Rachana Sathish

29 papers Journal 15Unranked 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
Comput. Biol. Medicine
Rachana Sathish, Debdoot Sheet
2025 conf
iMIMIC@MICCAI
Rachana Sathish, Rahul Venkataramani
2025 conf
ISBI
Rahul V, Rachana Sathish, Mrunal Pattanaik, Krishan Agyakari Raja Babu
2024 conf
DEMI@MICCAI
Krishan Agyakari Raja Babu, Rachana Sathish, Mrunal Pattanaik, Rahul Venkataramani
2024 J jnl
CoRR
Krishan Agyakari Raja Babu, Rachana Sathish, Mrunal Pattanaik, Rahul Venkataramani
2023 J jnl
Medical Image Anal.
Chinedu Innocent Nwoye, Deepak Alapatt, Tong Yu, Armine Vardazaryan, Fangfang Xia, Zixuan Zhao, Tong Xia, Fucang Jia, Yuxuan Yang, Hao Wang, Derong Yu, Guoyan Zheng, Xiaotian Duan, Neil Getty, Ricardo Sanchez-Matilla, Maria Robu, Li Zhang, Huabin Chen, Jiacheng Wang, Liansheng Wang, Bokai Zhang, Beerend G. A. Gerats, Sista Raviteja, Rachana Sathish, Rong Tao, Satoshi Kondo, Winnie Pang, Hongliang Ren, Julian Ronald Abbing, Mohammad Hasan Sarhan, Sebastian Bodenstedt, Nithya Bhasker, Bruno Oliveira, Helena R. Torres, Li Ling, Finn Gaida, Tobias Czempiel, João L. Vilaça, Pedro Morais, Jaime C. Fonseca, Ruby Mae Egging, Inge Nicole Wijma, Chen Qian, Guibin Bian, Zhen Li, Velmurugan Balasubramanian, Debdoot Sheet, Imanol Luengo, Yuanbo Zhu, Shuai Ding, Jakob-Anton Aschenbrenner, Nicolas Elini van der Kar, Mengya Xu, Mobarakol Islam, Lalithkumar Seenivasan, Alexander Jenke, Danail Stoyanov, Didier Mutter, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Nicolas Padoy
2023 J jnl
Medical Image Anal.
Chinedu Innocent Nwoye, Tong Yu, Saurav Sharma, Aditya Murali, Deepak Alapatt, Armine Vardazaryan, Kun Yuan, Jonas Hajek, Wolfgang Reiter, Amine Yamlahi, Finn-Henri Smidt, Xiaoyang Zou, Guoyan Zheng, Bruno Oliveira, Helena R. Torres, Satoshi Kondo, Satoshi Kasai, Felix Holm, Ege Özsoy, Shuangchun Gui, Han Li, Sista Raviteja, Rachana Sathish, Pranav Poudel, Binod Bhattarai, Ziheng Wang, Guo Rui, Melanie Schellenberg, João L. Vilaça, Tobias Czempiel, Zhenkun Wang, Debdoot Sheet, Shrawan Kumar Thapa, Max Berniker, Patrick Godau, Pedro Morais, Sudarshan Regmi, Thuy Nuong Tran, Jaime C. Fonseca, Jan-Hinrich Nölke, Estevão Lima, Eduard Vazquez, Lena Maier-Hein, Nassir Navab, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Didier Mutter, Nicolas Padoy
2023 J jnl
CoRR
Chinedu Innocent Nwoye, Tong Yu, Saurav Sharma, Aditya Murali, Deepak Alapatt, Armine Vardazaryan, Kun Yuan, Jonas Hajek, Wolfgang Reiter, Amine Yamlahi, Finn-Henri Smidt, Xiaoyang Zou, Guoyan Zheng, Bruno Oliveira, Helena R. Torres, Satoshi Kondo, Satoshi Kasai, Felix Holm, Ege Özsoy, Shuangchun Gui, Han Li, Sista Raviteja, Rachana Sathish, Pranav Poudel, Binod Bhattarai, Ziheng Wang, Guo Rui, Melanie Schellenberg, João L. Vilaça, Tobias Czempiel, Zhenkun Wang, Debdoot Sheet, Shrawan Kumar Thapa, Max Berniker, Patrick Godau, Pedro Morais, Sudarshan Regmi, Thuy Nuong Tran, Jaime C. Fonseca, Jan-Hinrich Nölke, Estevão Lima, Eduard Vazquez, Lena Maier-Hein, Nassir Navab, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Didier Mutter, Nicolas Padoy
2023 conf
ISIC/Care-AI/MedAGI/DeCaF@MICCAI
Rachana Sathish, Rahul Venkataramani, K. S. Shriram, Prasad Sudhakar
2023 J jnl
CoRR
Rachana Sathish, Rahul Venkataramani, K. S. Shriram, Prasad Sudhakar
