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Nitin Singhal

3 papers · 2022–2026 · 1 venue · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌉 Interdisciplinary Bridge · Bronze

Venues

MIDL (3)

Top co-authors

Saketh Juturu (2) Geetank Raipuria (2) Malini Roy (1) Aman Srivastava (1) Pranab Samanta (1) Raghav Amaravadi (1) Vedang Kshirsagar (1)

Research topics

Deep Learning (3) Computer Vision (2) Domain-Specific (2) Learning Types · Deep Learning (2) Artificial Intelligence (1) Healthcare & Medicine (1) Machine Learning (1) Analysis (1) Clinical (1) Core AI (1) Learning Types · Machine Learning (1) Techniques (1)

Keywords

histopathology image (2) semantic segmentation (1) anomaly detection (1) self-supervised learning (1) u-net architecture (1) multiple instance learning (1) k-nearest neighbor (1) multi-scale feature (1) feature extractor (1) fully convolutional network (1) deep supervision (1) masked instance modelling (1) testicular toxicity (1) unsupervised learning (1) transformer aggregation (1)

Papers

Learning Structure-Aware Foundational Representation of Rat Testicular Tubules Using Multiple Instance Learning MIDL 2026 Unsupervised Cellular Anomaly Detection in Toxicological Histopathology MIDL 2025 YAMU: Yet Another Modified U-Net Architecture for Semantic Segmentation MIDL 2022