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ORCID22nd AIME 2024: Salt Lake City, UT, USA - Part II
- Joseph Finkelstein
, Robert Moskovitch, Enea Parimbelli:
Artificial Intelligence in Medicine - 22nd International Conference, AIME 2024, Salt Lake City, UT, USA, July 9-12, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14845, Springer 2024, ISBN 978-3-031-66534-9
Medical Imaging Analysis
- Aryan Kalluvila, Matthew S. Rosen:
3T to 7T Whole Brain + Skull MRI Translation with Densely Engineered U-Net Network. 3-8 - Zhijun Chen, Erolcan Sayar, Haoyue Zhang, Helen Richards, Lucas Liu, Baris Turkbey, Michael Haffner, Stephanie A. Harmon:
A Sparse Convolutional Autoencoder for Joint Feature Extraction and Clustering of Metastatic Prostate Cancer Images. 9-20 - Homay Danaei Mehr, Imran Noorani, Priyanka Rana, Antonio Di Ieva, Sidong Liu:
AI in Neuro-Oncology: Predicting EGFR Amplification in Glioblastoma from Whole Slide Images Using Weakly Supervised Deep Learning. 21-29 - Brandon Abela, Martin Masek, Jumana Abu-Khalaf, David Suter, Ashu Gupta:
An Exploration of Diabetic Foot Osteomyelitis X-ray Data for Deep Learning Applications. 30-39 - Sophia Ty, Fahmida Haque, Parth Desai, Nobuyuki Takahashi, Usamah Chaudhary, Benjamin Simon, Peter L. Choyke, Anish Thomas, Baris Turkbey, Stephanie A. Harmon:
Automated Detection and Characterization of Small Cell Lung Cancer Liver Metastases on CT. 40-44 - Dario Barac, Teo Manojlovic, Mateja Napravnik, Franko Hrzic, Mihaela Mamula Saracevic, Damir Miletic, Ivan Stajduhar:
Content-Based Medical Image Retrieval for Medical Radiology Images. 45-59 - Mehnaz Tabassum, Priyanka Rana, Eric Suero Molina, Antonio Di Ieva, Sidong Liu:
Cross-Modality Synthesis of T1c MRI from Non-contrast Images Using GANs: Implications for Brain Tumor Research. 60-69 - Sudipta Modak, Yash Trivedi, Esam Abdel-Raheem, Luis Rueda:
Harnessing the Power of Graph Propagation in Lung Nodule Detection. 70-80 - Chong Wang, Zhenqi He, Junjun He, Jin Ye, Yiqing Shen:
Histology Image Artifact Restoration with Lightweight Transformer Based Diffusion Model. 81-89 - Shyam Yathirajam, Sreedevi Gutta:
Improved Glioma Grade Prediction with Mean Image Transformation. 90-94 - Shiling Luo, Junxin Feng, Yiqing Shen, Qiongxiong Ma:
Learning to Predict the Optimal Template in Stain Normalization for Histology Image Analysis. 95-103 - Mahshid Benchari, Michael W. Totaro:
MRI Brain Cancer Image Detection: Application of an Integrated U-Net and ResNet50 Architecture. 104-108 - Giulia Baldini, Melanie Schmidt, Charlotte Zäske, Liliana Lourenco Caldeira:
MRI Scan Synthesis Methods Based on Clustering and Pix2Pix. 109-125 - Parvaneh Aliniya, Mircea Nicolescu, Monica N. Nicolescu, George Bebis:
Supervised Pectoral Muscle Removal in Mammography Images. 126-130 - Tianyuan Song, Guixia Kang, Yiqing Shen:
TinySAM-Med3D: A Lightweight Segment Anything Model for Volumetric Medical Imaging with Mixture of Experts. 131-139 - Charles E. Kahn, Abhinav Suri, Safwan Halabi, Hari Trivedi:
Towards a Formal Description of Artificial Intelligence Models and Datasets in Radiology. 140-144 - Timo Löhr, Michael Ingrisch, Eyke Hüllermeier:
Towards Aleatoric and Epistemic Uncertainty in Medical Image Classification. 145-155 - Abdalrahman Alblwi, Kenneth E. Barner:
Ultrasound Image Segmentation via a Multi-scale Salient Network. 156-161
Data Integration and Multimodal Analysis
- Dipak P. Upadhyaya, Aasef G. Shaikh, Gokce Busra Cakir, Katrina Prantzalos, Pedram Golnari, Fatema F. Ghasia, Satya S. Sahoo:
