Table of Contents

• Oral Cancer Classification Using a Hybrid Attention-Aided Deep Learning ModelSrinjan Dutta, Jibesh Roy, Diptarka Mandal, Dmitrii I. Kaplun, Irina Shpakovskaya, Ram Sarkar. 3-12 [doi]
• Deep Learning Frameworks for Histopathological Image Processing in Colorectal Cancer DiagnosticsMaria Frasca, Ilaria Cutica, Gabriella Pravettoni, Davide La Torre. 13-21 [doi]
• Improving Knee Osteoarthritis Detection Through a Multitask Learning Method from 2D MRI SlicesYun Xin Teoh, Mohamed Berrimi, Khin Wee Lai, Siew-Li Goh, Rachid Jennane. 22-31 [doi]
• Enhancing Diagnostic Accuracy in Fracture Identification on Musculoskeletal Radiographs Using Deep Learning: A Multi-Reader Retrospective StudyJakub Dandár, Michaela Skodová, Zdenek Straka, Daniel Kvak, Marek Biros. 32-43 [doi]
• RetNet: A Two-Stage Deep Neural Network for Clinically Traceable Retinal Disease ClassificationRohan Banerjee, Sanjoy Kumar Saha 0001, Tapabrata Chakraborti. 44-54 [doi]
• Attention-Based CNN for Enhanced Detection of Arsenic ExposureReihaneh Maarefdoust, Douglas Currie, Bruce MacLeod, Yuqi Song, John Concannon, Samuel Frankel, Xin Zhang. 55-65 [doi]
• Deep Learning for Lymph Node Metastasis Detection in Pancreatic Ductal AdenocarcinomaDavid Dueñas Gaviria, Patrick Kupczyk, Belinda Lee, Peter Gibbs, Hyun Ko, Alexander Semaan, Shadi Albarqouni. 66-76 [doi]
• Knowledge Distillation for Enabling Efficient AI-Based Skin Cancer Detection in Resource-Constrained EnvironmentsPreya Thaker, Amina Asif. 77-84 [doi]
• Classification Method in Vision Transformer with Explainability in Medical Images for Lung Neoplasm DetectionSahar Almenwer, Hoda El-Sayed, Md Kamaruzzaman Sarker. 85-99 [doi]
• BFuse-Net: Bonferroni Mean Operator-Aided Fusion of Neural Networks for Medical Image ClassificationTriyas Ghosh, Soham Chakraborty 0008, Dmitrii I. Kaplun, Vyacheslav Gulvanskii, Ram Sarkar. 100-109 [doi]
• Increasing Rosacea Awareness Among Population Using Deep Learning and Statistical ApproachesChengyu Yang, Chengjun Liu. 110-119 [doi]
• Synth-to-Segment: MRI Brain Tumor Segmentation with Diffusion Transformers and Attention U-NetMudassar Ali, Tong Wu, Maryam Mansoor, Haoji Hu. 123-132 [doi]
• (ExMod) Model for Medical Image Segmentation Using Scribble AnnotationsHateef Alshewaier, Yipeng Qin, Xianfang Sun. 133-143 [doi]
• LV-Mamba: Integrating Denoising Mechanism with Mamba for Improved Segmentation of the Pediatric Echocardiographic Left VentricleTianxiang Chen, Zeyu Chang, Fangyijie Wang, Ziyang Wang, Zi Ye. 144-153 [doi]
• LoRA-MedSAM: Efficient Medical Image SegmentationJiamin Hu, Xuwei Xu, Zhenmin Zou. 154-164 [doi]
• Dependency-Related Skin Lesion Bed and Periwound Segmentation Trained on Partially Annotated Clinical ImagesLaura Valeria Perez-Herrera, Miriam Gutiérrez-Fernández-Calvillo, Iker Perez de Albeniz, Irene Joga, Andoni Beristain Iraola. 165-174 [doi]
• Rethinking the Nested U-Net Approach: Enhancing Biomarker Segmentation with Attention Mechanisms and Multiscale Feature FusionSaad Wazir, Daeyoung Kim 0001. 175-186 [doi]
• Explainable Deep Learning Framework for Ground Glass Opacity (GGO) Segmentation from Chest CT ScansPaula Atim, Shereen Fouad, Sinling Tiffany Yu, Antonio Fratini, Arvind Rajasekaran, Pankaj Nagori, John Morlese, Bahadar Bhatia. 187-197 [doi]
