Towards a robust and fast color stereo matching for intelligent vehicle application. - Alina Dana Miron; Samia Ainouz 001; Alexandrina Rogozan; Abdelaziz Bensrhair (ICIP, 2012)

Intensity self similarity features for pedestrian detection in Far-Infrared images. - Alina Dana Miron; Bassem Besbes; Alexandrina Rogozan; Samia Ainouz 001; Abdelaziz Bensrhair (Intelligent Vehicles Symposium, 2012)

Pedestrian Detection in Poor Visibility Conditions: Would SWIR Help? - Massimo Bertozzi; Rean Isabella Fedriga; Alina Dana Miron; Jean-Luc Reverchon (ICIAP (2), 2013)

SWIR images evaluation for pedestrian detection in clear visibility conditions. - Alina Dana Miron; Abdelaziz Bensrhair; Rean Isabella Fedriga; Alberto Broggi (ITSC, 2013)

Post-aggregation stereo matching method using Dempster-Shafer theory. - Fan Wang 002; Alina Dana Miron; Samia Ainouz 001; Abdelaziz Bensrhair (ICIP, 2014)

A robust cost function for stereo matching of road scenes. - Alina Dana Miron; Samia Ainouz 001; Alexandrina Rogozan; Abdelaziz Bensrhair (Pattern Recognit. Lett., 2014)

Multi-modal, Multi-Domain Pedestrian Detection and Classification : Proposals and Explorations in Visible over StereoVision, FIR and SWIR. - Alina Dana Miron (2014)

Skin-based privacy filter for surveillance systems. - Wai Lam Hoo; Alina Dana Miron; Atta Badii; Chee Seng Chan (IWSSIP, 2015)

Change detection based on graph cuts. - Alina Dana Miron; Atta Badii (IWSSIP, 2015)

An Evaluation of the Pedestrian Classification in a Multi-Domain Multi-Modality Setup. - Alina Dana Miron; Alexandrina Rogozan; Samia Ainouz 001; Abdelaziz Bensrhair; Alberto Broggi (Sensors, 2015)

Gesture Correctness Estimation with Deep Neural Networks and Rough Path Descriptors. - Noureddin Sadawi; Alina Dana Miron; Waidah Ismail; Hafez Hussain; Crina Grosan (ICDM Workshops, 2019)

Using the Lexicon from Source Code to Determine Application Domain. - Andrea Capiluppi; Nemitari Ajienka; Nour Ali; Mahir Arzoky; Steve Counsell; Giuseppe Destefanis; Alina Dana Miron; Bhaveet Nagaria; Rumyana Neykova; Martin J. Shepperd; Stephen Swift; Allan Tucker (EASE, 2020)

Classifying action correctness in physical rehabilitation exercises. - Alina Dana Miron; Crina Grosan (CoRR, 2021)

IntelliRehabDS (IRDS) - A Dataset of Physical Rehabilitation Movements. - Alina Dana Miron; Noureddin Sadawi; Waidah Ismail; Hafez Hussain; Crina Grosan (Data, 2021)

Simultaneous Segmentation of Layers and Fluids in Retinal OCT Images. - Nchongmaje Ndipenoch; Alina Dana Miron; Zidong Wang 001; Yongmin Li 001 (CISP-BMEI, 2022)

Integrating Residual, Dense, and Inception Blocks into the nnUNet. - Niccolò McConnell; Alina Dana Miron; Zidong Wang 001; Yongmin Li 001 (CBMS, 2022)

SVTON: Simplified Virtual Try-On. - Tasin Islam; Alina Dana Miron; Xiaohui Liu 001; Yongmin Li 001 (ICMLA, 2022)

Retinal Image Segmentation with Small Datasets. - Nchongmaje Ndipenoch; Alina Dana Miron; Zidong Wang 010; Yongmin Li 001 (BIOIMAGING, 2023)

nnUNet RASPP for Retinal OCT Fluid Detection, Segmentation and Generalisation over Variations of Data Sources. - Nchongmaje Ndipenoch; Alina Dana Miron; Zidong Wang 010; Yongmin Li 001 (CoRR, 2023)

FashionFlow: Leveraging Diffusion Models for Dynamic Fashion Video Synthesis from Static Imagery. - Tasin Islam; Alina Dana Miron; Xiaohui Liu 001; Yongmin Li 001 (CoRR, 2023)

Exploring advanced architectural variations of nnUNet. - Niccolò McConnell; Nchongmaje Ndipenoch; Yu Cao; Alina Dana Miron; Yongmin Li 001 (Neurocomputing, 2023)

CVD_Net: Head and Neck Tumor Segmentation and Generalization in PET/CT Scans Across Data from Multiple Medical Centers. - Nchongmaje Ndipenoch; Alina Dana Miron; Kezhi Wang; Zhan Shu; Yongmin Li 001 (AIiH (2), 2024)

Segmenting Medical Images: From UNet to Res-UNet and nnUNet. - Lina Huang; Alina Dana Miron; Kate Hone; Yongmin Li 001 (CBMS, 2024)

Deep Learning in Virtual Try-On: A Comprehensive Survey. - Tasin Islam; Alina Dana Miron; Xiaohui Liu 001; Yongmin Li 001 (IEEE Access, 2024)

Performance Evaluation of Retinal OCT Fluid Segmentation, Detection, and Generalization Over Variations of Data Sources. - Nchongmaje Ndipenoch; Alina Dana Miron; Yongmin Li 001 (IEEE Access, 2024)

StyleVTON: A multi-pose virtual try-on with identity and clothing detail preservation. - Tasin Islam; Alina Dana Miron; Xiaohui Liu 001; Yongmin Li 001 (Neurocomputing, 2024)

Image-based virtual try-on: Fidelity and simplification. - Tasin Islam; Alina Dana Miron; Xiaohui Liu 001; Yongmin Li 001 (Signal Process. Image Commun., 2024)

Transforming Digital Marketing with Generative AI. - Tasin Islam; Alina Dana Miron; Monomita Nandy; Jyoti Choudrie; Xiaohui Liu 001; Yongmin Li 001 (Comput., 2024)

Dynamic Fashion Video Synthesis from Static Imagery. - Tasin Islam; Alina Dana Miron; Xiaohui Liu 001; Yongmin Li 001 (Future Internet, 2024)

There's Nothing to See Here: A Study of Deaf and Hearing Developer Use of Stack Overflow. - Steve Counsell; Giuseppe Destefanis; Rumyana Neykova; Alina Dana Miron; Nadine Aburumman; Thomas Shippey (ICSE-SEIS, 2025)

SegRap2023: A benchmark of organs-at-risk and gross tumor volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma. - Xiangde Luo; Jia Fu; Yunxin Zhong; Shuolin Liu; Bing Han; Mehdi Astaraki; Simone Bendazzoli; Iuliana Toma-Dasu; Yiwen Ye; Ziyang Chen 003; Yong Xia 001; Yanzhou Su; et al. (Medical Image Anal., 2025)

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results. - Kelly Payette; Céline Steger; Roxane Licandro; Priscille de Dumast; Hongwei Bran Li; Matthew J. Barkovich; Liu Li; Maik Dannecker; Chen Chen 042; Cheng Ouyang; Niccolò McConnell; Alina Dana Miron; et al. (IEEE Trans. Medical Imaging, 2025)