:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ben-Artzi, Gil, Daragma, Feras, Mahpod, Shahar
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2411.10894
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ChannelDropBack: Forward-Consistent Stochastic Regularization for Deep Networks
by: Neiterman, Evgeny Hershkovitch, et al.
Published: (2024)

LayerDropBack: A Universally Applicable Approach for Accelerating Training of Deep Networks
by: Neiterman, Evgeny Hershkovitch, et al.
Published: (2024)

SMM-Conv: Scalar Matrix Multiplication with Zero Packing for Accelerated Convolution
by: Ofir, Amir, et al.
Published: (2024)

External Validation of Deep Learning Models for BI-RADS Breast Density Prediction from Ultrasound Images
by: Chen, Yuxuan, et al.
Published: (2026)

MAM-CLIP: Vision-Language Pretraining on Mammography Atlases for BI-RADS Classification
by: Gulluk, Halil Ibrahim, et al.
Published: (2026)

BI-RADS prediction of mammographic masses using uncertainty information extracted from a Bayesian Deep Learning model
by: Chegini, Mohaddeseh, et al.
Published: (2025)

The Impact of Longitudinal Mammogram Alignment on Breast Cancer Risk Assessment
by: Thrun, Solveig, et al.
Published: (2025)

D-MASTER: Mask Annealed Transformer for Unsupervised Domain Adaptation in Breast Cancer Detection from Mammograms
by: Ashraf, Tajamul, et al.
Published: (2024)

Breast Cancer Detection from Multi-View Screening Mammograms with Visual Prompt Tuning
by: Chen, Han, et al.
Published: (2025)

Recognizing Artistic Style of Archaeological Image Fragments Using Deep Style Extrapolation
by: Elkin, Gur, et al.
Published: (2025)

Solving Convex Partition Visual Jigsaw Puzzles
by: Ohayon, Yaniv, et al.
Published: (2025)

PuzLM: Solving Jigsaw Puzzles with Sequence-to-Sequence Language Models
by: Elkin, Gur, et al.
Published: (2025)

Pairwise Alignment & Compatibility for Arbitrarily Irregular Image Fragments
by: Shahar, Ofir Itzhak, et al.
Published: (2025)

Deep Radiomics Detection of Clinically Significant Prostate Cancer on Multicenter MRI: Initial Comparison to PI-RADS Assessment
by: Nketiah, G. A., et al.
Published: (2024)

Externally Validated Multi-Task Learning via Consistency Regularization Using Differentiable BI-RADS Features for Breast Ultrasound Tumor Segmentation
by: Zhang, Jingru, et al.
Published: (2025)

Improving Online Source-free Domain Adaptation for Object Detection by Unsupervised Data Acquisition
by: Shi, Xiangyu, et al.
Published: (2023)

Exemplar Med-DETR: Toward Generalized and Robust Lesion Detection in Mammogram Images and beyond
by: Bhat, Sheethal, et al.
Published: (2025)

Analysis of Invasive Breast Cancer in Mammograms Using YOLO, Explainability, and Domain Adaptation
by: Adhikari, Jayan, et al.
Published: (2025)

Longitudinal Mammogram Risk Prediction
by: Karaman, Batuhan K., et al.
Published: (2024)

Pictorial and apictorial polygonal jigsaw puzzles from arbitrary number of crossing cuts
by: Shahar, Peleg Harel Ofir Itzhak, et al.
Published: (2020)

Longitudinal Mammogram Exam-based Breast Cancer Diagnosis Models: Vulnerability to Adversarial Attacks
by: Zhou, Zhengbo, et al.
Published: (2024)

The Missing GAP: From Solving Square Jigsaw Puzzles to Handling Real World Archaeological Fragments
by: Shahar, Ofir Itzhak, et al.
Published: (2026)

Siamese Networks with Soft Labels for Unsupervised Lesion Detection and Patch Pretraining on Screening Mammograms
by: Van Vorst, Kevin, et al.
Published: (2024)

MammoTracker: Mask-Guided Lesion Tracking in Temporal Mammograms
by: Liu, Xuan, et al.
Published: (2025)

A Versatile Foundation Model for AI-enabled Mammogram Interpretation
by: Huang, Fuxiang, et al.
Published: (2025)

Wasserstein Distance-based Expansion of Low-Density Latent Regions for Unknown Class Detection
by: Mallick, Prakash, et al.
Published: (2024)

Detecting Precise Hand Touch Moments in Egocentric Video
by: Nguyen, Huy Anh, et al.
Published: (2026)

Unsupervised Hybrid framework for ANomaly Detection (HAND) -- applied to Screening Mammogram
by: Zhang, Zhemin, et al.
Published: (2024)

Is ChatGPT-5 Ready for Mammogram VQA?
by: Li, Qiang, et al.
Published: (2025)

Semi- and Weakly-Supervised Learning for Mammogram Mass Segmentation with Limited Annotations
by: Xiong, Xinyu, et al.
Published: (2024)

Panoptic Segmentation of Mammograms with Text-To-Image Diffusion Model
by: Zhao, Kun, et al.
Published: (2024)

Revisiting Invariant Learning for Out-of-Domain Generalization on Multi-Site Mammogram Datasets
by: Vo, Hung Q., et al.
Published: (2025)

Embodied Domain Adaptation for Object Detection
by: Shi, Xiangyu, et al.
Published: (2025)

Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms
by: Wang, Xin, et al.
Published: (2024)

Incorporating Clinical Guidelines through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring
by: Zhang, Tiantian, et al.
Published: (2024)

MV-Swin-T: Mammogram Classification with Multi-view Swin Transformer
by: Sarker, Sushmita, et al.
Published: (2024)

A Joint Study of Phrase Grounding and Task Performance in Vision and Language Models
by: Kojima, Noriyuki, et al.
Published: (2023)

Detection of adrenal anomalous findings in spinal CT images using multi model graph aggregation
by: Shabalin, Carmel, et al.
Published: (2024)

Talk Less, Interact Better: Evaluating In-context Conversational Adaptation in Multimodal LLMs
by: Hua, Yilun, et al.
Published: (2024)

Optimizing Breast Cancer Detection in Mammograms: A Comprehensive Study of Transfer Learning, Resolution Reduction, and Multi-View Classification
by: Petrini, Daniel G. P., et al.
Published: (2025)