2022 J jnl
CoRR
Chinedu Innocent Nwoye, Deepak Alapatt, Tong Yu, Armine Vardazaryan, Fangfang Xia, Zixuan Zhao, Tong Xia, Fucang Jia, Yuxuan Yang, Hao Wang, Derong Yu, Guoyan Zheng, Xiaotian Duan, Neil Getty, Ricardo Sanchez-Matilla, Maria Robu, Li Zhang, Huabin Chen, Jiacheng Wang, Liansheng Wang, Bokai Zhang, Beerend G. A. Gerats, Sista Raviteja, Rachana Sathish, Rong Tao, Satoshi Kondo, Winnie Pang, Hongliang Ren, Julian Ronald Abbing, Mohammad Hasan Sarhan, Sebastian Bodenstedt, Nithya Bhasker, Bruno Oliveira, Helena R. Torres, Li Ling, Finn Gaida, Tobias Czempiel, João L. Vilaça, Pedro Morais, Jaime C. Fonseca, Ruby Mae Egging, Inge Nicole Wijma, Chen Qian, Guibin Bian, Zhen Li, Velmurugan Balasubramanian, Debdoot Sheet, Imanol Luengo, Yuanbo Zhu, Shuai Ding, Jakob-Anton Aschenbrenner, Nicolas Elini van der Kar, Mengya Xu, Mobarakol Islam, Lalithkumar Seenivasan, Alexander Jenke, Danail Stoyanov, Didier Mutter, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Nicolas Padoy
2022 conf
ICVGIP
Raviteja Sista, Rachana Sathish, Riya Agrawal, Utpal De, Partha Pratim Chakrabarti, Debdoot Sheet
2021 conf
EMBC
Mahalakshumi Visvanathan, Velmurugan Balasubramanian, Rachana Sathish, Suhasini Balasubramaniam, Debdoot Sheet
2021 J jnl
Medical Image Anal.
A. Emre Kavur, Naciye Sinem Gezer, Mustafa Baris, Sinem Aslan, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savas Özkan, Bora Baydar, Dmitry A. Lachinov, Shuo Han, Josef Pauli, Fabian Isensee, Matthias Perkonigg, Rachana Sathish, Ronnie Rajan, Debdoot Sheet, Gurbandurdy Dovletov, Oliver Speck, Andreas Nürnberger, Klaus H. Maier-Hein, Gözde B. Akar, Gözde B. Ünal, Oguz Dicle, M. Alper Selver
2020 J jnl
CoRR
A. Emre Kavur, Naciye Sinem Gezer, Mustafa Baris, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savas Özkan, Bora Baydar, Dmitry A. Lachinov, Shuo Han, Josef Pauli, Fabian Isensee, Matthias Perkonigg, Rachana Sathish, Ronnie Rajan, Sinem Aslan, Debdoot Sheet, Gurbandurdy Dovletov, Oliver Speck, Andreas Nürnberger, Klaus H. Maier-Hein, Gözde B. Akar, Gözde B. Ünal, Oguz Dicle, M. Alper Selver
2020 J jnl
CoRR
Abhilash Nandy, Rachana Sathish, Debdoot Sheet
2020 conf
EMBC
Rakshith Sathish, Rachana Sathish, Ramanathan Sethuraman, Debdoot Sheet
2020 J jnl
CoRR
Rakshith Sathish, Rachana Sathish, Ramanathan Sethuraman, Debdoot Sheet
2020 conf
EndoCV@ISBI
Velmurugan Balasubramanian, Rajiv Kumar, Sarasa Jyothsna Kamireddi, Rachana Sathish, Debdoot Sheet
2019 conf
EMBC
Rachana Sathish, Ronnie Rajan, Anusha Vupputuri, Nirmalya Ghosh, Debdoot Sheet
2019 J jnl
CoRR
Rachana Sathish, Ronnie Rajan, Anusha Vupputuri, Nirmalya Ghosh, Debdoot Sheet
2019 J jnl
CoRR
Oindrila Saha, Rachana Sathish, Debdoot Sheet
2019 conf
MIDL
Oindrila Saha, Rachana Sathish, Debdoot Sheet
2019 J jnl
CoRR
Shanka Subhra Mondal, Rachana Sathish, Debdoot Sheet
2019 ch.
Handbook of Deep Learning Applications
Kaustuv Mishra, Rachana Sathish, Debdoot Sheet
2019 conf
CVPR Workshops
Rachana Sathish, Debdoot Sheet
2019 J jnl
CoRR
Rachana Sathish, Debdoot Sheet
2017 conf
CVPR Workshops
Kaustuv Mishra, Rachana Sathish, Debdoot Sheet
2016 conf
ICVGIP Workshops
Kaustuv Mishra, Rachana Sathish, Debdoot Sheet
tests/unit/conftest.py
← Index tests/unit/conftest.py python
"""
Unit test configuration.

