:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Asad, Mohammed, Bajpai, Mohit, Singh, Sudhir, Katarya, Rahul
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2604.12437
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Real-time Lane-wise Traffic Monitoring in Optimal ROIs
by: Qiu, Mei, et al.
Published: (2024)

Exploring Kinetic Curves Features for the Classification of Benign and Malignant Breast Lesions in DCE-MRI
by: Li, Zixian, et al.
Published: (2024)

AResNet-ViT: A Hybrid CNN-Transformer Network for Benign and Malignant Breast Nodule Classification in Ultrasound Images
by: Zhao, Xin, et al.
Published: (2024)

MIL-PF: Multiple Instance Learning on Precomputed Features for Mammography Classification
by: Jovišić, Nikola, et al.
Published: (2026)

Gait Recognition with Temporal Kolmogorov-Arnold Networks
by: Asad, Mohammed, et al.
Published: (2026)

ManiNeg: Manifestation-guided Multimodal Pretraining for Mammography Classification
by: Li, Xujun, et al.
Published: (2024)

PolSAR Image Classification using a Hybrid Complex-Valued Network (HybridCVNet)
by: Alkhatib, Mohammed Q.
Published: (2026)

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

Region-of-Interest Augmentation for Mammography Classification under Patient-Level Cross-Validation
by: Bigdeli, Farbod, et al.
Published: (2025)

Mammo-Mamba: A Hybrid State-Space and Transformer Architecture with Sequential Mixture of Experts for Multi-View Mammography
by: Bayatmakou, Farnoush, et al.
Published: (2025)

MamT$^4$: Multi-view Attention Networks for Mammography Cancer Classification
by: Ibragimov, Alisher, et al.
Published: (2024)

Attention-Enhanced Deep Learning Ensemble for Breast Density Classification in Mammography
by: Sharifian, Peyman, et al.
Published: (2025)

FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography
by: Yang, Julia, et al.
Published: (2024)

Cross-Modal Clinical Knowledge Integration for Mammography Report Generation
by: Zhu, Jiayi, et al.
Published: (2026)

Bias and Generalizability of Foundation Models across Datasets in Breast Mammography
by: Germani, Elodie, et al.
Published: (2025)

ROIsGAN: A Region Guided Generative Adversarial Framework for Murine Hippocampal Subregion Segmentation
by: Azim, Sayed Mehedi, et al.
Published: (2025)

Mammo-CLIP Dissect: A Framework for Analysing Mammography Concepts in Vision-Language Models
by: Salahuddin, Suaiba Amina, et al.
Published: (2025)

DoSReMC: Domain Shift Resilient Mammography Classification using Batch Normalization Adaptation
by: Akyüz, Uğurcan, et al.
Published: (2025)

Online Refractive Camera Model Calibration in Visual Inertial Odometry
by: Singh, Mohit, et al.
Published: (2024)

Mammo-Clustering: A Multi-views Tri-level Information Fusion Context Clustering Framework for Localization and Classification in Mammography
by: Yang, Shilong, et al.
Published: (2024)

Hybrid Transformer-Mamba Architecture for Weakly Supervised Volumetric Medical Segmentation
by: Lyu, Yiheng, et al.
Published: (2025)

A Comparative Study of Modern Object Detectors for Robust Apple Detection in Orchard Imagery
by: Asad, Mohammed, et al.
Published: (2026)

Topological Conditioning for Mammography Models via a Stable Wavelet-Persistence Vectorization
by: Fanning, Charles, et al.
Published: (2025)

Taylor-Series Expanded Kolmogorov-Arnold Network for Medical Imaging Classification
by: Fatema, Kaniz, et al.
Published: (2025)

An inclusive review on deep learning techniques and their scope in handwriting recognition
by: Singh, Sukhdeep, et al.
Published: (2024)

OncoVision: Integrating Mammography and Clinical Data through Attention-Driven Multimodal AI for Enhanced Breast Cancer Diagnosis
by: Ahmed, Istiak, et al.
Published: (2025)

Few-Shot Adaptation of Grounding DINO for Agricultural Domain
by: Singh, Rajhans, et al.
Published: (2025)

Self-Supervised Backbone Framework for Diverse Agricultural Vision Tasks
by: Sornapudi, Sudhir, et al.
Published: (2024)

Visualizing the Invisible: Enhancing Radiologist Performance in Breast Mammography via Task-Driven Chromatic Encoding
by: Ye, Hui, et al.
Published: (2026)

MAMBO: High-Resolution Generative Approach for Mammography Images
by: Škipina, Milica, et al.
Published: (2025)

Forecasting Future Videos from Novel Views via Disentangled 3D Scene Representation
by: Yarram, Sudhir, et al.
Published: (2024)

MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone Architecture
by: Li, Guandong, et al.
Published: (2025)

Comparative Analysis and Ensemble Enhancement of Leading CNN Architectures for Breast Cancer Classification
by: Murphy, Gary, et al.
Published: (2024)

Reliable Breast Cancer Molecular Subtype Prediction based on uncertainty-aware Bayesian Deep Learning by Mammography
by: Chegini, Mohaddeseh, et al.
Published: (2024)

SecurePose: Automated Face Blurring and Human Movement Kinematics Extraction from Videos Recorded in Clinical Settings
by: Bajpai, Rishabh, et al.
Published: (2024)

FOCUS: Forcing In-Context Object Localization through Visual Support Constraints and Policy Optimization
by: Karim, Mohammed Asad, et al.
Published: (2026)

Analyzing VLM-Based Approaches for Anomaly Classification and Segmentation
by: Kakda, Mohit, et al.
Published: (2026)

MGRegBench: A Novel Benchmark Dataset with Anatomical Landmarks for Mammography Image Registration
by: Krasnova, Svetlana, et al.
Published: (2025)

LMFLOSS: A Hybrid Loss For Imbalanced Medical Image Classification
by: Sadi, Abu Adnan, et al.
Published: (2022)

M&M: Tackling False Positives in Mammography with a Multi-view and Multi-instance Learning Sparse Detector
by: Vu, Yen Nhi Truong, et al.
Published: (2023)