Poster Presentations
Monday, June 29th, 2026
17:30–19:00 | Poster Session I
PP01 – A Comparative Study of Machine Learning-Based VAS Breast Density Prediction and Area-Based Segmentation Derived Percent Breast Density
Hervas Gomez, Samuel*; Lee, Juhun; Astley Theodossiadis, Susan
PP02 – Acceleration of Temporal Breast Dense Tissue Changes for Breast Cancer Risk Prediction: Preliminary Results
Lee, Juhun*; Bandos, Andriy; Gangee, Razieh; Hossain, Md Belayat; Zuley, Margarita
PP03 – Vendor-Robust Volumetric Breast Density from DBT: Longitudinal Stability and Cross-Vendor Consistency in a Multi-Site Dataset
PP04 – Validation of an FFDM-Based AI Algorithm for Breast Density Estimation on Intelligent-2D Synthetic Mammography
Ganjee, Razieh*; Bandos, Andriy ; Zuley, Margarita; Lee, Juhun
PP05 – External Validation of Deep Learning Models for BI-RADS Breast Density Prediction from Ultrasound Images
Chen, Yuxuan*; Bunnell, Arianna; Xu, Yanqi; Yang, Haoyan; Wolfgruber, Thomas; Shepherd, John; Shen, Yiqiu
PP06 – Withdrawn
PP07 – Advancing Breast Cancer Risk Assessment in Digital Breast Tomosynthesis Using 3D Spatially Aware Graph Neural Network
Das Gupta, Sneha*; Cui, Jeffery; Sanchez, Adrian; Bennett, Debbie; Luo, Jingqin; Toriola, Adetunji; Gastounioti, Aimilia
PP08 – An objective assessment of the differences between synthetic and digital mammography using AI
Kristoffersson, Emma*; Dustler, Magnus; Bjerkén, Anna; Tingberg, Anders
PP09 – Bridging the Gap between Synthetic and Digital Mammograms via Deep Learning-Based Image-to-Image Translation
Yu, Xiaobing*; Sun, Zhixin; Hernandez, Juanita; Kamilov, Ulugbek; Gastounioti, Aimilia
PP10 – Image Metrics in Full or Segmented Mammograms: a Quantitative Study
Worthy, Anna*; Smith, Nadia A S; Borges, Lucas R; Cooke, Elizabeth A; Halling-Brown, Mark D; Mackenzie, Alistair; Ng, Susan; Wright, Liam; Shenton-Taylor, Caroline
PP11 – Integrating Artificial Intelligence with radiologist decision-making on Breast Ultrasound Interpretation for Predicting Malignancy in BIRADS 4A Lesions: A Retrospective Single-Center Study Among Radiologists with different levels of experience
Teerajaruwat, Suthinee*; Rohitopakarn, Patteera
PP12 – Segmenting Histopathology Images Using the Optimal Threshold Value and Few-Shot Learning
Zaiter, Louai*; Zwiggelaar, Reyer
PP13 – AI Lesion Risk Score with DBT and DM
Magnusson, Jonas*; Dustler, Magnus; Alström, Lina; Tingberg, Anders
PP14 – Assessment of deep learning translation to remove manufacturer processing of digital mammograms
Hickman, Alistair*; Smith, Nadia ; Warren , Lucy; Gomes, Sandra ; Shenton-Taylor, Caroline
PP15 – Multimodal Foundation Models for Breast Cancer Visual Question Answering
Iglesias-Murrieta, Jose Javier; Diaz, Oliver*
PP16 – Deep Learning–Based Classification of Benign and Malignant Breast Microcalcifications in Mammograms Using Transfer Learning
Tariq, Eiffa ; Khalid, Madiha*; Suhail, Zobia; Fatima, Nastaeen; Alam, Nashid; Zwiggelaar, Reyer
PP17 – Lesion Attribution Ratio: Quantifying Spatial Faithfulness of Model Explanations in Breast Mass Classification