A 360° View for Large Language Models: Early Detection of Amblyopia in Children Using Multi-view Eye Movement Recordings. 165-175 - Sung Ho Jung, Soon Jung Oh, Hakje Yoo, Je Moon Yoon:
Enhancing Anti-VEGF Response Prediction in Diabetic Macular Edema Through OCT Features and Clinical Data Integration Based on Deep Learning. 176-180 - Zhichuan Wang, Kinhei Lee, Qiao Deng, Tiffany Y. So, Wan Hang Chiu, Bingjing Zhou, Edward S. Hui:
Expert Insight-Enhanced Follow-Up Chest X-ray Summary Generation. 181-193 - Xiayuan Huang:
Integrating Multimodal Patient Data into Attention-Based Graph Networks for Disease Risk Prediction. 194-203 - Bing He, Neel Sangani, Ruiming Wu, Pradeep Varathan, Alice Patania, Shannon L. Risacher, Kwangsik Nho, Liana G. Apostolova, Andrew J. Saykin, Li Shen, Jingwen Yan:
Integrative Analysis of Amyloid Imaging and Genetics Reveals Subtypes of Alzheimer Progression in Early Stage. 204-211 - Mátyás Antal, Márk Marosi, Tamás Nagy, András Millinghoffer, András Gézsi, Gabriella Juhász, Péter Antal:
Modular Quantitative Temporal Transformer for Biobank-Scale Unified Representations. 212-226 - Zishun Feng, Joseph A. Sivak, Ashok K. Krishnamurthy:
Multimodal Fusion of Echocardiography and Electronic Health Records for the Detection of Cardiac Amyloidosis. 227-237 - Yilin Zhang, Shuo Chen, Rozalina G. Mccoy, Chixiang Chen, Yuzhou Chen:
Multi-view k-Nearest Neighbor Graph Contrastive Learning on Multi-modal Biomedical Data. 238-248 - Lorenzo Simone, Davide Bacciu, Vincenzo Gervasi:
Quasi-Orthogonal ECG-Frank XYZ Transformation with Energy-Based Models and Clinical Text. 249-253
Explainable AI
- Lorenzo Peracchio, Giovanna Nicora, Tommaso Mario Buonocore, Riccardo Bellazzi, Enea Parimbelli:
Do You Trust Your Model Explanations? An Analysis of XAI Performance Under Dataset Shift. 257-266 - Chia-Hsuan Chang, Xiaoyang Wang, Christopher C. Yang:
Explainable AI for Fair Sepsis Mortality Predictive Model. 267-276 - Nikil Sharan Prabahar Balasubramanian, Sagnik Dakshit:
Explanations of Augmentation Methods for Deep Learning ECG Classification. 277-287 - Sunghan Lee, Jeonghwan Koh, Guangyao Zheng, Vladimir Braverman, In Cheol Jeong:
Exploring the Possibility of Arrhythmia Interpretation of Time Domain ECG Using XAI: A Preliminary Study. 288-295 - Ulf Lesley, Alejandro Kuratomi Hernández:
Improving XAI Explanations for Clinical Decision-Making - Physicians' Perspective on Local Explanations in Healthcare. 296-312 - Martin Michalowski, Szymon Wilk, Jenny M. Bauer, Marc Carrier, Aurelien Delluc, Grégoire Le Gal, Tzu-Fei Wang, Deborah Siegal, Wojtek Michalowski:
Manually-Curated Versus LLM-Generated Explanations for Complex Patient Cases: An Exploratory Study with Physicians. 313-323 - Rathika Suresh Kumar, Kelvin Zhenghao Li, Si Yin Charlene Chia, Li Rong Wang, Vivien Cherng Hui Yip, Wei Kiong Ngo, Yih Yng Ng, Xiuyi Fan:
On Identifying Effective Investigations with Feature Finding Using Explainable AI: An Ophthalmology Case Study. 324-334 - Pranav Manjunath, Brian Lerner, Timothy Dunn:
Towards Interactive and Interpretable Image Retrieval-Based Diagnosis: Enhancing Brain Tumor Classification with LLM Explanations and Latent Structure Preservation. 335-349 - Nils Gumpfer, Borislav Dinov, Samuel Sossalla, Michael Guckert, Jennifer Hannig:
Towards Trustworthy AI in Cardiology: A Comparative Analysis of Explainable AI Methods for Electrocardiogram Interpretation. 350-361
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