Replaces the redb.extractors package with a minimal stub so that
``from redb.extractors.database_exporters import ...`` works without
pulling in the heavy __init__.py import chain (pefile, elftools,
signify, magic, etc.).

Also stubs out redb.settings so that Elasticsearch / ClickHouse
clients are never actually created during unit tests.

Additionally installs binaryninja stubs for decompiler unit tests.

Stubs heavy third-party packages (pefile, magic, psutil, etc.) so that
redb.workers, redb.queries, redb.ingestor, and redb.s3_utils can all
be imported and patched in unit tests without requiring the real packages.
"""
import sys
import types
from pathlib import Path
from unittest.mock import MagicMock

# ---------------------------------------------------------------------------
# 0. Install binaryninja stubs FIRST — must happen before any decompiler
#    module is imported (triggered by __init__.py chain).
# ---------------------------------------------------------------------------
from tests.unit.conftest_binja_stubs import install_binja_stubs as _install_binja_stubs
_install_binja_stubs()

# ---------------------------------------------------------------------------
# 1. Stub external packages required by database_exporters.py itself,
#    the decompiler chain, and the workers/ingestor modules.
# ---------------------------------------------------------------------------
_heavy_deps = [
    # Database / networking
    "elasticsearch", "clickhouse_connect", "dotenv",
    # Binary analysis — top-level packages
    "pefile", "magic", "machofile",
    # Archive handling
    "py7zr", "pyzipper",
    # File type detection
    "magika",
    # System monitoring
    "psutil",
    # S3 / MinIO (submodule paths needed for `from minio.error import S3Error`)
    "minio", "minio.error",
    # YARA
    "yara_x",
    # Binary parsing — elftools tree
    "elftools", "elftools.elf", "elftools.elf.elffile",
    "elftools.common", "elftools.common.exceptions",
    # Code signing — signify tree
    "signify", "signify.fingerprinter", "signify.authenticode",
    # LIEF
    "lief",
    # Fuzzy hashing
    "ppdeep",
    # .NET analysis
    "dotnetfile",
    # Crypto / ASN.1
    "asn1crypto", "asn1crypto.cms", "asn1crypto.pem", "asn1crypto.x509", "asn1crypto.core",
    # Hashing
    "xxhash", "blake3", "mmh3", "numpy",
    # APK analysis
    "androguard", "androguard.core", "androguard.core.apk",
    "androguard.core.dex", "androguard.core.api_specific_resources",
    "androguard.misc",
    "permhash",
]
for _mod in _heavy_deps:
    if _mod not in sys.modules:
        try:
            __import__(_mod)
        except (ImportError, ModuleNotFoundError):
            sys.modules[_mod] = MagicMock()

# Stub urllib3 with a real Warning subclass (warnings.filterwarnings needs a class)
if "urllib3" not in sys.modules or isinstance(sys.modules.get("urllib3"), MagicMock):
    try:
        import urllib3  # noqa: F401
    except (ImportError, ModuleNotFoundError):
        _urllib3_mod = types.ModuleType("urllib3")
        _urllib3_exc = types.ModuleType("urllib3.exceptions")

        class _InsecureRequestWarning(UserWarning):
            pass

        _urllib3_exc.InsecureRequestWarning = _InsecureRequestWarning
        _urllib3_mod.exceptions = _urllib3_exc
        sys.modules["urllib3"] = _urllib3_mod
        sys.modules["urllib3.exceptions"] = _urllib3_exc