Afzaal, Amjad*; Suhail, Zobia; Farooq, Muhammad; Alam, Nashid; Zwiggelaar, Reyer
PP18 –Deep Learning for Breast Cancer Diagnosis Combining Mechanical Imaging and Mammography
Bilén, Matilda*; Bjerkén, Anna; Heydén, Anders; Dahlbom, Victor; Tingberg, Anders; Bakic, Predrag; Dustler, Magnus
PP19 – Exploiting Multiple Phases of DCE MRI for Breast Cancer Pre-treatment Pathological Complete Response Prediction
Yang, Zhikai*; Li, Guangyuan; Moreno, Rodrigo
PP20 – Metabolic parameters on dedicated breast PET associate with recurrence in luminal breast cancer
Sasada, Shinsuke*; Kai, Azusa; Amioka, Ai; Shigematsu, Hideo; Okada, Morihito
PP21 – Optimal Slabbing for Digital Breast Tomosynthesis Classification
Tardy, Mickael*; Terrassin, Paul
PP22 – A Reader‑Conditioned Deep‑Learning Model Observer for DBT Mass‑Lesion Detection using a rating scale task
Pailloncy, Louis; duval, denis; Sung, Chi-Hsun; Milioni, Pablo; Sanchez de la Rosa, Ruben ; Iordache, Razvan; Vancamberg, Laurence; Peter, Guillaume; Ayala Cuevas, Jorge; carton, ann-katherine*
PP23 – Generative point distribution model for the shape of uncompressed but table-supported breasts
Roelofs, Carlien; van den Berg, Pim*; Pinto, Marta; Michielsen, Koen; Sechopoulos, Ioannis
PP24 – Advancing Virtual Clinical Trials: An Optimized Software Framework for High-Fidelity X-Ray Image Reconstruction
Buliev, Ivan*; Bliznakova, Kristina; Kamarianakis, Zaharias; Dukov, Nikolay; Bliznakov, Zhivko
PP25 – CASYMIR 2.0: A Publicly Available 3D Parallel Cascaded Model for Task-based Optimization of Dual-Energy Digital Breast Tomosynthesis and Dedicated Breast CT
Pacheco, Gustavo*; Michielsen, Koen; Sechopoulos, Ioannis
PP26 – Quality Control in Digital Breast Tomosynthesis-guided Vacuum Assisted Biopsy
Nishide, Hiroko*
PP27 – Possible Effects of Retakes on AI-generated Risk Scores Using an Anthropomorphic Breast Phantom
Alström, Lina*; Bjerkén, Anna; Dahlblom, Victor; Timberg, Pontus; Dustler, Magnus; Tingberg, Anders
PP28 – Evaluation of methodology for 3D-printed breast phantoms using multi-modality imaging
Dukov, Nikolay*; Bliznakova, Kristina; Nastev, Ventsislav; Petkova, Viktoriya; Buliev, Ivan; Bliznakov, Zhivko; Dobreva, Valentina
PP29 – Microwave Breast Imaging Using a Rotational Bistatic Impulse Radar for Breast Cancer Detection
Teshima, Marino*; Song, Hang; Sasada, Shinsuke; Ishikawa, Tomomi; Kikkawa, Takamaro; Okada, Morihito
PP30 – Prediction of average glandular dose to a breast model with patient-specific fibroglandular distribution by adopting a Generalized Additive Model Machine Learning algorithm in digital breast tomosynthesis
Sarno, Antonio*; Barcella, Alice; Maddaloni, Francesca Saveria; Massera, Rodrigo Trevisan; Marcon, Caterina; Bensi, Michele; Veronese, Ivan
PP31 – Breast (Re)positioning as a Source of Variability in Mammographic Software Analysis
Olinder, Jakob; Tingberg, Anders; Förnvik, Hannie; Zackrisson, Sophia; Förnvik, Daniel*
PP32 – Impact of air Kerma calibration on differences between measured and computed Mean Glandular Dose
Djaroum, Meriem *; Bordy , Jean-marc; Lefevre, Jeremie; Plagnard, Johann; Fitton , Isabelle ; Vanngocty, Claire
