Domain Generalisation for Mitosis Detection Exploting Preprocessing Homogenizers. - Sahar Almahfouz Nasser; Nikhil Cherian Kurian; Amit Sethi (MIDOG/MOOD/Learn2Reg@MICCAI, 2021)

Single Test Image-Based Automated Machine Learning System for Distinguishing between Trait and Diseased Blood Samples. - Sahar Almahfouz Nasser; Debjani Paul; Suyash P. Awate (CoRR, 2021)

WSSAMNet: Weakly Supervised Semantic Attentive Medical Image Registration Network. - Sahar Almahfouz Nasser; Nikhil Cherian Kurian; Mohit Meena; Saqib Shamsi; Amit Sethi (BrainLes@MICCAI (2), 2022)

Perceptual cGAN for MRI Super-resolution. - Sahar Almahfouz Nasser; Saqib Shamsi; Valay Bundele; Bhavesh Garg; Amit Sethi (EMBC, 2022)

Improving Mitosis Detection via UNet-Based Adversarial Domain Homogenizer. - Tirupati Saketh Chandra; Sahar Almahfouz Nasser; Nikhil Cherian Kurian; Amit Sethi (BIOIMAGING, 2023)

Simulating Ultrasound Images from CT Scans. - Sahar Almahfouz Nasser; Amit Sethi (BIOIMAGING, 2023)

Transforming Breast Cancer Diagnosis: Towards Real-Time Ultrasound to Mammogram Conversion for Cost-Effective Diagnosis. - Sahar Almahfouz Nasser; Ashutosh Sharma; Anmol Saraf; Amruta Mahendra Parulekar; Purvi Haria; Amit Sethi (CoRR, 2023)

Utilizing Radiomic Feature Analysis For Automated MRI Keypoint Detection: Enhancing Graph Applications. - Sahar Almahfouz Nasser; Shashwat Pathak; Keshav Singhal; Mohit Meena; Nihar Gupte; Ananya Chinmaya; Prateek Garg; Amit Sethi (CoRR, 2023)

Utilizing Radiomic Features for Automated MRI Keypoint Detection: Enhancing Graph Applications. - Sahar Almahfouz Nasser; Shashwat Pathak; Keshav Singhal; Mohit Meena; Nihar Gupte; Ananya Chinmaya; Prateek Garg; Amit Sethi (BIOSTEC (1), 2024)

Reverse Knowledge Distillation: Training a Large Model using a Small One for Retinal Image Matching on Limited Data. - Sahar Almahfouz Nasser; Nihar Gupte; Amit Sethi (WACV, 2024)