• Multi-statistical Features-Based 4D Spatiotemporal Level Set Model for CTP Image SegmentationShuai Wang, Jixian Lin, Jinhua Yu, Guoqing Wu 0003. 198-209 [doi]
• Deep Learning Based Segmentation of Magnetic Resonance Cardiac ImagesHao Wu, Youzhi Xu, Xu Wang, Yulong Liu. 210-218 [doi]
• Generic Liver Modelling with Application to Mini-invasive Surgery GuidanceMathieu Labrunie, Daniel Pizarro 0001, Christophe Tilmant, Adrien Bartoli. 219-229 [doi]
• Sigmoid Colon Localisation for Acute Diverticulitis Disease Using Sigloc 3D Convolution Neural NetworkMd Akizur Rahman, Sonit Singh, Sankaran Iyer, Alan Blair 0001, Tae-Jun Kim, Praveen Ravindran, Arcot Sowmya. 230-245 [doi]
• Vitiligo Skin Segmentation: An Image-Based Unsupervised Learning ApproachMelina Tziomaka, Athanasios Kallipolitis, Stelios Andreadis, Anastasia Matonaki, Thanos G. Stavropoulos, Ilias Maglogiannis. 246-255 [doi]
• Neural Ordinary Differential Equations for Dynamic Dual-Tracer PET Image Separation in SilicoLéo Mottay, Hugo Hamon, Pierre Decazes, Sébastien Hapdey, Su Ruan. 259-267 [doi]
• Synthesising Whole-Body Diffusion-Weighted Maximum Intensity Projection Images Using Diffusion ModelChanghyun Kim, Antonio Candito, Arrigo Cattabriga, Dow-Mu Koh, Richard Lee, Matthew D. Blackledge. 268-275 [doi]
• Automated Whole-Body PET/CT Lesion Tracking for Lesion-Wise Response Evaluation in Metastatic Breast CancerHanna Jönsson, Alexander Korenyushkin, Jasper J. L. van Geel, Bertha Eisses, Elisabeth G. E. de Vries, Carolina P. Schröder, Håkan Ahlström, Joel Kullberg. 276-287 [doi]
• Patch-Level Up-Sampling for Multi-instance Learning in H&E Tissue Micro-Array Based Recurrence PredictionShervin Mehryar. 288-298 [doi]
• Text-Conditioned Abdominal CT Slice Generation Using Stable DiffusionPaola Martínez-Arias, Alexander Platas, Elena Zotova, Montse Cuadros, Iván Macía, Karen López-Linares. 299-308 [doi]
• Subjective Craving and Brain Response to Drug-Related Cues in Former Drug Addicts: An fMRI StudyNor 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. 309-318 [doi]
• Reconstructing Children's Faces from Cropped Lip and Nose Images: A Large Mask Inpainting Approach for Privacy-Conscious Cleft DataDaniel Anojan Atputharuban, Christoph Theopold, Aonghus Lawlor. 319-331 [doi]
• Fine-Grained Classification of Bone Marrow Cells Based on Dynamic MaskingYesheng Zhou, Fan Zhang, Yueping Kong, Chong Xing. 332-344 [doi]
• MR Spectroscopy Spectrum Fitting Using a Physically Informed Neural NetworkLandoline Bonnin, Wissal Ramchi, Pascal Bourdon, Carole Guillevin, Rémy Guillevin, Clement Giraud, Christine Fernandez-Maloigne. 345-354 [doi]
• Evaluating the Performance of Deep Learning Model and Junior Radiologists in Reading Major Pathologies on Chest X-Rays: A Population-Based, Multi-reader StudyJakub Dandár, Jirí Gerold, Jan Krístek, Zdenek Straka, Daniel Kvak, Marek Biros, Robert Hrubý. 357-372 [doi]
• The Impact of Deep Learning Aid on the Workload and Interpretation Accuracy of Radiologists on Chest Computed TomographyAnvar 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. 373-382 [doi]
