sebastian Schmitter, Christoph Strecker, Andreas Harloff, Anja Hennemuth:
Learning Wall Segmentation in 3D Vessel Trees Using Sparse Annotations. 569-578 - Jiayi Wu, Quansheng Dou, Huanling Tang, Lizi Wang:
BOF-Net: A Retinal Branch Vein Occlusion Segmentation Diagnostic Network for Fundus Fluorescein Angiography Images. 579-588
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