| 2024 | Bayesian Neural Network to Predict Antibiotic Resistance. | Laurent Vouriot, Stanislas Rebaudet, Jean Gaudart, Raquel Urea |
| 2024 | A 360° View for Large Language Models: Early Detection of Amblyopia in Children Using Multi-view Eye Movement Recordings. | Dipak P. Upadhyaya, Aasef G. Shaikh, Gokce Busra Cakir, Katrina Prantzalos, Pedram Golnari, Fatema F. Ghasia, Satya S. Sahoo |
| 2024 | Automated Detection and Characterization of Small Cell Lung Cancer Liver Metastases on CT. | Sophia Ty, Fahmida Haque, Parth Desai, Nobuyuki Takahashi, Usamah Chaudhary, Benjamin Simon, Peter L. Choyke, Anish Thomas, Baris Turkbey, Stephanie A. Harmon |
| 2024 | Cross-Modality Synthesis of T1c MRI from Non-contrast Images Using GANs: Implications for Brain Tumor Research. | Mehnaz Tabassum, Priyanka Rana, Eric Suero Molina, Antonio Di Ieva, Sidong Liu |
| 2024 | OptimalMEE: Optimizing Large Language Models for Medical Event Extraction Through Fine-Tuning and Post-hoc Verification. | Yaoqian Sun, Dan Wu, Zikang Chen, Hailing Cai, Jiye An |
| 2024 | Fuzzy Neural Network Model Based on Uni-Nullneuron in Extracting Knowledge About Risk Factors of Maternal Health. | Paulo Vitor de Campos Souza, Mauro Dragoni |
| 2024 | TinySAM-Med3D: A Lightweight Segment Anything Model for Volumetric Medical Imaging with Mixture of Experts. | Tianyuan Song, Guixia Kang, Yiqing Shen |
| 2024 | Quasi-Orthogonal ECG-Frank XYZ Transformation with Energy-Based Models and Clinical Text. | Lorenzo Simone, Davide Bacciu, Vincenzo Gervasi |
| 2024 | ProteinEngine: Empower LLM with Domain Knowledge for Protein Engineering. | Yiqing Shen, Outongyi Lv, Houying Zhu, Yu Guang Wang |
| 2024 | Sequence-Model-Based Medication Extraction from Clinical Narratives in German. | Vishakha Sharma, Andreas Thalhammer, Amila Kugic, Stefan Schulz, Markus Kreuzthaler |
| 2024 | Clinical Reasoning over Tabular Data and Text with Bayesian Networks. | Paloma Rabaey, Johannes Deleu, Stefan Heytens, Thomas Demeester |
| 2024 | Do You Trust Your Model Explanations? An Analysis of XAI Performance Under Dataset Shift. | Lorenzo Peracchio, Giovanna Nicora, Tommaso Mario Buonocore, Riccardo Bellazzi, Enea Parimbelli |
| 2024 | Sentence-Aligned Simplification of Biomedical Abstracts. | Brian D. Ondov, Dina Demner-Fushman |
| 2024 | Enhancing Abstract Screening Classification in Evidence-Based Medicine: Incorporating Domain Knowledge into Pre-trained Models. | Regina Ofori-Boateng, Magaly Aceves-Martins, Nirmalie Wiratunga, Carlos Francisco Moreno-Garca |
| 2024 | CI-VAE for Single-Cell: Leveraging Generative-AI to Enhance Disease Understanding. | Mohsen Nabian, Zahra Eftekhari, Chi Wah Wong |
| 2024 | Harnessing the Power of Graph Propagation in Lung Nodule Detection. | Sudipta Modak, Yash Trivedi, Esam Abdel-Raheem, Luis Rueda |
| 2024 | Boosting Multitask Decomposition: Directness, Sequentiality, Subsampling, Cross-Gradients. | Andrs Millinghoffer, Mtys Antal, Mrk Marosi, Andrs Formanek, Andrs Antos, Pter Antal |
| 2024 | Manually-Curated Versus LLM-Generated Explanations for Complex Patient Cases: An Exploratory Study with Physicians. | Martin Michalowski, Szymon Wilk, Jenny M. Bauer, Marc Carrier, Aurelien Delluc, Grgoire Le Gal, Tzu-Fei Wang, Deborah Siegal, Wojtek Michalowski |
| 2024 | AI in Neuro-Oncology: Predicting EGFR Amplification in Glioblastoma from Whole Slide Images Using Weakly Supervised Deep Learning. | Homay Danaei Mehr, Imran Noorani, Priyanka Rana, Antonio Di Ieva, Sidong Liu |
| 2024 | Modeling Multiple Adverse Pregnancy Outcomes: Learning from Diverse Data Sources. | Saurabh Mathur, Veerendra P. Gadekar, Rashika Ramola, Peixin Wang, Ramachandran Thiruvengadam, David M. Haas, Shinjini Bhatnagar, Nitya Wadhwa, Garbhini Study Group, Predrag Radivojac, Himanshu Sinha, Kristian Kersting, Sriraam Natarajan |
| 2024 | Towards Interactive and Interpretable Image Retrieval-Based Diagnosis: Enhancing Brain Tumor Classification with LLM Explanations and Latent Structure Preservation. | Pranav Manjunath, Brian Lerner, Timothy Dunn |
| 2024 | Learning to Predict the Optimal Template in Stain Normalization for Histology Image Analysis. | Shiling Luo, Junxin Feng, Yiqing Shen, Qiongxiong Ma |
| 2024 | Reinforcement Learning with Balanced Clinical Reward for Sepsis Treatment. | Zhilin Lu, Jingming Liu, Ruihong Luo, Chunping Li |
| 2024 | Frequent Patterns of Childhood Overweight from Longitudinal Data on Parental and Early-Life of Infants Health. | Beatriz Lpez, David Galera, Abel Lpez-Bermejo, Judit Bassols |
| 2024 | Towards Aleatoric and Epistemic Uncertainty in Medical Image Classification. | Timo Lhr, Michael Ingrisch, Eyke Hllermeier |