PP33 – Model-Based Denoising of Digital Mammography Incorporating Spatial Noise Correlation
Brandao, Renann; Borges, Lucas; Caron, Renato; Barufaldi, Bruno; Maidment, Andrew; Vieira, Marcelo*
PP34 – Experimental Validation in mammography of THOR: A Monte Carlo model for electron–hole transport in semiconductor pixelated detectors
Mendes, Hitalo; Tomal, Alessandra*
PP35 – Clinical basis material image reconstruction for mammography using a single kV scan
Phillips, JP*; Sidky, Emil; Reiser, Ingrid; Kulkarni, Kirti; Zhang, Zheng; Pan, Xiaochuan
PP36 – When Normal Is Not Safe: Predicting 2-year Breast Cancer Risk using prior mammograms
Mendes, João*; Garcia, Nuno ; Matela, Nuno
PP37 – Clinical Implementation of Medical Imaging–Based AI Systems: IAEA Guidelines
Ciraj Bjelac, Olivera *; Dekker, Andre; Giger, Maryellen ; Titovich, Egor; Zwanenburg, Alex; Carrara, Mauro
PP38 – Comparison of diagnostic decision-making by an expert radiologist versus a stand-alone breast cancer detection AI model in mammography and breast tomosynthesis
Cockmartin, Lesley*; Wang, Yao-Kuan; Meylaerts, Liesbeth; Vanwambeke, Katrien; Meersschaert, Joke; Gieraerts, Katrien; Coessens, Annelies; Celis, Valerie; Bernathova, Maria; Bosmans, Hilde; Van Ongeval, Chantal
PP39 – Malmö AI-based breast Screening with Tomosynthesis (MAST) – Description of the study protocol and principles
Tingberg, Anders*; Dustler, Magnus; Dahlblom, Victor; Zackrisson, Sophia
PP40 – Image Quality Evaluation of mammographic Images acquired at Jordanian Hospitals by Visual Grading Analysis
Alakhras, Maram*; Malkawi, Taleb; Oteir , Ala’a
PP41 – Personalized approach to DCIS treatment: Role of imaging findings in the setting of an elevated or low Prelude DCISion Score.
Makariou-Pikis, Chrissy*; Makariou, Erini; Powell, Jaclynn; Song, Judy; Al-Khalili, Rend; De La Cruz , Lucy; Tefera, Eshetu; Crane, Erin
Tuesday, June 30th, 2026
17:30–19:00 | Poster Session II
PP01 – Developing an AI Training Set to Estimate Breast Density from Spectroscopic X-Ray Data
Eaton, Megan*; Lewis, Emma; Wilson, Matt; Pani, Silvia
PP02 – Feasibility of Non-Expert Annotation for Building Labeled Breast Dense Tissue Mask Datasets in Digital Breast Tomosynthesis
Liu, Yen-Tung*; de Méro Omena, Luana; Muniz, Guilherme; Mustafaev, Tamerlan; Nishikawa, Robert; Barufaldi, Bruno; Lee, Juhun
PP03 – Mammographic breast density in a Mexican screening cohort by radiological and automatic assessments
Villaseñor-Navarro, Yolanda; Hoyos-Garcia, Ana-Mariel*; Lopez-Gonzalez, Veronica; Castillo-Lopez, Jorge-Patricio; Brandan, Maria-Ester
PP04 – MAI-VAS: an AI-based Method for Percent Breast Density from Raw and Processed Digital Mammograms
Romanov, Stepan*; Harkness, Elaine; Evans, D. Gareth; Howell, Sacha; Astley, Sue; Fergie, Martin
PP05 – Adapting an FFDM‑Based Segmentation Network for Pectoral Muscle Removal in DBT
Lee, Juhun*; Mustafaev, Tamerlan; Zuley, Margarita
PP06 – Do Deep Embedding-Derived Imaging Phenotypes Reveal Breast Cancer Risk Heterogeneity Beyond Scalar Risk Stratification?
