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researcher

T. Fevens

6 papers here

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

author position
  • middle author2
  • last author3

Across the 5 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

activity
20182021
most citedThe TCGA Meta-Dataset Clinical Benchmark

6 citations · 6 across the 3 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2020

FoCL: Feature-Oriented Continual Learning for Generative Models

Qicheng Lao, Mehrzad Mortazavi, Marzieh Tahaei +3

In this paper, we propose a general framework in continual learning for generative models: Feature-oriented Continual Learning (FoCL). Unlike previous works that aim to solve the c…

cs.CV2019

Dual Adversarial Inference for Text-to-Image Synthesis

Qicheng Lao, Mohammad Havaei, Ahmad Pesaranghader +3

Synthesizing images from a given text description involves engaging two types of information: the content, which includes information explicitly described in the text (e.g., color,…

cs.CV2019

Case-Based Histopathological Malignancy Diagnosis using Convolutional Neural Networks

Qicheng Lao, Thomas Fevens

In practice, histopathological diagnosis of tumor malignancy often requires a human expert to scan through histopathological images at multiple magnification levels, after which a…

cs.CV2018

Leveraging Disease Progression Learning for Medical Image Recognition

Qicheng Lao, Thomas Fevens, Boyu Wang

Unlike natural images, medical images often have intrinsic characteristics that can be leveraged for neural network learning. For example, images that belong to different stages of…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.