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Bappaditya Dey

imec;University of Louisiana at Lafayette

5 papers hereh-index 15606 citations64 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2
  • last author2

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.CV1
  • eess.IV1
  • eess.SP1
affiliations
  • imec;University of Louisiana at Lafayette
ORCID 0000-0002-0886-137X

identity via Semantic Scholar / OpenAlex

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

High-Fidelity Synthetic Transmission Electron Microscopy Image Generation Using Diffusion Probabilistic Models for Data-Limited Semiconductor Metrology

Johannes Boehm, Bappaditya Dey

Advanced semiconductor nodes drastically increased demand for Transmission Electron Microscopy (TEM), yet destructive sample preparation, slow imaging and high costs severely limit…

cs.CV2024

Advancing SEM Based Nano-Scale Defect Analysis in Semiconductor Manufacturing for Advanced IC Nodes

Bappaditya Dey, Matthias Monden, Victor Blanco +2

In this research, we introduce a unified end-to-end Automated Defect Classification-Detection-Segmentation (ADCDS) framework for classifying, detecting, and segmenting multiple ins…

cs.CV2024

An Evaluation of Continual Learning for Advanced Node Semiconductor Defect Inspection

Amit Prasad, Bappaditya Dey, Victor Blanco +1

Deep learning-based semiconductor defect inspection has gained traction in recent years, offering a powerful and versatile approach that provides high accuracy, adaptability, and e…

cs.CV2024

Addressing Class Imbalance and Data Limitations in Advanced Node Semiconductor Defect Inspection: A Generative Approach for SEM Images

Bappaditya Dey, Vic De Ridder, Victor Blanco +2

Precision in identifying nanometer-scale device-killer defects is crucial in both semiconductor research and development as well as in production processes. The effectiveness of ex…

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