Sollis, Lydia*
PP07 – MicaDINO: Self-Supervised DINOv3 Model for Microcalcification Clusters Segmentation in Mammogram
Okafor, Njideka*
PP08 – Robust Deep Learning Framework for Mammographic Image Classification Using Stratified Cross-Validation
Room, Shah*; Zwiggelaar, Reyer
PP09 – A Discordance Analysis of Tumor Size Between Pixel-level Annotations in Multi-Modality Breast Imaging and Pathology
Choi, Taeyang*; Kaur, Gurwinder; Strand, Fredrik; Tsirikoglou, Apostolia
PP10 –DCE-MRI Radiomics for Triple-Negative Breast Cancer Classification in a Multi-Institutional Setting
Mylona, Eugenia*; Zaridis, Dimitrios; Tachos, Nikolaos; Marias, Kostas ; Fotiadis, Dimitrios
PP11 – Trends in Tumour and Peritumoural Radiomics for pCR Prediction in Breast DCE-MRI
Awwad, Hadeel*; Martí, Robert
PP12 – Image–language alignment of breast MRI descriptors in a screening population
Rasoolzadeh, Nika*; Zhang, Tianyu; Teuwen, Jonas; van Dijk, Jarek; Lu, Chunyao; Mann, Ritse
PP13 – A Symmetrical Autoencoder Framework for Unsupervised Anomaly Detection in Breast Ultrasound Images Using Multi-Modal Scoring
Rituraj, Rituraj*; Diaz, Oliver
PP14 – Generative Categorical Diffusion Model for Realistic BreastImage Synthesis A Proof-of-Concept Using Clinical Breast-CT Data
Duval, Denis*; Carton, Ann-Katherine; Vancamberg, Laurence; Desolneux, Agnès
PP15 – A physical breast perfusion phantom for validating background parenchymal enhancement quantification in x-ray imaging
Goris , Liselot *; Pacheco, Gustavo; Sechopoulos, Ioannis
PP16 – Advanced Algorithmic Modifications for Enhanced Performance in Contrast Enhanced Mammography
Garcia Allende, Pilar Beatriz*; Lück, Ferdinand; Beister, Marcel; Syben, Christopher; Hellingman, Daan; Hörnig, Mathias; Heimann, Carina; Nanke, Ralf; Kappler, Steffen
PP17 – Contrast-detail evaluation of breast tomosynthesis images in uniform and cluttered backgrounds
Reiser, Ingrid*; Lu, Zheng-Feng
PP18 – Optimization of Mammographic Acquisition Conditions Using a Deformable Breast Phantom: A Feasibility Study on the Omission of FFDM
Ikeno, Kaoru*; Tanaka, Asami; Inagawa , Hikari; Hashizume, Nene; Ikeda, Nobutaka; Nakagawa, Norie; Takeuchi, Aiko; Takada, Atsuko; Nagai, Yuichi
PP19 – Evaluation of Average Glandular Dose Across Digital Mammography Systems from Different Manufacturers
Alakhras, Maram*; Alrousan, Renad
PP20 – Simulation of an Experimental Setup for Validating Dual-Energy Digital Breast Tomosynthesis for the Differentiation of Cystic and Solid Lesions
Nassi, Martina*; Michielsen, Koen; Sechopoulos, Ioannis
PP21 – A comparative study on the repeatability of 3D printing method for producing anthropomorphic breast phantoms
Nastev, Vencislav; Bliznakova, Kristina; Dukov, Nikolay; Buliev, Ivan; Bliznakov, Zhivko*; Dobreva, Valentina; Grancharov, Deyan
PP22 – Input Resolution Drives Performance in Deep Learning-Based Mammographic Prediction of Breast Cancer Clinical Subtypes
Diaz Resendiz, Jose Luis*; Cossio Ramirez, Fernando ; Choi, Taeyang; Nercessian, Michael; Yala, Adam ; Tsirikoglou, Apostolia; Strand, Fredrik
PP23 – Breast cancer-detection AI for mammography used on an anthropomorphic phantom: Variations in output from four commercial AI systems
Dustler, Magnus*; Alström, Lina; Choi, Taeyang; Bjerkén, Anna; Dahlblom, Victor; Timberg, Pontus; Jahnke, Paul; Strand, Fredrik; Tingberg, Anders
PP24 – Benchmarking Pretrained Machine Learning Denoisers for Low-Dose Digital Mammography: The Impact of Physics-Guided Model-Based Integration