# Provide a functional ppdeep stub (tests call ppdeep.hash() and expect a string).
# Must overwrite the MagicMock that the loop above may have installed.
_ppdeep_existing = sys.modules.get("ppdeep")
if _ppdeep_existing is None or isinstance(_ppdeep_existing, MagicMock):
    _ppdeep_mod = types.ModuleType("ppdeep")
    _ppdeep_mod.__name__ = "ppdeep"

    def _ppdeep_hash(data):
        """Fake ssdeep hash — returns a deterministic placeholder."""
        if isinstance(data, str):
            data = data.encode("utf-8")
        if len(data) < 50:
            return None
        import hashlib
        h = hashlib.md5(data).hexdigest()
        return f"3:{h[:16]}:{h[16:]}"

    _ppdeep_mod.hash = _ppdeep_hash
    sys.modules["ppdeep"] = _ppdeep_mod

# Stub mmh3 if the C extension is not available
_mmh3_existing = sys.modules.get("mmh3")
if _mmh3_existing is None or isinstance(_mmh3_existing, MagicMock):
    _mmh3_mod = types.ModuleType("mmh3")
    _mmh3_mod.__name__ = "mmh3"

    def _mmh3_hash(data, seed=0):
        """Fake MurmurHash3 — deterministic hash using built-in hashlib."""
        import hashlib
        if isinstance(data, str):
            data = data.encode("utf-8")
        seed_bytes = (seed & 0xFFFFFFFF).to_bytes(8, "little")
        h = hashlib.md5(data + seed_bytes).digest()
        return int.from_bytes(h[:4], "little", signed=True)

    _mmh3_mod.hash = _mmh3_hash
    sys.modules["mmh3"] = _mmh3_mod

# Stub tlsh if the C extension is not available
if "tlsh" not in sys.modules:
    try:
        import tlsh as _real_tlsh  # noqa: F401
    except (ImportError, ModuleNotFoundError):
        _tlsh_mock = types.ModuleType("tlsh")
        _tlsh_mock.__name__ = "tlsh"

        def _tlsh_hash(data):
            """Fake TLSH hash — returns a deterministic placeholder.

            Returns empty string for data < 50 bytes or data with very
            low entropy (e.g. repeating patterns), mimicking the real
            TLSH library's "TNULL" behaviour.
            """
            if isinstance(data, str):
                data = data.encode("utf-8")
            if len(data) < 50:
                return ""
            # Real TLSH returns "" for low-entropy input
            if len(set(data)) < 8:
                return ""
            import hashlib
            return "T1" + hashlib.sha256(data).hexdigest()[:70].upper()

        _tlsh_mock.hash = _tlsh_hash
        sys.modules["tlsh"] = _tlsh_mock

# ---------------------------------------------------------------------------
# 2. Stub redb.settings (package) so module-level code never runs
# ---------------------------------------------------------------------------
_settings_mock = MagicMock()
_settings_mock.__name__ = "redb.settings"
sys.modules["redb.settings"] = _settings_mock
sys.modules["redb.settings.elasticsearch"] = MagicMock()
sys.modules["redb.settings.clickhouse"] = MagicMock()

# ---------------------------------------------------------------------------
# 3. Replace redb.extractors with a minimal package that does NOT eagerly
#    import every extractor (and their heavy deps).  Sub-module imports
#    like ``from redb.extractors.database_exporters import ...`` still work
#    because __path__ points to the real package directory.
# ---------------------------------------------------------------------------
_repo_root = Path(__file__).resolve().parents[2]
_extractors_pkg = types.ModuleType("redb.extractors")
_extractors_pkg.__path__ = [str(_repo_root / "redb" / "extractors")]
_extractors_pkg.__package__ = "redb.extractors"
sys.modules["redb.extractors"] = _extractors_pkg

# ---------------------------------------------------------------------------
# 4. Force-import redb submodules so that @patch('redb.workers.xxx'),
#    @patch('redb.queries.xxx'), etc. can resolve at decoration time.
#    This works because all heavy deps are already stubbed above.
# ---------------------------------------------------------------------------
import redb.logging_utils   # noqa: F401, E402
import redb.s3_utils         # noqa: F401, E402
import redb.queries          # noqa: F401, E402
import redb.workers          # noqa: F401, E402
import redb.ingestor         # noqa: F401, E402