activity
20222026
most citedEffect of Random Histogram Equalization on Breast Calcification Analysis Using Deep Learning

10 citations · 13 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2026

Re-thinking Mammography Transfer Learning: The Dataset-Informed Transfer Learning (DITL) Framework for Breast Cancer Screening and Lesion Diagnosis

Adarsh Bhandary Panambur, Siming Bayer, Andreas Maier

Enhancing classification performance in mammography remains a persistent challenge across both small curated datasets and large-scale clinical cohorts. Conventional transfer learni…

cs.CV2026

Safety-oriented sidewalk and road segmentation for smartphone-based assistive navigation

Hakan Calim, Anamaria Dumitrescu, Adarsh Bhandary Panambur +2

Independent sidewalk mobility is essential for blind and visually impaired pedestrians (BVIPs), yet smartphone-based assistive navigation requires perception models that distinguis…

cs.CV2025★ 1 cited

Exemplar Med-DETR: Toward Generalized and Robust Lesion Detection in Mammogram Images and beyond

Sheethal Bhat, Bogdan Georgescu, Adarsh Bhandary Panambur +8

Detecting abnormalities in medical images poses unique challenges due to differences in feature representations and the intricate relationship between anatomical structures and abn…

eess.IV2024★ 1 cited

Attention-Guided Erasing: A Novel Augmentation Method for Enhancing Downstream Breast Density Classification

Adarsh Bhandary Panambur, Hui Yu, Sheethal Bhat +3

The assessment of breast density is crucial in the context of breast cancer screening, especially in populations with a higher percentage of dense breast tissues. This study introd…

eess.IV2023★ 1 cited

Classification of Luminal Subtypes in Full Mammogram Images Using Transfer Learning

Adarsh Bhandary Panambur, Prathmesh Madhu, Andreas Maier

Automatic identification of patients with luminal and non-luminal subtypes during a routine mammography screening can support clinicians in streamlining breast cancer therapy plann…

eess.IV2022★ 10 cited

Effect of Random Histogram Equalization on Breast Calcification Analysis Using Deep Learning

Adarsh Bhandary Panambur, Prathmesh Madhu, Andreas Maier

Early detection and analysis of calcifications in mammogram images is crucial in a breast cancer diagnosis workflow. Management of calcifications that require immediate follow-up a…