Medical Imaging
Deep learning for reading and interpreting medical images, such as ultrasound, to support diagnosis and clinical decisions.
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AI-Based Prediction of Surfactant Need in Preterm Babies Using Clinical Data and Lung Ultrasound
A Occhipinti, LMT Doan, Y Karayaneva, O Ayobami, VV Kalva, C Angione, PK Loganathan
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Ischemic Stroke Detection, Segmentation, and Volume Estimation using Multi-sequence MRI Data with Missing Sequences
Z Lu, S Uddin, SA Uribe, S White, RT Martins, MT Chau, ASM Mosaddek, MS Islam, N Nahar, A Azad, KMN Hossain, HS Choudhury, KMR Hasan, S Aloteibi, N Mosaddek, S Rahman, MM Hossain, KMMH Sizar, C Angione, P Lió, MT Islam, MA Moni
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Modality-aware differentially private federated learning for partially observed multimodal healthcare prediction
HVC Nguyen, TQ Nguyen, S Kravenkit, P Aimtongkham, P Padungweang, MS Ayub, C So–In
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Benchmark validity in graph neural network scoring of metabolic reaction activity on Recon3D: detecting label leakage, memorized noise and input-invariant models
T Phongwattana, JH Chan
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Clinically Generalisable End-to-End Graph Learning for CT Image-Based Multitask Stroke Diagnosis
Z Lu, S Uddin, SA Uribe, S White, RT Martins, MT Chau, ASM Mosaddek, MS Islam, N Nahar, A Azad, KMN Hossain, HS Choudhury, KMR Hasan, N Mosaddek, S Rahman, MM Hossain, KMMH Sizar, C Angione, P Lió, MT Islam, MA Moni
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Sertraline and Carfilzomib Synergize to Target T-cell Malignancies with Serine/Glycine synthesis activity via Cholesterol Dysregulation, Cellular Stress and Immune Modulation
P Verstraete, E Heylen, A Sánchez‐Castillo, J Fontela, L Matthys, S Meykens, Ó Herranz, S Verma, LMT Doan, LV Aerschot, J Verbeeck, J Royaert, M Vandenbosch, R Jacobs, G Dow, C Angione, A Occhipinti, D Dierickx, J Cools, MV Bempt, I Elia, KR Kampen, KD Keersmaecker
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Artificial intelligence for brain cancer management: multimodal digital workflows for diagnosis, treatment planning, and longitudinal monitoring
G Saibaba, O Giwa, TC Booth, T Kisková-Šimková, A Uka, F Skuka, B Javed, D Ferreira, SS Ferreira, J Sengupta, M Karaman, GF Calvo, X Li, TL Mitrović, A Occhipinti, C Angione, N Missaoui, M Frenkel‐Morgenstern
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Towards equitable AI for women’s health: accessible data as a catalyst for innovation
BGS Schor, KC Caolo, LMT Doan, M Delfino, A Occhipinti, HY Lu, E Karoune
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Multi-Objective Orchestration of Small Language Model Ensembles: Balancing Accuracy, Diversity, and Fairness
A Dhar, S Das, K Deb
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Lumina: Seasonal Color Analysis System with Explainable Machine Learning
NYP Ou, JH Chan
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MToP: A MATLAB Benchmarking Platform for Evolutionary Multitasking
Y Li, W Gong, T Zhang, F Ming, S Li, Q Gu, YS Ong. Cited by 2
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Fusing imaging and metabolic modeling via multimodal deep learning in ovarian cancer
N Eftekhari, S Verma, A Saha, G Zampieri, S Sawan, A Occhipinti, C Angione