• Precision Single-Camera Eye Tracking Towards Cognitive Health AssessmentXuli Wang, Melvyn L. Smith, Nancy Zook, Myra Conway, Wenhao Zhang 0006. 383-395 [doi]
• Artery-Fusion Deep Learning for Enhanced Ultrasound Diagnosis of Giant Cell ArteritisSarah Schaab, Claus-Jürgen Bauer, Valentin Schäfer, Shadi Albarqouni. 396-406 [doi]
• KneeXNeT: An Ensemble-Based Approach for Knee Radiographic EvaluationNicharee Srikijkasemwat, Soumya Snigdha Kundu, Fuping Wu, Bartlomiej W. Papiez. 407-416 [doi]
• Tear Meniscus Measurement for Dry Eye Detection Using Smartphone and Deep LearningRuixuan Lyu, Makoto Hasegawa. 417-423 [doi]
• A Lightweight Feature Fusion and Machine Learning Method for Effective Home Monitoring and Early Detection of Sleep ApneaSubrata Sarkar, Debjit Dhar, Rajib Sarkar, Sanjoy Kumar Saha 0001, Tapabrata Chakraborti. 424-435 [doi]
• Spectral Transition Evaluation and Heatmap Extraction for Deep Learning ClassifiersMehran Azimbagirad, Pardeep Vasudev, Adam Szmul, John McCabe, Shahab Aslani, Niccolò McConnell, Brintha Selvarajah, Amyn Bhamani, Daniel C. Alexander, Joseph Jacob. 439-450 [doi]
• A Study on the Adequacy of Common IQA Measures for Medical ImagesAnna 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. 451-462 [doi]
• The Worrisome Impact of an Inter-rater Bias on Neural Network TrainingOr Shwartzman, Harel Gazit, Gal Ben-Aryeh, Ilan Shalef, Tammy Riklin-Raviv. 463-473 [doi]
• PARROT - A Versatile Platform for AI-Driven Image Segmentation and Dose PredictionWei Zhao, Margerie Huet-Dastarac, Sylvain Deffet, Edmond Sterpin, Ana M. Barragan-Montero, Sébastien Jodogne, John A. Lee 0001. 474-483 [doi]
• A Hybrid UNet and Vision Transformer Architecture with Multi-scale Fusion for Brain Tumor SegmentationRamin Ranjbarzadeh, Shokofeh Anari, Martin Crane, Malika Bendechache. 484-492 [doi]
• An Enhanced Deep Learning Model for the Finer Subclassification of T1a Small Renal MassesFnu Neha, Arvind K. Bansal. 493-504 [doi]
• Comparison of Classical and Deep Learning-Based Feature Representations for Age-Related Macular DegenerationParsa Sinichi, Miguel O. Bernabeu, Malihe Javidi. 505-514 [doi]
• Cross-Net: Joint In-Line Holographic Image Reconstruction and RefocusingHaitao Zhou, Mazen Mel, Paul Springer, Alexander Gatto. 517-527 [doi]
• Partition-Based Medical Data Synthesis via Latent DiffusionYannuo Wen, John J. Healy, Kathleen M. Curran. 528-536 [doi]
• Czech Anti-Covid Rules EvaluationPavel Zid, Michal Haindl, Vojtech Havlícek. 537-546 [doi]
• Complex-Valued Convolutional Neural Network Classification of Hand Gestures from Radar ImagesShokooh Khandan, Fumie Costen. 547-557 [doi]
• Out-of-Clinical-Distribution Detection with a Softmax-Conditioned Variational Autoencoder Regulariser: Application to Fetal UltrasoundKangning Zhang, Jianbo Jiao, J. Alison Noble. 558-568 [doi]
• Learning Wall Segmentation in 3D Vessel Trees Using Sparse AnnotationsHinrich Rahlfs, Markus Hüllebrand, Sebastian Schmitter, Christoph Strecker, Andreas Harloff, Anja Hennemuth. 569-578 [doi]
• BOF-Net: A Retinal Branch Vein Occlusion Segmentation Diagnostic Network for Fundus Fluorescein Angiography ImagesJiayi Wu, Quansheng Dou, Huanling Tang, Lizi Wang. 579-588 [doi]