◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Jin Tae Kwak

8 papers hereh-index 442 citations13 works total

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

author position
  • last author8

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.IV3
  • cs.LG2
same name
  • Jin Tae Kwak — 4 papers, h 2
  • Jin Tae Kwak — 3 papers, h 4
  • Jin Tae Kwak — 3 papers, h 2
  • Jin Tae Kwak — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedBenchmarking Pathology Foundation Models: Adaptation Strategies and Scenarios

2 citations · 2 across the 8 of their papers we have counts for

collaborators
Showing eess.IVShow all

3 papers · 1 filter

eess.IV2026

Test-Time Instance Selection for Improved Whole Slide Image Analysis

Quoc Anh Nguyen, Sunhong Park, Jin Tae Kwak

Whole Slide Image (WSI) analysis has been widely studied for cancer diagnosis. Conventionally, a gigapixel WSI is divided into small patches and processed by Multiple Instance Lear…

eess.IV2024

GPC: Generative and General Pathology Image Classifier

Anh Tien Nguyen, Jin Tae Kwak

Deep learning has been increasingly incorporated into various computational pathology applications to improve its efficiency, accuracy, and robustness. Although successful, most pr…

eess.IV2024

CAMP: Continuous and Adaptive Learning Model in Pathology

Anh Tien Nguyen, Keunho Byeon, Kyungeun Kim +3

There exist numerous diagnostic tasks in pathology. Conventional computational pathology formulates and tackles them as independent and individual image classification problems, th…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.