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Reply to Pastore, E.P. Comment on "Rastogi et al. Brain Tumor Detection and Prediction in MRI Images Utilizing a Fine-Tuned Transfer Learning Model Integrated Within Deep Learning Frameworks. <i>Life</i> 2025, <i>15</i>, 327".

Overview

Authors: Deependra Rastogi1, Prashant Johri2, Massimo Donelli3,4, Lalit Kumar1, Shantanu Bindewari1, Abhinav Raghav1, Sunil Kumar Khatri5
  1. School of Computer Science and Engineering, IILM University, Greater Noida 201306, India
  2. School of Computing Science and Engineering, Galgotias University, Greater Noida 203201, India
  3. Department of Civil, Environmental, Mechanical Engineering University of Trento, 38100 Trento, Italy
  4. Radiomics Laboratory, Department of Economy and Management, University of Trento, 38100 Trento, Italy
  5. Amity University, Noida 201313, India
Institutions: Galgotias University (India); University of Trento (Italy); Amity University (India)
Journal: Life (Basel, Switzerland), volume 16, issue 4, article 536
Dates: received 17 November 2025; accepted 12 March 2026; published online 24 March 2026
Type: Reply · Language: English
License: CC BY
Identifiers: DOI 10.3390/life16040536 · PMID 42073347 · PMCID PMC13117464 · OpenAlex W7140297418
Open access: gold, a free copy (OpenAlex)
Categories: structural MRI / diffusion (modality), other condition (population)
Methods: Connectivity, Machine learning
Topic: Brain Tumor Detection and Classification (Computer Vision and Pattern Recognition, Computer Science), according to OpenAlex
Citations: not cited yet (Europe PMC); 6 references in the paper

Abstract

We are grateful to Dr. Pastore for his thoughtful comments [...].

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

The paper links to its data and to no code of its authors: see the Data section.

Tracing map

A tracing map links a paper to the code its authors published: this paper has none, so it has no map.

Data

Datasets cited

Data Availability Statement

Data will be made available on “Brain tumor [WWW Document], 2020. Kaggle. https://www.kaggle.com/datasets/jakeshbohaju/brain-tumor, accessed on 16 February 2025”.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 30 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 7 authors, 6 references.

Cite

This paper

Rastogi, D., Johri, P., Donelli, M., Kumar, L., Bindewari, S., Raghav, A., & Khatri, S. K. (2026). Reply to Pastore, E.P. Comment on "Rastogi et al. Brain Tumor Detection and Prediction in MRI Images Utilizing a Fine-Tuned Transfer Learning Model Integrated Within Deep Learning Frameworks. <i>Life</i> 2025, <i>15</i>, 327". Life (Basel, Switzerland), 16(4), 536. https://doi.org/10.3390/life16040536

BibTeX

@article{rastogi2026reply,
author = {Rastogi, Deependra and Johri, Prashant and Donelli, Massimo and Kumar, Lalit and Bindewari, Shantanu and Raghav, Abhinav and Khatri, Sunil Kumar},
title = {{Reply to Pastore, E.P. Comment on "Rastogi et al. Brain Tumor Detection and Prediction in MRI Images Utilizing a Fine-Tuned Transfer Learning Model Integrated Within Deep Learning Frameworks. \<i\>Life\</i\> 2025, \<i\>15\</i\>, 327"}},
journal = {Life (Basel, Switzerland)},
year = {2026},
month = mar,
volume = {16},
number = {4},
pages = {536},
publisher = {Multidisciplinary Digital Publishing Institute (MDPI)},
issn = {2075-1729},
doi = {10.3390/life16040536},
url = {https://doi.org/10.3390/life16040536},
pmid = {42073347},
pmcid = {PMC13117464}
}

RIS

TY - JOUR
AU - Rastogi, Deependra
AU - Johri, Prashant
AU - Donelli, Massimo
AU - Kumar, Lalit
AU - Bindewari, Shantanu
AU - Raghav, Abhinav
AU - Khatri, Sunil Kumar
TI - Reply to Pastore, E.P. Comment on "Rastogi et al. Brain Tumor Detection and Prediction in MRI Images Utilizing a Fine-Tuned Transfer Learning Model Integrated Within Deep Learning Frameworks. <i>Life</i> 2025, <i>15</i>, 327"
T2 - Life (Basel, Switzerland)
J2 - Life (Basel)
PY - 2026
DA - 2026/03/24
VL - 16
IS - 4
SP - 536
SN - 2075-1729
PB - Multidisciplinary Digital Publishing Institute (MDPI)
DO - 10.3390/life16040536
UR - https://doi.org/10.3390/life16040536
LA - en
ER -

CSL-JSON

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