Pereira, DYego; Brandao, Renann; Borges, Lucas; Barufaldi, Bruno; Maidment, Andrew; Vieira, Marcelo*
PP25 – False colors display in the detection of inclusions: pilot reader study comparison between green scale and gray scale
Sarno, Antonio*; Russo, Massimiliano; Guerriero , Elvira; Maddaloni, Francesca Saveria; Barcella, Alice; Arosio, Paolo; Torresin, Alberto; Veronese, Ivan
PP26 – Review of 2D contrast-to-noise and mean glandular dose to PMMA data from x-ray sets in the UK breast screening programmes 2021 – 2025
Grattan, Lesley*; Strauss, Morgan; Mackenzie, Alistair
PP27 – Deep Learning–Based Hybrid Framework for Mammographic Image Synthesis in Virtual Clinical Trials
Machado, Aline; Massera, Rodrigo; Tomal, Alessandra*
PP28 –Tissue Directionality of Perlin Noise Breast Tissue Models
Markbo, John-Henry*; Bakic, Predrag; Isaksson, Hanna; Johnson, Kristin; Dustler, Magnus
PP29 – Comparison of ROC Curves Between Two Large Breast Cancer Screening Studies
Yulei Jiang *; Chuan Yin; Kyle Lleras
PP30 – Impact of risk estimation on adjustment of screening intervals in risk-based screening for breast cancer
Studen, Andrej*; Kovše, Katja; Krajc, Mateja; Jarm, Katja; Fu, Howard Hao; Klaneček, Žan; Jeraj, Robert
PP31 – Characterization of clinical findings in a Digital Breast Tomosynthesis and Mechanical Imaging (DBTMI) database
Dadason, Brynjar*; Paul, Alisha; Dahlblom, Victor; Al-Bazzaz, Hanen; Tingberg, Anders; Dustler, Magnus; Zackrisson, Sophia; Bakic, Predrag
PP32 – Comparing AI performance on mammographic cases in Australia and Vietnam: lessons learned about resourcing and lesion types
Jiang, Zhengqiang *; Trieu , Phuong ; Robinson, Melissa ; Lewis, Sarah
PP33 – Calibration of Deep Learning-Based Mammographic Breast Implant Detection to Define Retrospective Study Cohorts
Jithendra, Shreya*; Cossío, Fernando; Choi, Taeyang; Valdimarsdóttir, Unnur; Tsirikoglou, Apostolia; Strand, Fredrik
PP34 – Investigation into Breast Lesion Grade Classification
Thomas, Cory*
PP35 – Variability of outcomes of AI software for breast cancer screening classification by screening units
Mackenzie, Alistair*; Panknin, Danny; Cooke, Elizabeth; van Engen, Ruben; Thomas, Spencer; Sinden, David; Kraft, Valentin; Rebscher, Lucas; Haufe, Stefan; Smith, Nadia
PP36 – Multimodal AI-based Precision Diagnostic and Decision Support for Breast Cancer – AID4BC
Bakic, Predrag*; Dustler, Magnus; Sjölund, Jens; Vallon-Christersson, Johan; Zachariah, Dave; Zackrisson, Sophia; Lundström, Claes; Rantalainen, Mattias
PP37 – Tumor characterization using combined mechanical imaging and mammography
Bjerkén, Anna*; Dahlblom, Victor; Tingberg, Anders; Dustler, Magnus
PP38 – Multi-modal approach for breast cancer screening
Tardy, Mickael*; Alhajj, Hassan
PP39 – Towards Trustworthy AI for Breast Cancer Treatment Management: The RadioVal Strategy
Diaz, Oliver*; Arykbaeva, Jamilia; Joshi, Smriti; Osuala, Richard; Garrucho, Lidia; Laras, Paris; Charalambous, Stefanie; Tsakou, Gianna; Dantas, Carina; Cabrita, Miriam; Machado, Natália; Hakkarainen, Tuukka; Haavisto, Ira; Tsirikoglou, Apostolia; Strand, Fredrik; Marias, Kostas; Nikiforaki, Katerina ; Dovrou, Aikaterini; Ribas Despuig, Gloria; Cerdá Alberich, Leonor; Rafael-Palou, Xavier; Munuera, Jose; Jiménez-Pastor, Ana; Cosaka, Laura; Mysler, Daniel; Ivanac, Gordana; Lafcı, Oğuz; Baltzer, Pascal; Clauster, Paola; Lambin, Philippe ; Salahuddin, Zohaib; Amirrajab, Sina; Bobowicz, Maciej; Bieliński, Bartosz ; Winkler, Piotr; Gülsün Akpinar, Meltem; Aboelhoda, Pasant; Gordebeke, Peter; Lekadir, Karim